Healthcare AI Weekly: LLM Diagnostic Reasoning + Nurse Concern Signals | Healthcare AI Weekly

Welcome to Healthcare AI Weekly with Raphael Malikian. This episode breaks down two recent peer-reviewed healthcare AI papers: one major paper on large language models for diagnostic reasoning in epilepsy, and one overlooked but important paper on nurse concern signals for inpatient deterioration. Papers covered: 1. "Evaluating large language models for diagnostic reasoning from unstructured clinical narratives in epilepsy" - Dani et al. 2. "Enhancing prediction of inpatient deterioration by combining nursing concern signals with machine learning" Both papers explore how AI can augment clinical judgment - one at the diagnostic reasoning level, the other at the bedside monitoring level. MEDICAL DISCLAIMER: This podcast is for educational and informational purposes only. It is not intended to diagnose, treat, cure, or prevent any medical condition. Nothing discussed in this episode constitutes medical advice. If you have a medical concern or health problem, you must seek attention from a licensed medical professional immediately. Created by Raphael T. Malikian ([email protected]). In true AI fashion, this podcast was created with AI tools including text-to-speech using Microsoft Edge TTS and Hermes Agent by Nous Research. #HealthcareAI #ClinicalAI #MedicalAI #AIinMedicine #DigitalHealth #MachineLearning #HealthTech #AIResearch #ClinicalDecisionSupport #HealthcareInnovation YouTube Channel: https://www.youtube.com/@RaphaelMalikian-g4h Created by Raphael T. Malikian ([email protected]). In true AI fashion, this podcast was created with AI tools including text-to-speech using Microsoft Edge TTS and Hermes Agent by Nous Research.