Are you tired of spending countless hours on academic research? Well, there might be a solution. Using generative AI in literature search has the potential to revolutionize the way we gather medical information. However, it’s important to remember that generative AI is still in its early stages, so not all the information it provides may be accurate. Depending on the type of information you need, you may want to consider utilizing different generative AIs.
Can AI save us from the painstaking task of gathering research data? A team of researchers from around the world set out to answer this question by exploring the reliability and effectiveness of generative AI in the medical field.
Professor Masaru Enomoto and his team at the Graduate School of Medicine at Osaka Metropolitan University conducted a study where they compared the performance of two generative AIs, ChatGPT and Elicit, in retrieving medical literature based on specific criteria. The results showed that while ChatGPT suggested fictional articles, Elicit was able to quickly and accurately recommend numerous references, matching the researchers’ level of precision.
Dr. Enomoto explained, “This study was born out of our struggle to manage large volumes of medical literature. While generative AI is still in its early stages, we must proceed with caution as the information it provides may not always be accurate or up-to-date.” He added, “However, we are hopeful that ChatGPT and other generative AIs will continue to evolve and reshape the field of medical research in the future.”
Their findings have been published in Hepatology Communications
