The post Tsinghua University develops advanced AI doctor training system appeared on BitcoinEthereumNews.com.

A team of researchers at Tsinghua University has recently unveiled a fully simulated environment for AI medical training. The virtual environment enables virtual doctors to train in a virtual hospital without the need for real-life interaction with actual patients. Also Read: AI helps farmers plant crops and raise livestock The Intelligent Industry Research Institute (AIR) and the Department of Computer Science and Technology at Tsinghua University created a highly detailed simulation of a hospital that includes virtual workers and patients. The virtual environment, known as the Agent Hospital, allows AI doctors to carry out diagnosis and treatment on thousands of virtual patients. The AI doctors, owing to the process of learning and making mistakes, gradually became proficient in diagnosing and treating patients.  Virtual environment enables AI doctors to diagnose virtual patients The main benefit of this simulated environment is that it allows the user to work with a large number of cases without having to wait for real patients. This method is not only faster in terms of training but also economically efficient. In this way, the AI can accumulate thousands of virtual patients’ data in a relatively short time. Also Read:  Meta suspend plans to train AI on EU users’ data The researchers employed a process known as the MedAgent-Zero method in the training of virtual AI doctors on 10,000 patients’ records. They trained large language models on eight diseases to produce electronic health records. These diseases included acute nasopharyngitis, acute rhinitis, bronchial asthma, chronic bronchitis, COVID-19, Influenza A, Influenza B, and mycoplasma infection. The virtual patients had different signs and stages of the disease, making the database of the training set diverse. The AI doctor, built with the GPT-3.5-turbo-1106 model, became much more effective in a short time. It handled 10,000 virtual cases and reported high success rates…

---

Filed under: News - @ June 16, 2024 8:14 pm