Medical
LLMs factor in unrelated information when recommending medical treatments
A large language model (LLM) deployed to make treatment recommendations can be tripped up by nonclinical information in patient messages, like typos, extra white space, missing gender markers, or the use of uncertain, dramatic, and informal language, according to a study by MIT researchers. They found that making stylistic or grammatical changes to messages increases…
Just add humans: Oxford medical study underscores the missing link in chatbot testing
Join the event trusted by enterprise leaders for nearly two decades. VB Transform brings together the people building real enterprise AI strategy. Learn more Headlines have been blaring it for years: Large language models (LLMs) can not only pass medical licensing exams but also outperform humans. GPT-4 could correctly answer U.S. medical exam licensing questions 90%…
Joseph Mossel, Co-Founder & CEO of Ibex Medical Analytics – Interview Series
Joseph Mossel is the CEO of Ibex Medical Analytics. His career in the tech industry spans more than 20 years, starting off in software development and product management followed with leadership positions in startups, large multinational corporations and non-profits. Joseph has led products from inception all the way to maturity as multi-million-dollar businesses. He holds…