Intelligent diagnosis and treatment system for tinnitus and deafness

Abstract

The application relates to the technical field of tinnitus diagnosis and assistance, and discloses a tinnitus and deafness intelligent diagnosis and treatment system which comprises a patient data acquisition module, a tinnitus test module, an auxiliary diagnosis and prescription module and a treatment module, the patient data acquisition module is used for acquiring medical record data of a patient, and whether the patient is treated by a diagnosis and treatment mode prescribed by the patient is judged, the tinnitus test module comprises a pure tone audiometry test unit and a tinnitus masking test unit. The system screens out n patients with the highest similarity degrees from a medical record database according to the medical record data of the patient, reads the pure tone audiometry thresholds of the n patients, calculates the initial pure tone audiometry threshold of the current patient, and gradually tests to obtain the final pure tone audiometry threshold of the patient, so that the pure tone audiometry threshold of the patient can be quickly obtained, the process of testing the pure tone audiometry threshold from the initial value is shortened, the examination time is reduced, and the speed of the doctor's diagnosis process is accelerated.

Description

Technical Field

[0001] This invention relates to the field of tinnitus diagnosis and auxiliary technology, specifically to an intelligent tinnitus and hearing loss diagnosis and treatment system. Background Technology

[0002] Tinnitus is a common clinical symptom. It generally refers to the subjective sensation of sound in the ear or head without any corresponding external sound source or electromagnetic stimulation; this is called subjective tinnitus, or simply tinnitus or cranial tinnitus. In a broader sense, tinnitus also includes objective tinnitus, which has a corresponding sound source, such as vascular or myogenic murmurs. Tinnitus is different from auditory hallucinations. Hearing specific sounds, such as music or speech, without an external sound source is considered a hallucination. The cause of most tinnitus cases is difficult to determine, and currently there are no drugs approved by the drug regulatory authority to eliminate tinnitus. For most patients with tinnitus of unknown cause, some tinnitus treatments can be received to alleviate the tinnitus or reduce its impact on the patient. Tinnitus treatment prescriptions mainly include two physical methods: tinnitus masking and tinnitus habituation. The principle is primarily to retrain or recode the nervous system, reducing central excitability and increasing central inhibition, breaking the vicious cycle between tinnitus and negative emotions, and prompting patients to adapt to tinnitus, becoming less or no longer aware of it, thereby achieving the therapeutic goal. Clinical practice has revealed an infinite variety of tinnitus sounds, varying from person to person, from ear to ear, and even from time to time and environment. The key to tinnitus physical therapy is accurate detection of individualized tinnitus; however, current pure-tone audiometry threshold measurements are based on fixed values ​​with fluctuations, requiring longer measurement times to determine the specific pure-tone audiometry threshold for different patients. Summary of the Invention

[0003] (a) Technical problems to be solved

[0004] To address the shortcomings of existing technologies, this invention provides an intelligent diagnostic and treatment system for tinnitus and hearing loss, which has advantages such as rapid measurement of a patient's pure-tone audiometry threshold, thus solving the aforementioned technical problems.

[0005] (II) Technical Solution

[0006] To achieve the above objectives, the present invention provides the following technical solution: an intelligent diagnosis and treatment system for tinnitus and hearing loss, characterized in that it includes a patient data acquisition module, a tinnitus testing module, an auxiliary diagnosis and prescription module, and a treatment module;

[0007] The patient data acquisition module is used to collect the patient's medical record data and determine whether the patient has been treated with the prescribed diagnostic and treatment methods. If so, the patient is marked and the doctor is reminded when the patient registers for a consultation. If not, no reminder is given, and the doctor can then choose whether to call the tinnitus test module for auxiliary diagnosis. If not, the auxiliary diagnosis and prescription module is called for diagnosis and prescription.

[0008] The tinnitus testing module includes a pure-tone hearing threshold testing unit and a tinnitus masking testing unit. The pure-tone hearing threshold testing unit, based on the patient's medical record data, selects the top n patients with the highest similarity to the current patient from the medical record database, reads the pure-tone hearing thresholds of the n patients, calculates the initial pure-tone hearing threshold of the current patient, and obtains the patient's final pure-tone hearing threshold through step-by-step testing. The tinnitus masking testing unit obtains the patient's masking threshold through testing. The tinnitus testing module sends the obtained pure-tone hearing threshold and patient masking threshold to the auxiliary diagnosis prescription module.

[0009] The auxiliary diagnostic prescription module includes a patient assessment unit and a diagnostic prescription unit. The patient assessment unit assesses the patient's tinnitus status based on pure tone audiometry threshold and obtains the assessment result. The diagnostic prescription unit reads the patient's medical record data from the patient data acquisition module, extracts the patient's allergens, removes all drugs containing allergens from the database, and then the doctor prescribes the medication.

[0010] The treatment module is used to record and analyze the effects of the patient's treatment process and medication usage.

[0011] As a preferred technical solution of the present invention, the patient data acquisition module collects medical record data from the patient's medical records, including noise exposure duration, whether there is ear disease, whether there is cervical spine disease, and whether the patient has taken ototoxic drugs.

[0012] As a preferred embodiment of the present invention, the specific steps of the patient data acquisition module's workflow are as follows:

[0013] Step A1: Collect medical record data from the patient's medical record. The specific expression is as follows:

[0014] [ZYBL,EBJB,JZJB,YW]

[0015] Among them, ZYBL represents the current patient's noise exposure duration, EBJB represents the number of ear diseases the current patient has, JZJB represents the number of cervical spine diseases the current patient has, and YW represents the number of ototoxic drugs the current patient has taken.

[0016] Step A2: Determine whether the patient has received treatment under the prescribed diagnostic and treatment methods. If so, mark the patient and remind the doctor when the patient registers for a consultation. The doctor will then remeasure the patient's pure tone hearing threshold and proceed to step A3. If the patient has not received treatment under the prescribed diagnostic and treatment methods, the doctor will choose whether to call the tinnitus test module for auxiliary diagnosis.

[0017] Step A3: Call the treatment module to calculate the patient's treatment effect.

[0018] As a preferred embodiment of the present invention, the specific steps for the pure-tone hearing threshold testing unit in the tinnitus testing module to calculate the initial pure-tone hearing threshold of the current patient are as follows:

[0019] Step B1: Read the combined data of all tinnitus patients in the hospital's medical record database;

[0020] Step B2: Calculate the similarity between each tinnitus patient in the hospital's medical record database and the current patient;

[0021] Step B3: Select the top n patients with the highest similarity to the current patient, and read the pure tone audiometry thresholds of the n patients to form a similarity dataset;

[0022] Step B4: Calculate the initial pure tone audiometry threshold for the current patient based on the similarity dataset.

[0023] As a preferred embodiment of the present invention, the specific expression for calculating the similarity between each tinnitus patient in the hospital medical record database and the current patient in step B2 is as follows:

[0024]

[0025] HZBL=ZYBL+EBJB+JZJB+YW

[0026] Wherein, ZYBL represents the current patient's noise exposure duration, EBJB represents the number of ear diseases the current patient has, JZJB represents the number of cervical spine diseases the current patient has, YW represents the number of ototoxic drugs the current patient has taken, and SXD represents... i HZBL represents the similarity between patient i and the current patient, and represents the comprehensive medical record data of the current patient. i This represents the comprehensive medical record data of patient i, wherein the comprehensive medical record data of patient i is HZBL. i The calculation method is consistent with the calculation method for the current patient's comprehensive medical record data. express The absolute value of.

[0027] As a preferred embodiment of the present invention, in step B3, the top n patients with the highest similarity to the current patient are selected, and the pure tone audiometry thresholds of the n patients are read. The expression for the similarity dataset is as follows:

[0028] SXD = [CTYYZ1,…,CTYYZ] j ,…,CTYYZ n ]

[0029] Here, SXD represents a similarity dataset composed of the top n patients with the highest similarity to the current patient, whose pure-tone audiometry thresholds are read. The similarity rankings are arranged in ascending order. Internally, it stores the pure-tone audiometry thresholds of the top n patients with the highest similarity to the current patient, CTYYZ1,…,CTYYZ. j ,…,CTYYZ n Let f(x) represent the pure-tone audiometry thresholds of the patient ranked 1st in similarity, ..., the pure-tone audiometry thresholds of the patient ranked jth in similarity, ..., the pure-tone audiometry thresholds of the patient ranked nth in similarity, respectively.

[0030] As a preferred embodiment of the present invention, the specific expression for calculating the initial pure-tone audiometry threshold of the current patient based on the similarity dataset in step B4 is as follows:

[0031]

[0032] Among them, CSYZ 1 This indicates the patient's initial pure-tone audiometry threshold. Indicates to Round up. This represents the summation of the pure-tone audiometry thresholds of the top n patients in terms of similarity, where BZCS represents the standard value for pure-tone audiometry.

[0033] As a preferred embodiment of the present invention, the specific steps for obtaining the patient's final pure-tone hearing threshold after step-by-step testing by the pure-tone hearing threshold testing unit are as follows:

[0034] Step C1: Set the initial pure-tone audiometry threshold for the patient to CSYZ. 1 ;

[0035] Step C2: If the patient responds, proceed to step C3; if the patient does not respond, proceed to step C4.

[0036] Step C3: Lower the pure tone hearing threshold to CSYZ 1 -m*5, where m represents the number of iterations in step C3. If the patient does not respond, iterate through step C3; if the patient responds, execute step C4.

[0037] Step C4: Adjust the pure tone hearing threshold to CSYZ1 -m*5+a, and iterate through step C4 until the patient responds, where a represents the number of iterations in step C4, and the pure tone hearing threshold at this point is taken as the patient's final pure tone hearing threshold.

[0038] Step C5: Increment the pure tone hearing threshold to CSYZ 1 +M*2, where M represents the number of iterations in step C5 until the patient responds, and the pure tone hearing threshold at this point is taken as the patient's final pure tone hearing threshold.

[0039] As a preferred embodiment of the present invention, the patient assessment unit assesses the patient's tinnitus status based on pure-tone audiometry thresholds, and derives the specific expression of the assessment result as follows:

[0040]

[0041] In this context, PGJG represents the assessment result, ZZYZ represents the patient's final pure-tone hearing threshold, and ZC represents the final pure-tone hearing threshold in a normal person.

[0042] As a preferred embodiment of the present invention, the specific expression for the effect of the treatment module in analyzing the patient's treatment process is as follows:

[0043]

[0044] Wherein, XG represents the effect of the patient's treatment process, ZZYZ represents the patient's final pure tone hearing threshold, and DQYZ represents the patient's final pure tone hearing threshold obtained after the treatment process.

[0045] Compared with the prior art, the present invention provides an intelligent diagnosis and treatment system for tinnitus and hearing loss, which has the following beneficial effects:

[0046] This invention uses patient medical record data to select the top n patients with the highest similarity to the current patient from the medical record database, reads the pure tone audiometry thresholds of the n patients, calculates the initial pure tone audiometry threshold of the current patient, and obtains the final pure tone audiometry threshold of the patient through step-by-step testing. This allows for the rapid determination of the patient's pure tone audiometry threshold, shortens the process of obtaining the pure tone audiometry threshold by step-by-step testing from the initial pure tone audiometry threshold, reduces examination time, and speeds up the doctor's diagnostic process. Attached Figure Description

[0047] Figure 1 This is a schematic diagram of the system framework of the present invention. Detailed Implementation

[0048] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0049] Please see Figure 1 A smart diagnostic and treatment system for tinnitus and hearing loss, characterized in that it includes a patient data acquisition module, a tinnitus testing module, an auxiliary diagnosis and prescription module, and a treatment module;

[0050] The patient data acquisition module collects patient medical record data and determines whether the patient has received any prescribed treatment. If so, the module marks the patient and alerts the doctor during their appointment. If not, no alert is given, and the doctor can then choose whether to use the tinnitus testing module for auxiliary diagnosis. If not, the auxiliary diagnostic prescription module is used for diagnosis and prescription. The patient data acquisition module collects data from the patient's medical record, including noise exposure duration, presence of ear diseases, presence of cervical spine diseases, and whether ototoxic drugs have been taken. The specific workflow steps of the patient data acquisition module are as follows:

[0051] Step A1: Collect medical record data from the patient's medical record. The specific expression is as follows:

[0052] [ZYNL,EBJB,JZJB,YW]

[0053] Among them, ZYBL represents the current patient's noise exposure duration, EBJB represents the number of ear diseases the current patient has, JZJB represents the number of cervical spine diseases the current patient has, and YW represents the number of ototoxic drugs the current patient has taken.

[0054] Step A2: Determine whether the patient has received treatment under the prescribed diagnostic and treatment methods. If so, mark the patient and remind the doctor when the patient registers for a consultation. The doctor will then remeasure the patient's pure tone hearing threshold and proceed to step A3. If the patient has not received treatment under the prescribed diagnostic and treatment methods, the doctor will choose whether to call the tinnitus test module for auxiliary diagnosis.

[0055] Step A3: Call the treatment module to calculate the patient's treatment effect;

[0056] The tinnitus testing module includes a pure-tone audiometry unit and a tinnitus masking unit. The pure-tone audiometry unit, based on the patient's medical record data, filters out the top n patients with the highest similarity to the current patient from the medical record database, reads the pure-tone audiometry thresholds of these n patients, and calculates the initial pure-tone audiometry threshold for the current patient. The specific steps for the pure-tone audiometry unit in the tinnitus testing module to calculate the initial pure-tone audiometry threshold for the current patient are as follows:

[0057] Step B1: Read the data of all tinnitus patients in the hospital's medical record database;

[0058] Step B2: Calculate the similarity between each tinnitus patient in the hospital's medical record database and the current patient. The specific expression is as follows:

[0059]

[0060] HZBL=ZYBL+EBJB+JZJB+YW

[0061] Wherein, ZYBL represents the current patient's noise exposure duration, EBJB represents the number of ear diseases the current patient has, JZJB represents the number of cervical spine diseases the current patient has, YW represents the number of ototoxic drugs the current patient has taken, and SXD represents... i HZBL represents the similarity between patient i and the current patient, and represents the comprehensive medical record data of the current patient. i This represents the comprehensive medical record data of patient i, HZBL. i The calculation method is consistent with the calculation method for the current patient's comprehensive medical record data. express The absolute value;

[0062] Step B3: Select the top n patients with the highest similarity to the current patient, and read the pure-tone audiometry thresholds of these n patients to form a similarity dataset. The expression for selecting the top n patients with the highest similarity to the current patient and reading the pure-tone audiometry thresholds of these n patients to form the similarity dataset in step B3 is as follows:

[0063] SXD = [CTYYZ1,…,CTYYZ] j ,…,CTYYZ n ]

[0064] Here, SXD represents a similarity dataset composed of the top n patients with the highest similarity to the current patient, whose pure-tone audiometry thresholds are read. The similarity rankings are arranged in ascending order. Internally, it stores the pure-tone audiometry thresholds of the top n patients with the highest similarity to the current patient, CTYYZ1,…,CTYYZ. j ,…,CTYYZ nLet f(x) represent the pure tone audiometry thresholds of the patient ranked 1st in similarity, ..., the pure tone audiometry thresholds of the patient ranked jth in similarity, ..., the pure tone audiometry thresholds of the patient ranked nth in similarity, respectively.

[0065] Step B4: Calculate the initial pure-tone audiometry threshold for the current patient based on the similarity dataset. The specific expression for calculating the initial pure-tone audiometry threshold for the current patient based on the similarity dataset in step B4 is as follows:

[0066]

[0067] Among them, CSYZ 1 This indicates the patient's initial pure-tone audiometry threshold. Indicates to Round up. The pure-tone audiometry thresholds of the top n patients in terms of similarity are summed, where BZCS represents the standard value for pure-tone audiometry threshold testing. After step-by-step testing, the final pure-tone audiometry threshold for each patient is obtained. The tinnitus masking test unit determines the patient's masking threshold through testing. The tinnitus testing module sends the obtained pure-tone audiometry threshold and the patient's masking threshold to the auxiliary diagnostic root-induction module. The specific steps of the pure-tone audiometry threshold testing unit obtaining the patient's final pure-tone audiometry threshold through step-by-step testing are as follows:

[0068] Step C1: Set the initial pure-tone audiometry threshold for the patient to CSYZ. 1 ;

[0069] Step C2: If the patient responds, proceed to step C3; if the patient does not respond, proceed to step C4.

[0070] Step C3: Lower the pure tone hearing threshold to CSYZ 1 -m*5, where m represents the number of iterations in step C3. If the patient does not respond, iterate through step C3; if the patient responds, execute step C4.

[0071] Step C4: Adjust the pure tone hearing threshold to CSYZ 1 -m*5+a, and iterate through step C4 until the patient responds, where a represents the number of iterations in step C4, and the pure tone hearing threshold at this point is taken as the patient's final pure tone hearing threshold.

[0072] Step C5: Increment the pure tone hearing threshold to CSYZ 1 +M*2, where M represents the number of iterations in step C5 until the patient responds, and the pure tone hearing threshold at this point is taken as the patient's final pure tone hearing threshold.

[0073] The auxiliary diagnostic prescription module includes a patient assessment unit and a diagnostic prescription unit. The patient assessment unit evaluates the patient's tinnitus status based on pure-tone audiometry thresholds and derives the assessment result using the following specific expression:

[0074]

[0075] Among them, PGJG represents the assessment result, ZZYZ represents the patient's final pure tone hearing threshold, and ZC represents the final pure tone hearing threshold of a normal person. The diagnostic prescription unit reads the patient's medical record data from the patient data acquisition module, extracts the patient's allergens, and removes all drugs containing allergens from the database before the doctor prescribes the medication.

[0076] The treatment module is used to record and analyze the effects of a patient's treatment process and medication usage. The specific expression for analyzing the effects of a patient's treatment process in the treatment module is as follows:

[0077]

[0078] In this module, XG represents the patient's treatment outcome, ZZYZ represents the patient's final pure-tone audiometry threshold, and DQYZ represents the final pure-tone audiometry threshold obtained after the treatment process. The treatment module also includes treatment plan records: detailed records of the patient's treatment plan, including treatment goals, specific methods (such as medication, physical therapy, surgery, etc.), expected efficacy, and possible side effects. It also accurately records the patient's medication usage, including drug name, dosage, route of administration, time of administration, and frequency. Special attention should be paid to recording whether the patient takes medication on time and medication adherence, and generating personalized treatment effect reports to facilitate communication between doctors and patients, help patients understand their condition and future treatment direction, and provide patients with educational resources about the disease and treatment process, including frequently asked questions, dietary guidance, and lifestyle changes, to help improve treatment adherence. Data from the treatment module is regularly summarized to analyze the treatment effects of medical staff, develop and optimize medical quality standards, and ensure continuous improvement in clinical treatment.

[0079] Example:

[0080] In this embodiment, the patient's medical record data is: [4,1,0,0], HZBL=ZYBL+EBJB+JZJB+YW=5, n=5, BZCS=25, and the top 5 patients with the highest similarity to the current patient are selected, and the pure tone audiometry thresholds of the 5 patients are read, SXD=[55,45,60,58,49]. The specific expression for calculating the initial pure-tone audiometry threshold of the current patient is as follows:

[0081]

[0082] At this point, the initial pure-tone audiometry threshold for the patient is set to CSYZ. 1 =40, at which point the patient does not respond, then the incremental pure tone audiometry threshold is CSYZ. 1 If the patient still shows no response after +1*2=42, then continue increasing to CSYZ. 1 +2*2=44, and the patient responds at this time. The pure tone audiometry threshold at this time is taken as the patient's final pure tone audiometry threshold. This allows for the rapid determination of the patient's pure tone audiometry threshold, shortening the process of gradually testing from the initial value of the pure tone audiometry threshold to obtain the pure tone audiometry threshold. This reduces the examination time and speeds up the doctor's diagnostic process.

[0083] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims and their equivalents.

Claims

1. A smart diagnostic and treatment system for tinnitus and hearing loss, characterized in that: It includes a patient data collection module, a tinnitus testing module, an auxiliary diagnosis and prescription module, and a treatment module; The patient data acquisition module is used to collect the patient's medical record data and determine whether the patient has been treated with the prescribed diagnostic and treatment methods. If so, the patient is marked and the doctor is reminded when the patient registers for a consultation. If not, no reminder is given, and the doctor can then choose whether to call the tinnitus test module for auxiliary diagnosis. If not, the auxiliary diagnosis and prescription module is called for diagnosis and prescription. The tinnitus testing module includes a pure-tone audiometry unit and a tinnitus masking unit. The pure-tone audiometry unit, based on the patient's medical record data, filters out the top-ranked patients with the highest similarity from the medical record database. The patient, and read The pure tone hearing threshold of each patient is calculated, and the initial pure tone hearing threshold of the current patient is obtained. After step-by-step testing, the final pure tone hearing threshold of the patient is obtained. The tinnitus masking test unit obtains the patient's masking threshold through testing. The tinnitus test module sends the obtained pure tone hearing threshold and patient masking threshold to the auxiliary diagnosis prescription module. The specific steps by which the pure-tone audiometry unit in the tinnitus testing module calculates the current patient's initial pure-tone audiometry threshold are as follows: Step B1: Read the data of all tinnitus patients in the hospital's medical record database; The patient data acquisition module collects medical record data from patients, including noise exposure duration, presence of ear diseases, presence of cervical spine diseases, and whether ototoxic drugs have been taken. Step B2: Calculate the similarity between each tinnitus patient in the hospital's medical record database and the current patient. The specific expression is as follows: in, This represents the current patient's comprehensive medical record data, including the current patient's noise exposure duration. The current number of patients suffering from ear diseases The current number of patients with cervical spine diseases and the number of ototoxic drugs currently used by the patient Based on comprehensive assessment, Indicates the patient Similarity to current patients, Indicates the patient The patient's comprehensive medical record data Comprehensive medical record data The calculation method is consistent with the calculation method for the current patient's comprehensive medical record data. express The absolute value; Step B3: Filter out the top-ranked patients with the highest similarity to the current patient. The patient, and read The pure tone hearing thresholds of each patient constitute a similarity dataset; Step B4: Calculate the initial pure-tone audiometry threshold for the current patient based on the similarity dataset. The specific expression is as follows: in, This indicates the patient's initial pure-tone audiometry threshold. Indicates to Round up. Indicates the top similarity ranking The pure-tone audiometry thresholds of the patients were summed. This represents the standard value for pure tone hearing threshold testing; The auxiliary diagnostic prescription module includes a patient assessment unit and a diagnostic prescription unit. The patient assessment unit assesses the patient's tinnitus status based on pure tone audiometry threshold and obtains the assessment result. The diagnostic prescription unit reads the patient's medical record data from the patient data acquisition module, extracts the patient's allergens, removes all drugs containing allergens from the database, and then the doctor prescribes the medication. The treatment module is used to record and analyze the effects of the patient's treatment process and medication usage.

2. The intelligent diagnosis and treatment system for tinnitus and hearing loss according to claim 1, characterized in that: The specific steps of the patient data acquisition module's workflow are as follows: Step A1: Collect medical record data from the patient's medical record. The specific expression is as follows: ; Step A2: Determine whether the patient has received treatment under the prescribed diagnostic and treatment methods. If so, mark the patient and remind the doctor when the patient registers for a consultation. The doctor will then remeasure the patient's pure tone hearing threshold and proceed to step A3. If the patient has not received treatment under the prescribed diagnostic and treatment methods, the doctor will choose whether to call the tinnitus test module for auxiliary diagnosis. Step A3: Call the treatment module to calculate the patient's treatment effect.

3. The intelligent diagnosis and treatment system for tinnitus and hearing loss according to claim 1, characterized in that: In step B3, the top-ranked patients with the highest similarity to the current patient are selected. The patient, and read The pure-tone audiometry thresholds of each patient are expressed as follows to form the similarity dataset: in, This indicates that the results will be selected based on the highest similarity to the current patient. The patient, and read A similarity dataset is constructed using the pure-tone audiometry thresholds of 10 patients, with the similarity rankings arranged from smallest to largest. Internally, it stores the data of the top-ranked patients with the highest similarity to the current patient. The patient's pure tone audiometry threshold, These represent the pure-tone audiometry thresholds of the patient ranked first in similarity, Similarity ranking Pure tone audiometry threshold of patients Similarity ranking The pure tone audiometry threshold of the patient.

4. The intelligent diagnosis and treatment system for tinnitus and hearing loss according to claim 1, characterized in that: The specific steps for obtaining the patient's final pure-tone hearing threshold after step-by-step testing by the pure-tone hearing threshold testing unit are as follows: Step C1: Set the initial pure-tone audiometry threshold for the patient to be tested. ; Step C2: If the patient responds, proceed to step C3; if the patient does not respond, proceed to step C4. Step C3: Lower the pure tone hearing threshold to , This indicates the number of iterations for step C3. If the patient does not respond, step C3 is iterated; if the patient responds, step C4 is executed. Step C4: Adjust the pure tone hearing threshold to Iterate through step C4 until the patient responds. This indicates the number of iterations in step C4, and the pure-tone audiometry threshold at this point is taken as the patient's final pure-tone audiometry threshold. Step C5: Increment the pure tone hearing threshold as follows , This indicates the number of iterations in step C5 until the patient responds, and the increased pure-tone audiometry threshold at this point is taken as the patient's final pure-tone audiometry threshold.

5. The intelligent diagnosis and treatment system for tinnitus and hearing loss according to claim 4, characterized in that: The patient assessment unit evaluates the patient's tinnitus status based on pure-tone audiometry thresholds, and the specific expression of the assessment result is as follows: in, Indicates the evaluation results. This indicates the patient's final pure-tone audiometry threshold. This indicates the final pure tone hearing threshold for normal individuals.

6. The intelligent diagnosis and treatment system for tinnitus and hearing loss according to claim 5, characterized in that: The specific expression for the treatment module's analysis of the patient's treatment process effect is as follows: in, This indicates the effectiveness of the patient's treatment process. This indicates the patient's final pure-tone hearing threshold obtained after the treatment process.

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