Large language models (LLMs) have achieved unprecedented accuracy on medical question-answering benchmarks, showcasing their potential to revolutionize healthcare by supporting clinicians and patients. However, these benchmarks often fail to capture the full complexity of real-world…
Patients need reliable health information, but the digital age overwhelms them with excess and often inaccurate information. Patients trust medical professionals the most, but time constraints restrict this communication. To bridge this gap, we at…
Microsoft researchers discuss the transformative potential and core challenges of multimodal models across various domains, including precision health, game intelligence, and foundation models. Microsoft researchers will share their thoughts on future directions, bridging gaps, and…
Microsoft researchers collaborated to release new pathology foundation models. Their report shows models benefit from diverse data, increased model size, and specialized algorithms to enhance the accuracy and applicability of cancer diagnosis and treatment.
Dr. Pascal O. Zinn, MD, PhD, FAANS Dr. Zinn will discuss his experience leveraging state-of-the-art techniques for decoding the human brain during awake surgeries and complex brain tumor removals. Utilizing electrical brain stimulation, electrocorticography (ECoG)…
An AI enabled digital health solution to address delays in maternal care seeking While being amongst the most developed African countries, Kenya still has one of the world’s highest maternal mortality rates (51x that of the…
In this issue: RENC makes 5G vRAN servers more energy efficient; CoExplorer uses AI to keep video meetings on track; Automatic bug detection in LLM-powered text-based games; MAIRA-2: Grounded radiology report generation.