Top Tweets for #MLHC2026
Equity shouldn’t be a post-processing step.
Emma Pierson takes the #MLHC2026 stage on using machine learning not just to predict outcomes, but to understand disparities, support scientific discovery, and help build more equitable healthcare and public health.
C is for crowded. Poster Session C is in full swing at #MLHC2026, with another packed hallway of new work, new ideas, and conversations spilling well beyond the poster boards.
2016: recurrent neural networks for predicting clinical events.
2026: the first-ever MLHC Test of Time Award. 🏆
A decade later, we’re celebrating Doctor AI and the lasting impact of work by Choi, Bahadori, Schuetz, Stewart, and Sun.
#MLHC2026
Poster session A is officially in full swing at #MLHC2026 🔬👀
Packed aisles, packed boards, and a lot of very good conversations happening in Baltimore.
🧬 Check out the work that our @Schmidt_Center fellows are presenting at #MLHC2026 in Baltimore this week!
@mlforhc @broad_institute @JoshuaPickard_ @sankethvedula
https://t.co/sjccsXopWM
From “can it do this?” to “do we have the evidence?”
@HardyShakerman from @Google at #MLHC2026 on AMIE and building an evidence roadmap for conversational medical AI. 🤖🩺
From “what can LLMs do?” to “okay, but what would you actually do with this patient?” 🩺🤖
Interactive clinical scenarios underway at the #MLHC2026 workshop.
Next up at the #MLHC2026 workshop: Tanveer Mittal from @AnthropicAI on building at the frontier of healthcare with @claudeai. 🤖🩺 Let’s see what the frontier looks like. 👀
Putting LLMs through their clinical paces at the #MLHC2026 workshop 🤖🩺
@dmshanmugam and @DrMadhurNayan are taking us from the promise of medical LLMs to what happens when they meet real clinical scenarios.
Benchmarks are nice. Now let’s make things messy. 👀
We’re underway! The @AmerMedicalAssn is kicking off the #MLHC2026 workshop with the physician perspective on responsible AI adoption in healthcare
@Schmidt_Center @JoshuaPickard_ Digital twins with a job to do. Looking forward to hearing more about EHR-MPC in Baltimore! #MLHC2026
Invited speaker spotlight: Anna Goldenberg will discuss representation learning for healthcare time series, from ICU monitoring to wearable sensor data, self-supervised learning, transferable representations, and dynamic subgroup discovery. #MLHC2026
Paper spotlight: Can limited novice input strengthen clinical AI? At #MLHC2026, our human–AI deferral system improved AUPRC by 20%, precision and sensitivity by 40% over the AI model with only 10% novice involvement. Work by: @kbatmang @Shyam_Vis
Invited speaker spotlight: @HardyShakerman, @GoogleResearch, will discuss AMIE and an evidence roadmap for conversational medical AI, from simulated patient settings to prospective studies and future randomized trials. #MLHC2026
Paper spotlight: Explainable EHR transformers at #MLHC2026. BERT-LER combines lab-value encoding with interpretable predictions on structured EHRs—validated on 75M patient records, competitive performance on EHRShot benchmark & real-world asthma progression study.
Spotlight paper: Health agents need memory, but memory without clinical validation is unsafe. At #MLHC2026, we present an architecture that continuously reconciles patient statements against FHIR clinical records, catching 84.4% of discrepancies. From @verilyhealth
@MeeraKrishnamo1 We’re censoring our excitement until next week 😎 Looking forward to this one, Meera! #MLHC2026
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