This talk draws from the paper “LLMs Will Always Hallucinate, and We Need to Live With This” and presents a critical analysis of hallucinations in large language models (LLMs), arguing...
We developed and evaluated an AI chatbot that provides reliable menopause information based on trusted, peer-reviewed sources, such as medical guidelines and position statements from The Menopause Society (TMS). The...
This presentation and talk will provide a review on the different applications of machine learning in neurosurgery. First I plan on discussing the multifaceted use of convolutional neural networks in...
This talk shares key findings, learnings, and a demo from developing AyurGPT, a large language model specialized for medicine consultations on Ayurveda, the traditional Hindu system of medicine. This LLM...
Patient education is a crucial aspect of healthcare, but traditional methods often fail to account for individual differences in literacy and comprehension. Recent advances in natural language processing offer a...