Portable AI-based diagnostic scan and analysis device

Abstract

We provide a compact, portable AI-based diagnostic scan and analysis device that improves healthcare delivery in diverse clinical and emergency settings. [Solution] The portable AI-based diagnostic scan analysis device 100 includes a system initialization interface 101 and a power control and startup hardware module 102 for establishing operational readiness and controlled power distribution. The diagnostic scan interface hardware module 103 acquires image, biosignal, or optical scan data, and the user input and parameter selection hardware module 104 enables the setting of diagnostic parameters. System safety is ensured by the error detection and safety monitoring hardware module 105, after which the scan is initiated by the scan execution trigger hardware module 106. Diagnostic information is presented by the data display and status interface hardware module 107, and processed by the active diagnostic processing hardware module 108 by executing an artificial intelligence algorithm.

Description

Technical Field

[0001] The present invention generally relates to a diagnostic system, and more particularly to a compact and portable AI-based diagnostic scan analysis device designed for rapid and accurate on-site diagnostic analysis. This innovative system is particularly suitable for applications where immediate and autonomous diagnostic evaluation is essential for effective patient care and optimization of medical resources, such as rural healthcare, emergency medical services, home monitoring, etc., ensuring high reliability.

Background Art

[0002] Access to rapid and efficient diagnostic analysis remains a significant challenge, especially in environments where the installation of conventional diagnostic facilities is not practical. In rural areas, emergency medical sites, and fieldwork environments, due to the absence of advanced diagnostic equipment, medical staff have no choice but to rely on minimal infrastructure. This reliance delays the immediate acquisition of important diagnostic information and results in the loss of the availability of information essential for timely treatment decisions.

[0003] Conventional diagnostic methods generally rely on established imaging diagnostic systems such as ultrasonic devices, CT devices, and MRI devices. These systems require a large physical space and a large amount of capital investment, and further require advanced technical expertise. Their complex installation configurations limit accessibility in environments lacking advanced infrastructure and limit patients' access to high-quality diagnostic resources in the most needed situations.

[0004] In response to these limitations, various portable devices for acquiring clinical data have been developed. However, these devices mainly output only raw data and do not have an inherent interpretation function. While they facilitate data collection in remote or resource-scarce environments, the subsequent analysis and diagnostic burden are entrusted to external systems or specialists, which particularly hinders immediate clinical decision-making in emergency medical situations.

[0005] Existing diagnostic systems suffer from significant drawbacks, including high costs, large size, and excessive reliance on specialized personnel for data interpretation. Furthermore, many current solutions rely on cloud-based processing, which introduces latency, increases data security concerns, and requires a stable communication environment. These constraints severely limit practicality, particularly in high-speed or remote environments where rapid and autonomous diagnostic decisions are critical to patient care.

[0006] In light of the inherent shortcomings of current diagnostic technologies, there is a strong need for alternative solutions to address these challenges. This need is clearly demonstrated by the present invention, titled "Portable AI-Based Diagnostic Scan and Analysis Device," which is particularly aimed at providing rapid on-site diagnostic evaluation. The invention aims to provide immediate and autonomous diagnostic insights, overcoming the limitations of conventional systems and improving healthcare delivery in diverse clinical and emergency settings. [Overview of the project]

[0007] The accompanying drawings are included to provide a further understanding of this disclosure and constitute part of this specification. The drawings illustrate embodiments of this disclosure and, together with the description, illustrate the principles of this disclosure. [Brief explanation of the drawing]

[0008] [Figure 1] This represents the diagnostic system 100, whose operation begins with the system initialization interface 101, followed by the activation of the power control and startup module 102. The system is connected via the diagnostic scan interface module 103 and can be configured by the user input and parameter selection module 104. Safety checks are performed by the error detection and safety monitoring module 105, after which the scan is initiated by the scan execution trigger module 106. The results are displayed 107, processed using AI 108, verified 109, verified data is saved or output 110, and finally terminated by the system termination module 111. [Modes for carrying out the invention]

[0009] The AI-enabled portable diagnostic scan and analysis device 100 integrates sensing, processing, and user interaction functions into a compact configuration. Operation is initiated through the system initialization interface 101, which starts internal firmware routines and prepares hardware resources. In this stage, key components, including the memory controller, processing unit, and communication interface, are initialized to establish stable operating conditions. The initialization phase ensures synchronization between subsystems, enabling reliable and reproducible analysis performance in various diagnostic environments.

[0010] After initialization, the power control and startup module 102 controls power distribution among internal components. This module manages voltage stabilization, circuit startup, and a controlled startup sequence to prevent transient failures. An integrated monitoring mechanism verifies the operational readiness and protects electronic components from abnormal power conditions. By coordinating the controlled startup of processing and sensing circuits, it prevents unexpected interruptions during subsequent analysis operations and establishes a stable operating foundation.

[0011] After startup, the diagnostic scan interface module 103 establishes communication with the connected scanning device or integrated sensor. Data exchange takes place via a wired interface or a secure wireless channel, depending on the configuration. The module maintains signal fidelity while ensuring compatibility between external diagnostic sources and internal processing structures. The precise interface enables efficient transfer of raw diagnostic inputs, forming the basis for subsequent parameter setting and intelligent analysis.

[0012] User interaction is facilitated by the user input and parameter selection module 104, allowing the operator to configure diagnostic modes and operating parameters. Scan profiles, processing settings, and analysis conditions can be selected through the integrated interface. The configurable environment adapts to diverse applications while ensuring that selected parameters remain within predefined safety and processing limits.

[0013] Before the scan begins, the error detection and safety monitoring module 105 continuously evaluates system integrity and operational readiness. This module monitors communication stability, parameter validity, and hardware status, and detects abnormal conditions. If verification is successful, the scan execution trigger module 106 starts the acquisition process. This safety verification mechanism ensures that diagnostic processing is initiated only when predefined safety thresholds are met, improving the safety and reliability of the device and users.

[0014] During operation, acquired information is presented in real time by the data display and status interface module 107. The active diagnostic processing module 108 performs artificial intelligence analysis, including feature extraction, signal interpretation, and anomaly detection. Local processing enables rapid evaluation without relying on external computing resources. The AI ​​engine converts raw data into interpretable analytical output suitable for immediate decision support.

[0015] After analysis, the processing completion and output confirmation module 109 verifies the diagnostic results and confirms the successful completion of the scan cycle. The processed data is saved or output externally by the data storage or export function 110 to support recording, reporting, or further evaluation. Finally, the system transitions to control termination or low-power standby state via the system termination module 111, conserving energy while maintaining readiness for the next diagnostic session.

Claims

1. A portable AI-based diagnostic scan and analysis system, a. A system initialization interface 101 that initiates system startup and activates the main hardware components, b. A power control and startup module 102 that controls power distribution and manages the startup of subsystems, c. A diagnostic scan interface module 103 that receives diagnostic scan data in the form of image signals, biosignals, or optical scans from one or more diagnostic sensors, and includes a wired input port and a wireless communication interface, and is equipped with signal conditioning functions including filtering, amplification, and normalization, d. A user input and parameter selection module 104 that receives user-defined diagnostic parameters and operation settings, e. An error detection and safety monitoring module 105 that monitors the operating status and detects system failures or abnormal conditions, f. A scan execution trigger module 106 that initiates diagnostic acquisition based on verified inputs and safety conditions, g. An active diagnostic processing module 108 including an embedded artificial intelligence processor that executes stored machine learning algorithms for feature extraction, pattern recognition, and anomaly detection, h. A data display and status interface module 107 that presents diagnostic information and operating status to the user, i. A module 109 that completes the process of generating confirmed diagnostic output and confirms the output, j. A data storage or export module 110 for saving or outputting diagnostic data, k. System shutdown module 111 for safely terminating the operation and A portable AI-based diagnostic scan and analysis system equipped with [features / equipment].

2. The system according to claim 1, characterized in that the diagnostic scan interface module 103 can be simultaneously connected to a plurality of diagnostic sensors, including an image probe, a biosignal electrode, and an optical scanning device.

3. The system according to claim 1, wherein the user input and parameter selection module 104 enables the selection of a diagnostic scan mode and executes a corresponding artificial intelligence algorithm in the active diagnostic processing module 108 in accordance with the selection.

4. The system according to claim 1, wherein the data storage or export module 110 includes non-volatile memory for storing artificial intelligence models, diagnostic datasets, and system firmware.

5. The system according to claim 1, characterized in that the power control and startup module 102 manages energy consumption and, after the completion of diagnostic processing or inactivity, performs control termination in cooperation with the system termination module 111.

Images