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Medical AI Applications Blog

Case Studies and Lessons Learned from Applying AI in Healthcare and Pharma.

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...

Purpose: The aim of this study is to develop a novel method for automated generation of radiology reports utilizing radiologist impression texts. By leveraging advanced natural language processing techniques, we...

Data integration has been an enormous challenge in healthcare for decades. This session shows how recent advances across the AI ecosystem combine into a game changer: A solution that automatically...