Be the First to Experience Shanghai Jiao Tong University's Latest Large-scale Agent Psychological Clinic! The First Author of the Paper Deeply Interprets the Cutting-edge Progress of Role-playing Agent
In today's fast-paced society, people's attention to mental health is also increasing. However, today's mental health medical resources are obviously insufficient, especially in low-income and middle-income countries. At the same time, the distribution of relevant medical resources is mainly concentrated in cities and large institutions. This unbalanced distribution has led to a large number of patients suffering from mental disorders such as depression and difficulty in obtaining corresponding medical assistance in a timely manner.
In response to this, Professor Wu Mengyue's team from the X-LANCE Laboratory of Shanghai Jiao Tong University collaborated with the University of Texas at Arlington (UTA), Tianqiao Brain Science Institute (TCCI) and ThetaAI.We have built an automated large-scale dialogue agent simulation system, the Agent Mental Clinic (AMC).Used for preliminary diagnosis of depression. This system can simulate psychiatrists and potential depression patients at the same time, and simulate depression consultation dialogues.
In the fourth Meet AI4S live broadcast,HyperAI invited the first author of this research paper, Lan Kunyao, a doctor from the Cross-Media Language Intelligence Laboratory of Shanghai Jiao Tong University,He will give a detailed introduction to the design ideas, technical highlights and other practical contents of the Intelligent Psychological Clinic AMC under the title of "Mental Health Diagnosis and Consultation Platform Based on Large Model Agent".
It is worth mentioning that the demo of the Intelligent Psychological Clinic AMC has not yet been officially launched. Dr. Lan Kunyao will show this agent-based mental health dialogue platform for the first time in this live broadcast.Audiences participating in the live broadcast will also have the opportunity to get early access to the demo.Come make an appointment to watch the live broadcast!
Scan the QR code and remark "AI4S" to join the discussion group⬇️
Guest Introduction
Lan Kunyao
PhD, Cross-media Language Intelligence Laboratory, Shanghai Jiao Tong University
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A mental health consultation and consultation platform based on a large model agent
Introduction
This research group proposed the "Big Model Agent Psychological Clinic", which aims to build an agent-based mental health dialogue platform. By simulating the dialogue between patients and psychiatrists, the big model intelligent body in the platform can evolve itself and optimize the performance.
The project designed a psychiatrist agent with a three-level memory structure, equipped with dialogue control and reflection plug-ins to act as a "supervisor", and improved the commonly used memory sampling module. At the same time, the patient agent was initialized using a depression consultation dataset collected from real-life scenarios, providing sufficient event information for the construction of simulated patients. The chat that simulated patient dialogues achieved a higher accuracy in the diagnosis of depression risk and suicide risk.
Audience benefits
1. Discuss the difficulties and challenges of large-scale intelligent agents in self-iterative evolution 2. Get early access to the demo of the large-scale intelligent agent psychological clinic before it is officially launched
3. Understand the current cutting-edge research results and future development directions of role-playing agents
Paper Review
HyperAI has previously interpreted and shared the research paper "Depression Diagnosis Dialogue Simulation: Self-improving Psychiatrist with Tertiary Memory" with Dr. Lan Kunyao as the first author.
Research highlights
* A new type of dialogue agent simulation system was built to simulate the diagnostic conversation between patient agent and psychiatrist agent, providing an effective new method for training trainee psychiatrists and preliminary screening of potential depression patients.
* Propose an innovative three-layer memory structure and memory retrieval module to enhance the agent's summarizing skills in the diagnosis stage, providing a new direction for the optimization of depression diagnosis and dialogue simulation in the future.
* The AMC system has improved both depression diagnosis and suicide prediction, and the framework can be applied to other specific domains and is suitable for training with limited labeled cases.
Based on D4 Data set, verified by professional doctors
D4 The data set was collected by Professor Wu Mengyue's team and quality-verified by professional doctors.
The researchers collected a total of 1,339 conversations of satisfactory quality to form a depression consultation dataset D4, the degree of depression was divided into four categories: none (430 dialogues), mild (342 dialogues), moderate (368 dialogues), and severe (199 dialogues), with an average of 21.6 dialogue rounds. Afterwards, Wu Mengyue's team proposed the SEO depression symptom diagnosis annotation framework to annotate the D4 dataset.
6 steps to achieve consultation
1. Using D-based4 The collected patient portraits generated by GPT-4 are used to initialize a batch of patient agents. The diagnosis results of depressive disorders will not be provided to the patient agent during the patient's consultation process.
2. Patient Agent and psychiatrist Agent have a chat about depression consultation.
3. During the second step, the instructor plug-in will track the symptoms mentioned by the patient and provide the psychiatrist Agent with suggestions for the next step of the conversation based on the progress of the conversation.
4. After the consultation session, the instructor plug-in compares the psychiatrist Agent’s final diagnosis of the patient with D4 The actual doctor's diagnosis results are stored in .
5. The instructor plug-in will summarize the guidance provided to the psychiatrist agent based on the comparison of the diagnosis results and provide it to the psychiatrist agent.
6. After completing a consultation process, the psychiatrist calls the next patient Agent for diagnosis and repeats the process.
Shanghai Jiao Tong University X – LANCE Laboratory
The full name of Shanghai Jiao Tong University X-LANCE Laboratory is Shanghai Jiao Tong University Cross-media Language Intelligence Laboratory.Founded in 2012, it was formerly the Intelligent Speech Laboratory (SpeechLab). After years of development, it has become a "cross-modal language intelligence laboratory" covering all core research areas of audio-visual language information processing.
At present, the faculty of the Cross-Media Language Intelligence Laboratory consists of 1 professor, 4 associate professors and 1 research assistant, with more than 20 doctoral students, more than 30 master students, and more than 30 undergraduates from ACM classes, AI classes, IEEE classes, CS majors of the School of Electrical Engineering, Paris Institute of Excellence, Michigan Institute, etc.
The laboratory has received support from many national and corporate projects, including the National Key R&D Program and the National Natural Science Foundation of China's Excellent Young Scientist Fund. The laboratory has in-depth cooperation with AIS Technology Co., Ltd. to establish the "Shanghai Jiaotong University AIS Intelligent Human-Computer Interaction Joint Laboratory". The laboratory can mobilize rich data resources and rich computing resources of up to hundreds of H800, A800, A10 and other GPU cards. It is one of the very few artificial intelligence laboratories in the world that can conduct industrial-level large-scale data analysis and research.
Students with a psychology background and an interest in computational mental health are welcome to join the research~
Laboratory homepage:
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