Ahmed Alaa
@_ahmedmalaa
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Assistant Professor @UCBerkeley + @UCSF, @berkeley_ai Prev @broadinstitute, @MIT, @UCLA, @Cambridge_Uni, @UniofOxford. Machine Learning & AI for Healthcare.
Berkeley, CA
Joined February 2011
One-liner summaries are central to emergency care, but generating them is cognitively demanding/time-pressured. We evaluated LLMs for automated one-liner generation & compared them head-to-head w/ physician summaries. New work w/ @MelMolinaMD, led by @nbgolchini @nikita_mehandru!
We show LLMs perform better than physicians in summarizing patient clinical information from the EHR as one-liners. One-liners are essential in emergency medicine, where providers make high-stakes decisions with limited information. @_ahmedmalaa @nikita_mehandru @nbgolchini.
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RT @zakkohane: One-liners summarizing a patient's clinical state are essential in the emergency department. Not surprising that LLM's/GenAI….
medrxiv.org
High-quality one-liner summaries are essential in the emergency department (ED) to support rapid decision-making, but generating them is cognitively demanding and adds to documentation burden; large...
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Medical disclaimers in AI outputs are quietly fading, but they matter for safety and trust! Our recent study on this topic is featured in a new MIT @techreview piece.
AI companies have stopped warning you that their chatbots aren’t doctors
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If you are at #ICML2025, don't miss our talks/posters! . - Medical LLM Benchmarking (Position Paper): Oral - July 16, 3:30 PM + Poster - July 16, 4:30 PM by @tom_hartvigsen . - Venn-Abers Calibration + Conformal Prediction: Poster on July 16, 4:30 PM by @LarsvanderLaan3
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How has medical disclaimer messaging changed in generative AI models over the past few years? New work with Sonali Sharma and @RoxanaDaneshjou!
Brilliant student Sonali Sharma came to me with a question. If patients are using AI to answer their medical questions, are they being adequately warned by AI systems that it cannot provide medical advice? What we found surprised us!.
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New paper out in @NatureComms led by @cmuptx 's team!. We study how generative AI models can enable accurate medical image segmentation even with limited labeled data.
🚀 Excited to share that our work GenSeg has been published in Nature Communications!. GenSeg is an end-to-end, downstream-task-guided framework for generating synthetic training data for medical image segmentation. It significantly reduces the need for manual annotations — by a
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RT @irenetrampoline: Looking for an emergency reviewer for NeurIPS paper for a fairness paper, due in a week. Email or DM me! Ideally you’v….
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RT @jessicadai_: individual reporting for post-deployment evals — a little manifesto (& new preprints!). tldr: end users have unique insigh….
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RT @irenetrampoline: What more could we understand about the fractal, “jagged” edges of AI system deployments if we had better ways to list….
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Honored to receive a Google Research Scholar Award. Thanks @GoogleResearch for supporting our work!.
Congratulations to CPH's @_ahmedmalaa, receiving @googleresearch Scholar award for groundbreaking work on use of AI and high-throughput proteomics to predict treatment impact for populations often excluded from clinical trials. @BerkeleyDataSci @UCSF_BCHSI
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RT @akshatgupta57: Just did a major revision to our paper on Lifelong Knowledge Editing!🔍. Key takeaway (+ our new title) - "Lifelong Knowl….
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RT @ml_angelopoulos: Super exciting. Come join us to work on reliable AI and community evaluations!. There's a lot of exciting research to….
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Our Rising Stars series is back with @paula_gradu sharing a control-theoretic perspective on medication tapering problems!. Link:
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RT @JessicaHullman: 📢If you're interested in conformal prediction, algorithms w/predictions, robust stats & connections between them from a….
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Great to see our work with @DrMayaPetersen, @emrek, @cholmesuk and @mark_vdlaan featured by @MSFTResearch!.
Discover how Microsoft Research is leveraging AI to transform research processes, accelerate innovation, and drive growth. Learn more about the strategies and tools empowering researchers here:
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RT @LarsvanderLaan3: Excited to share that our paper on uncertainty-aware model calibration using generalized Venn–Abers methods was accept….
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We have two papers accepted at #ICML2025! An oral on construct validity of medical LLM benchmarks and a poster on generalized Venn-Abers calibration. See you in Vancouver 🇨🇦!
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RT @AdamRodmanMD: Our multimodal AMIE study is out! . This is another exciting step for conversational medical AI – many congrats to the AM….
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This is joint work with amazing co-authors @tom_hartvigsen, Niloufar Golchini, Shiladitya Dutta, Frances Dean, @rajiinio and Travis Zack. Read our full paper here:
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