Wei-Hung Weng
@ckbjimmy
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Research Scientist @GoogleDeepMind, AI for science, MD/PhD, ex @MIT_CSAIL @HarvardDBMI
Joined April 2024
Nice work w/ @Moorfields @UCLeye @GoogleDeepMind @GoogleAI Mertcan Sevgi @FaresAntaki @pearsekeane @alan_karthi @vivnat @taotu831 @apalepu13 @yongcheng16 @HardyShakerman @_khaledsaab @RyutaroTanno @valentinlievin @SaraM66905 and more.
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AMIE can serve as a complimentary tool for ophthalmology. It not only matches specialist performance, but also augments ophthalmologist clinical reasoning, leading to improved accuracy, consensus and planning. [Preprint] https://t.co/T7x7W2cNx1
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Great work @GoogleDeepMind @GoogleResearch w/ @elahevedadi @davidstutz92 @dgtbarrett @alan_karthi @imnatalie_grace @vivnat Ellery Wulczyn @AdamRodmanMD @zhazhir @Romes13 @HardyShakerman @timstro @RyutaroTanno @yasharmaa @AvinatanH48021 Katherine Chou @ymatias @pushmeet et al.
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AMIE now can utilize an asynchronous oversight paradigm, managed by a team of specialized AI agents, guardrailed-AMIE (g-AMIE), to ensuree responsible and scalable human clinician oversight for medical AI. [Preprint] https://t.co/0Ea2PutowP
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Powered by the natively multimodal Gemini and domain-specific inference-time algorithm (without further post-training!), AMIE can now see and interpret visual medical data within a diagnostic conversation [Preprint] https://t.co/yZfpyYRPBI [Blog] https://t.co/Mp0jO5ScYK
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Grateful to team @GoogleAI @GoogleDeepMind with @HardyShakerman @valentinlievin @apalepu13 @alan_karthi @AdamRodmanMD @taotu831 @vivnat @KhaledSaab11 @RyutaroTanno @davidstutz92 @yongcheng16 Kavita Kulkarni @SaraM66905 @joelle_barral @dr2w @AvinatanH48021 @ymatias James Manyika
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AMIE now gains enhanced management reasoning for disease management over time and longitudinal patient care using the Gemini-based dual-agentic system, with the integration of clinical knowledge! [Preprint] https://t.co/12kgweh1aT [Blog]
lnkd.in
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[1/N] I’m excited to share new work on Project AMIE (Articulate Medical Intelligence Explorer), our conversational medical AI! We put our system through a multi-visit OSCE to assess its management reasoning capabilities. Blog: https://t.co/RVkS5bd8NZ Paper:
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Hypothesis generation and testing is a critical capability for AGI imo. Super excited about our AI co-scientist and other AI for Science work which are important steps towards that. We're on the cusp of an incredible new golden age of AI accelerated scientific discovery.
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Great work led by @jrpenades @CostaT_Lab, with our team @GoogleAI @GoogleDeepMind @googlecloud @alan_karthi @vivnat @Mysiak Annalisa Pawlosky Alexander Daryin @taotu831 @apalepu13 Artiom Myaskovsky
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Pioneer researchers @jrpenades @CostaT_Lab (@imperialcollege) described how our AI co-scientist correctly recapitulated their unpublished, experimentally confirmed mechanism of bacterial gene transfer! Details https://t.co/tTdIvQa6YU
biorxiv.org
Some mobile genetic elements spread among unrelated bacterial species through unknown mechanisms. Recently, we discovered that identical capsid-forming phage-inducible chromosomal islands (cf-PICIs),...
The reception to our @GoogleDeepMind @GoogleAI @googlecloud AI co-scientist has been amazing! We are working hard to expand access to the tool for more scientists. 🧫🧬A co-timed pre-print led by pioneer collaborators @imperialcollege, @jrpenades & @CostaT_Lab, describes how the
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Great work with a team across @GoogleAI @GoogleDeepMind @googlecloud, @Mysiak @vivnat @alan_karthi Alexander Daryin Annalisa Pawlosky @taotu831 @ynhnx @_e_d_v_ @OpsBug @apalepu13 @KhaledSaab11 @RyutaroTanno @AvinatanH48021 @pushmeet @ymatias and more.
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Delighted to introduce our collaborative, multi-agentic AI co-scientist to accelerate scientific discovery with scientists. Check out blog post https://t.co/1x9XBW8PLW and preprint https://t.co/eZctOk7I1d for signing up trusted tester program and more details!
Accelerating scientific discoveries and helping cure diseases might be the most profound purpose of AI. Thrilled to introduce our @GoogleAI @GoogleDeepMind @googlecloud AI co-scientist system, which I believe is an important milestone towards this. Blog -
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Pleased to announce the release of the open-source, fully re-labeled MedQA benchmark, to facilitate more accurate model performance estimation. GitHub repository: https://t.co/ZgGHQnYGBS Check David's post for more details!
github.com
For Med-Gemini, we relabeled the MedQA benchmark; this repo includes the annotations and analysis code. - Google-Health/med-gemini-medqa-relabelling
Part of our Med-Gemini work was a full relabelling of MedQA, revealing that at least 7.4% of examples are unfit for evaluation. Today, we open sourced these annotations alongside our evaluation script as a new standard evaluation on MedQA. A thread 🧵: https://t.co/7TE40sWUBU
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Excited to share the work using conformal abstention to abstain LLM hallucinations!
Happy to share our latest work using conformal abstention to improve factuality of LLMs by avoiding hallucinations: https://t.co/i16SZYxLJp A short thread 🧵:
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Excited to share Med-Gemini! https://t.co/E23dNAOgFR Except for remarkable SoTA performance on MedQA and various medical language/image/video tasks, one super exciting potential to highlight is to unlock novel applications via the long-context capability and multimodal dialogue!
Delighted to share ✨Med-Gemini✨ - our new family of multimodal models for medicine unlocking new possibilities for health - https://t.co/oemI52WBou More accurate multimodal conversations about medical images🩻, surgical videos📽️, genomics🧬, ultra-long health records📚, ECGs🫀
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