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10,000 patients can be treated by AI doctors in a matter of days, a job that would require at least two years for human doctors.
The use of artificial intelligence (AI) technology to improve functionality across a range of sectors, particularly healthcare, is becoming increasingly prevalent worldwide.
Predictive analytics, medication development, smart virtual health assistants, personalised medicine, and medical imaging and diagnostics have all benefited from the use of AI technologies.
According to a Chinese official media source, the nation has created its first artificial intelligence (AI) hospital town, where AI physicians treat patients virtually.
The technology, created by a group at Beijing's Tsinghua University, trains physician agents in a virtual setting with the goal of advancing medical consulting. According to the team, this will improve their capacity for illness treatment and enable them to evolve autonomously.
According to Global Times, researchers believe the model will assist advance AI doctors' diagnostic abilities from the virtual world to real-world applications and the possibility of providing the general population with high-quality, conveniently located, and reasonably priced healthcare services.
Virtual patient simulation
With the use of the Agent Hospital idea, actual doctors can provide advanced training to medical students by treating virtual patients. Medical students may confidently create treatment plans without the fear of making mistakes that could hurt real patients by modelling a wide range of AI patients.
All medical professionals, nurses, and patients in this virtual world are controlled by intelligent agents with the ability to interact independently thanks to large language models (LLMs).
Global Times reports that the Agent Hospital's advanced AI physician agents have attained an astounding accuracy rate of 93.06 percent on a MedQA dataset, which consists of questions from the US Medical Licencing Exam covering common respiratory illnesses.
These smart agents are capable of simulating every step of patient diagnosis and treatment, including consultation, examination, diagnosis, treatment, and follow-up.
The team claims that 10,000 patients can be treated by AI doctors in a matter of days, a feat that would require at least two years to finish for humans.
The academic team notes that AI hospital town has the ability to model and predict a range of medical scenarios, such as the emergence, dissemination, and containment of infectious diseases in a certain region.
Transforming patient care
There are two main types of entities in the Agent Hospital simulation: patients and medical personnel. The responsibilities of these entities are generated by GPT-3.5, which permits indefinite expansion.
There are multiple consultation and examination rooms in the hospital, which requires a team of medical specialists with intelligent agents to run.
Four nurse agents are assigned to daily support duties, and fourteen doctor agents are responsible for detecting illnesses and developing comprehensive treatment programmes. This structure has been devised by researchers.
According to Liu Yang, the Tsinghua University research team leader of Agent Hospital, the AI hospital town will transform patient diagnosis and care, as reported by Global Times. There are significant benefits that this change should bring to the public and healthcare practitioners alike.
After around six months of intense study and development, Yang told Global Times that the AI hospital town is almost ready for real-world implementation. The town plans to focus on particular application directions and launch operations in the second half of 2024.
Even so, there are still obstacles in the way of the Agent Hospital's adoption and promotion of AI-driven diagnosis and therapy.
The significance of closely adhering to national medical legislation, thoroughly validating technical maturity, and investigating efficient mechanisms for collaborating between AI and humans was underscored by researchers.
Yang asserts that these steps are necessary to reduce any possible threats that AI technology may cause to the public's health.
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