A study conducted by the healthcare system of the University of Virginia (United States) has revealed that the use of Chat GPT Plus has significantly improved the accuracy of diagnoses made by doctors compared to traditional methods. The analysis, led by Dr. Andrew S. Parsons and his team, involved 50 doctors from various specialties such as family medicine, internal medicine, and emergency medicine who tested Chat GPT Plus.
In the study, half of the doctors used Chat GPT Plus to randomly diagnose complex cases, while the other half relied on traditional methods such as medical reference sites and Google searches. After comparing the resulting diagnoses, it was observed that the accuracy of both groups was similar, although the doctors who employed Chat GPT Plus were able to reach diagnoses slightly faster than those who used conventional methods.
The average diagnostic accuracy of the doctors using Chat GPT Plus was 76.3%, while that of those using conventional methods was 73.7%. Additionally, it was noted that the diagnoses made with Chat GPT Plus had an average diagnostic accuracy exceeding 92%, which surprised the researchers. This result suggests that doctors could benefit from specific training to effectively use these tools.
According to Parsons, a leader in clinical skills education at the University of Virginia School of Medicine, artificial intelligence can be an effective and powerful tool for diagnosis. However, he emphasizes that AI alone does not replace the work of doctors but acts as a complement. Despite the proven effectiveness of Chat GPT Plus, the researchers point out the need for doctors to receive more training and experience with this emerging technology to fully leverage its potential.
Chatbots that use 'large language models' are gaining popularity in the medical field, demonstrating an impressive ability to assist in diagnoses and communicate empathetically. Although these systems can resolve complex medical cases, they still require the intervention of a human doctor to ensure appropriate patient care. The researchers highlight the importance of understanding how to effectively leverage these technological tools to improve medical care and patient experience in the healthcare system.