System for AI-supported personalized diagnosis and treatment of mental health

Abstract

AI-assisted personalized mental health diagnosis and treatment system, including: a data acquisition module configured to capture multimodal data from speech, text, facial expressions, physiological signals, and user behavior; an AI-based diagnostic module that uses machine learning and natural language processing to assess mental health conditions; a personalized treatment module that generates therapy recommendations, medication suggestions, and lifestyle interventions; a real-time monitoring system that dynamically adjusts treatment based on user data; a clinician support interface that offers AI-driven reports and telemedicine integration; a data protection and security module that ensures compliance with healthcare regulations.

Description

The present invention relates to the field of artificial intelligence (AI) and psychic health care. More particularly, the invention relates to a system and method for AI-assisted personalized diagnosis and treatment of psychic health.Mental disorders including depression, anxiety and posttraumatic stress disorders (PTBS) affect millions of people worldwide and are often diagnosed not or incorrectly due to limitations of conventional diagnostic methods. Traditional psychologic health assessments rely largely on self-reported symptoms and clinical surveys, which may be subjective and prone to distortion. Moreover, access to psychosocial professionals is often restricted due to geographical, financial and systemic barriers, leading to delayed diagnoses and inadequate treatment.Recent advances in artificial intelligence (AI) fields, particularly in machine learning, natural language processing (NLP), and biometric data analysis, offer the ability to revolutionize psychic health care. AI-controlled systems can analyze large amounts of patient data, including speech patterns, facial expressions, physiological signals, and behavioral indicators, to recognize early signs of mental diseases with greater accuracy and objectiveity.However, existing AI-based psychologic health solutions are often limited to chatbotes or general screening tools that lack personalization. These systems are unable to dynamically adapt to the individual needs of the patients, resulting in recommendations that may not be effective or clinically validated. There is a need for an AI-based system that not only accurately diagnoses mental diseases, but also provides personalized treatment recommendations based on real-time data, patient history, and evidence-based therapeutic approaches.To solve the problem, the present invention provides a system for AI-assisted personalized psychic health diagnosis and treatment.The system aims to provide an AI-based solution for personalised diagnosis and treatment of psychic diseases and to overcome the limits of conventional psychiatric care.The system uses AI-controlled algorithms, natural language processing (NLP), and biometric data analysis to detect and diagnose psychosis with greater accuracy and objectiveity than conventional methods.The system generates customized treatment recommendations, including therapy and drug suggestions, as well as changes in the habitat.The system continually tracks the user's behavior, speech patterns, physiological signals, and engagement to dynamically adjust treatment recommendations based on real-time data.The system provides a digital and scalable solution that reduces the dependency on personal consultations and facilitates access to psychosocial support for humans in remote or under-care areas.The system can be integrated seamlessly into portable health devices, smart phones, and other smart technologies to collect physiological and behavioral data for improved diagnosis and monitoring.The system provides data protection and security for user data by encryption, anonymousization, and compliance with legal standards such as HIPAA and GDPR.The system is designed to support various mental diseases and to progress with advances in AI, medical research and patient needs.In one embodiment, the present invention provides an AI-based system for personalized diagnosis and treatment of psychic diseases that integrates advanced machine learning, natural language processing (NLP), and biometric data analysis to improve psychic health care. The system is designed to provide accurate, objective, and adaptive judgments of psychic health while offering personalized treatment recommendations based on real-time data and patient history. The system collects and analyzes multimodal data including speech patterns, facial expressions, physiological signals and behavioral indicators to detect early signs of mental diseases. By employing AI-controlled models trained on different clinical datasets, the system provides precise and evidence-based diagnosis. Moreover, it continuously monitors the reactions and the behavior of the users and thus enables adaptation of the treatment strategies in real time.The invention is explained again below with reference to the figure. The following shows: FIG. 1 : shows a system for AI-assisted personalized diagnosis and treatment of psychic diseases.The system (100) comprises an AI-based platform that enables personalized diagnosis and treatment of psychic health through the integration of artificial intelligence, natural language processing (NLP), biometric data analysis, and machine learning algorithms. It collects multimodal data from various sources including speech patterns, facial expressions, physiological signals and behavioral indicators to ensure a comprehensive evaluation of mental health. The data acquisition module collects data from voice and text inputs, portable healthcare devices, and user interactions with mobile applications and online platforms. This data is then processed by the AI-based diagnostic engine, which detects early signs of mental diseases using mood analysis, emotion detection, and behavior pattern detection. Additionally, anomaly detection techniques help to detect sudden behavioral changes so that the system can intervene in time. After diagnosis, the personalized treatment recommendation module generates customized treatment plans that include therapy techniques such as cognitive behavioral therapy (KVT), attention training, relaxation techniques, and changes in lifestyle. The system continuously monitors the user's responses and physiological data via the real-time monitoring and feedback system and dynamically updates treatment recommendations as needed. The Cliniciian Support Interface offers KI-controlled reports, predictive analyses and secure telemedicine tools to medical professionals to improve data-controlled clinical decision making. To guarantee data protection and security, the data protection and security module uses end-to-end encryption and anonymousization techniques and simultaneously complies with the regulations of the healthcare industry such as HIPAA and GDPR. The system (100) operates on a scalable cloud-based infrastructure, which is accessible as a mobile application, web-based platform or as an integrated solution in existing health systems. Through the use of AI-based findings and continuous monitoring, the system improves the accuracy, accessibility and personalization of the psychiatric care, which ultimately improves the results and well-being of the patients.List of reference characters100 System

Claims

A system for AI-based personalized diagnosis and treatment in the field of psychic health, comprising: a data acquisition module configured to acquire multimodal data from speech, text, facial expressions, physiological signals and user behavior; an AI-based diagnosis module that uses machine learning and natural language processing to evaluate psychic health conditions; a personalized treatment module that generates therapy recommendations, drug suggestions and lifestyle interventions; a real-time monitoring system that dynamically adjusts the treatment based on user data; a clinician support interface that provides AI-controlled reports and telemedicine integration; a data protection and security module ensuring compliance with health care regulations.The system of claim 1, wherein the data acquisition module is integrated with portable devices to acquire physiological measurements.The system of claim 1, wherein the diagnostic engine applies deep learning for emotion and mood analysis.The system of claim 1, wherein the treatment module includes KI-controlled exercises for cognitive behavioral therapy.The system of claim 1, wherein the monitoring system issues warnings based on detected risks of mental health.The system of claim 1, wherein the clinician support interface enables secure video consultations.The system of claim 1, wherein the privacy module implements blockchain for secure storage of data.

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