The University at Buffalo has developed a groundbreaking clinical AI tool called Semantic Clinical Artificial Intelligence (SCAI), which has shown unprecedented accuracy on the USMLE exams. In a study published in JAMA Network Open, SCAI achieved a remarkable score of 95.2% on Step 3, outperforming most human physicians and other AI technologies. Unlike traditional AI that merely finds statistical associations, SCAI enhances clinical decision-making through its reasoning capabilities. Lead researcher Dr. Peter L. Elkin emphasized SCAI's role as an advanced partner in medical care, moving beyond simple computational assistance.
As physicians, we are used to using computers as tools, but SCAI is different; it can add to your decision-making and thinking based on its own reasoning.
We call these tools generative artificial intelligence; some have postulated that they are just plagiarizing what's on the internet because the answers they give you are what others have written.
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