The GPT-4 language model scored on par with ophthalmologists in tests of disease diagnosis ability, demonstrating the great potential of AI in assisting medical diagnosis, especially in the field of ophthalmology.
Reasons why ophthalmology is a focus of AI research:
- Ability to apply AI technology to clinical use: Ophthalmology is a medical field with a lot of image data, very suitable for applying AI algorithms to analyze and diagnose diseases.
- Minimize and improve AI problems: Ophthalmology can help AI researchers solve problems like "hallucination" - a condition where AI "paints" itself with false information.
Research by British scientists:
- The study compared the diagnostic ability of GPT-4 with that of primary physicians, trainees, and professional ophthalmologists.
- The results showed that GPT-4 scored on par with ophthalmologists and surpassed trainees.
- This shows that AI is capable of accurately diagnosing diseases and can assist doctors in diagnosing and treating diseases.
Applications of AI in medicine:
- Patient classification.
- Support diagnosis in areas lacking specialist doctors.
- Early warning of dangerous diseases such as breast cancer.
- However, AI still needs to be improved and controlled to ensure patient safety.