From uncovering treatments at speeds once thought impossible to diagnosing diseases with pinpoint accuracy, AI is rewriting the rules of medical research. Caution ahead.
Whether you’re a physician embracing artificial intelligence or one with a wait-and-see attitude, generative AI is helping with research, literature reviews, data analysis, and even the creation of clinical trial protocols. Scary or thrilling?reported using AI to review and analyze medical literature and data.
Clinical reference, which is key to medical research, is another vital component that’s often missing when using AI. That’s because these bots are highly susceptible to “hallucinations,” which means the bots are inventing information that isn’t necessarily accurate. “The algorithms themselves are improving by leaps and bounds every year,” D’Souza said. “There are additional mechanisms being put into place that allow some of these large language models to prioritize and glean info from reputable sources, such as peer-reviewed articles, versus things that are posted on Reddit or X.”For the time being, it’s best to consider using AI for some research-related tasks as long as you do the extra work to validate the information AI has provided during your search.
The same can’t be said for ChatGPT because it contains way less data than what’s available on other platforms. “The way that AI can help is to try to summarize and filter the enormous amount of data and information out there that’s useful to you right now, given your specific situation and question,” Bernstam said. “How reliable that is remains an open question and is likely to change. The answer it gives today may not be the answer it gives tomorrow, and you have no way of knowing that.”
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