I am a scientist, businessman, author, and philanthropist. For nearly two decades, I was a professor at Harvard Medical School and Harvard School of Public Health where I founded two academic research departments, the Division of Biochemical Pharmacology and the Division of Human Retrovirology.
This story is part of a series on the current progression in Regenerative Medicine. This piece discusses advances in artificial intelligence technologies.
Dr. Rachel Goodman and colleagues at Vanderbilt University investigated chatbox responses in a recent study in. Their study tested ChatGPT-3.5 and the updated GPT-4 using 284 physician-prompted questions to determine accuracy, completeness, and consistency over time. I will analyze their findings and present the pros and cons of incorporating artificial intelligence chatboxes into the healthcare industry.
Of the 180 questions asked for GPT-3.5, 71 were completely accurate, and another 33 were nearly accurate. Roughly 8% of questions were completely incorrect, and most answers given an accuracy score of 2.0 or less were given to the most challenging questions. Most responses were comprehensive to the question, whereas only 12.2% were incomplete. The researchers note that accuracy and completeness correlated across difficulty and question type.
To further cement their findings, the researchers asked the GPT-4 another 60 questions related to ten common medical conditions. Again, the resulting median accuracy was 6.0, and median completeness was 3.0. The mean scores were 5.7 and 2.8. ChatGPT and similar large language models would be the next big step for artificial intelligence incorporating into the healthcare industry. With hundreds of millions of users, people could easily find out how to treat their symptoms, how to contact a physician, and so on.
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