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The UTSW AI Innovations Challenge kicks off today! 1st up - Dr. Susheel Kumar kicks off the event and then Dr. Isamu Hartman tells us about #AI assets arising from #AcademicResearch at UTSW! @UTSWTechDev Details & Zoom webinar registration: shorturl.at/FnJPt

We're only beginning to understand this new paradigm of CoT-LLMs. There're so many new phenomena to study, research on it will be very exciting. You know it's a start of something good when your first model (with extra tuning) gets 93% on AIME’24 and does IOI-level coding :).

New Preprint - OSCE Transcript-Based Grading with LLMs -> arxiv.org/abs/2410.12858 Congrats Ameer!

Our NEJM AI publication is here! Just in time for Thanksgiving! ai.nejm.org/stoken/default…

Rubrics to Prompts: Assessing Medical Student Post-Encounter Notes with AI | NEJM AI ai.nejm.org/doi/full/10.10…

Medical Education coming into the 21st Century with AI assistance UT Southwestern Medical Center NEJM AI ai.nejm.org/doi/full/10.10… Scale up that is not limited by small and limited pool of educators. Global medED implications.

Case Study: Rubrics to Prompts: Assessing Medical Student Post-Encounter Notes with AI nejm.ai/49gyS8i Case Study: Cognitive Biases and Artificial Intelligence nejm.ai/3VhMlXw

We present our exploration into using the Articulate Medical Intelligence Explorer (AMIE) for sub-specialist medicine applications, including complex cardiomyopathies and breast cancer, and a new partnership for safe, prospective real-world validation goo.gle/3VzJMAf

We’re excited to share new research on Project AMIE (Articulate Medical Intelligence Explorer), our conversational medical AI! 💬 We're exploring its potential to assist clinicians in primary & specialty care. 🔗 goo.gle/3VNOdYa

Day 12: Early evals for OpenAI o3 (yes, we skipped a number) openai.com/12-days/?day=12

Today OpenAI announced o3, its next-gen reasoning model. We've worked with OpenAI to test it on ARC-AGI, and we believe it represents a significant breakthrough in getting AI to adapt to novel tasks. It scores 75.7% on the semi-private eval in low-compute mode (for $20 per task

This case study describes the first successful prospective deployment of a generative artificial intelligence (AI)–based automated grading system for medical student post-encounter OSCE notes Read more: ai.nejm.org/doi/full/10.10… #HealthcareSimulation #ClinicalSimulation

The pilot deployment of an AI-based automated grading system for medical student post-encounter learner notes using established rubrics achieved 90% agreement with expert human assessors while accelerating turnaround time and reducing manual effort. nejm.ai/49gyS8i

Very impressive performance -- especially with the fine-tuned Llama 2 7b (which could run locally at ANY medical center with an off-the-shelf GPU). I have to imagine this will be standard for all evals in a few years.

Great to see our wonderful collab between UTSWSimCenter and Lyda Hill Department of Bioinformatics at UT Southwestern Medical Center getting some attention! Special thanks to BioHPC at UT Southwestern for local compute and Microsoft Azure for OpenAI compute credits! x.com/NEJM_AI/status…

Case Study by A. R. Jamieson et al.: Rubrics to Prompts: Assessing Medical Student Post-Encounter Notes with AI nejm.ai/49gyS8i #MedEd

La #IA reduce un 91% el esfuerzo humano para corregir una ECOE. Y preparan análisis de audio y video por #IA para mejorar la calidad de la evaluación, enriquecer la comprensión del proceso educativo y ahorrar tiempo y esfuerzo en la revisión manual. ai.nejm.org/doi/10.1056/AI…

We are excited to share our latest results on AMIE, Google AI Google DeepMind conversational medical AI. TL;DR – in a blinded OSCE, AMIE was equivalent or better at not only diagnosis – but also at making management decisions. This is a big deal! 🧵⬇️ x.com/alan_karthi/st…

Congratulations to our one of a kind #AI #kidneycancer KidneyCancerProgram UTSW Computational Biology team with David Hein, Alana Christie, Bing Xie,Joseph Vento, MD, MS Andrew Jamieson Payal Kapur on npj Digital Medicine #LLM paper rdcu.be/enlxw