two mirrored robot icons on red and blue background

Image source: Adobe Stock/ProstoSvet

News • Battle of the AI large language models

Elicit: A better ChatGPT for medical research?

Can AI save us from the arduous and time-consuming task of academic research collection? An international team of researchers investigated the credibility and efficiency of generative AI as an information-gathering tool in the medical field.

The research team, led by Professor Masaru Enomoto of the Graduate School of Medicine at Osaka Metropolitan University, fed identical clinical questions and literature selection criteria to two generative AIs; ChatGPT and Elicit. The results showed that while ChatGPT suggested fictitious articles, Elicit was efficient, suggesting multiple references within a few minutes with the same level of accuracy as the researchers. Their findings were published in Hepatology Communications.

Access to information using generative AI is still in its infancy, so we need to exercise caution as the current information is not accurate or up-to-date

Masaru Enomoto

“This research was conceived out of our experience with managing vast amounts of medical literature over long periods of time. Access to information using generative AI is still in its infancy, so we need to exercise caution as the current information is not accurate or up-to-date.” Said Dr. Enomoto. “However, ChatGPT and other generative AIs are constantly evolving and are expected to revolutionize the field of medical research in the future.” 


Source: Osaka Metropolitan University

08.12.2023

More on the subject:

Related articles

Photo

News • Brain MRI analysis

AI tool tracks effectiveness of multiple sclerosis treatments

A new AI tool can extract key information from brain MRI scans of multiple sclerosis (MS) patients. This could be used to improve disease and treatment response monitoring.

Photo

News • Review of colonoscopy CADe systems

AI for colon cancer detection: "Right now, this is version 1.0. We need version 4.0”

A rigorous review of evidence showed that AI-assisted technology helps identify colorectal polyps. However, its impact on preventing colon cancer remains unclear.

Photo

News • AI analsis for early detection

Diabetes: eyes as a window to kidney health

A new AI-based approach can predict whether people with type 2 diabetes are likely to develop chronic kidney disease years before symptoms arise, allowing for earlier intervention and treatment.

Related products

Subscribe to Newsletter