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Cyril Zakka, MD

@cyrilzakka • 6,701 subscribers

CEO @Almanac_Health. Prev: @Stanford @Huggingface

Shorts

Thrilled to release SmolVLM-2, our newest model, which runs entirely on-device and in realtime, offering a strong foundation for healthcare applications. 🤗🔥 With proper domain-specific training, small models enable offline inference of 2D (ECGs, CXRs) and even 3D modalities (CT, MRI) while remaining HIPAA-compliant by design. 🔒 VLMs have come a long way this year and we're excited to share our SoTA solution.

Thrilled to release SmolVLM-2, our newest model, which runs entirely on-device and in realtime, offering a strong foundation for healthcare applications. 🤗🔥 With proper domain-specific training, small models enable offline inference of 2D (ECGs, CXRs) and even 3D modalities (CT, MRI) while remaining HIPAA-compliant by design. 🔒 VLMs have come a long way this year and we're excited to share our SoTA solution.

46,435 Aufrufe

Christmas came early! 🎅🏻 Today marks the newest release of the HuggingChat 🤗 update with some really exciting capabilities! First up, automatic context injection! 1) Open a file in a supported app, summon HFChat, and it pre-populates the context window. No more copy-pasting

Christmas came early! 🎅🏻 Today marks the newest release of the HuggingChat 🤗 update with some really exciting capabilities! First up, automatic context injection! 1) Open a file in a supported app, summon HFChat, and it pre-populates the context window. No more copy-pasting

23,986 Aufrufe

The newest version of our Almanac preprint is out, and just in time for our demo at the Stanford AIMI Symposium 2023! Almanac is a retrieval-augmented LLM that provides up-to-date and verifiable answers to medical queries. Link: We benchmark our approach on a novel dataset of clinical scenarios (n = 130) evaluated by a panel of 5 board-certified & resident physicians, and demonstrate significant increases in factuality (mean of 18% at p-value < 0.05) across all specialties. More interestingly, because the retrieved data acts as a single source of truth, we find retrieval-based LLMs to be more robust to prompt injection and manipulation! Future work will involve expanding the scope of our dataset to more specialties and multimodal settings. #Medtwitter #MedEd

The newest version of our Almanac preprint is out, and just in time for our demo at the Stanford AIMI Symposium 2023! Almanac is a retrieval-augmented LLM that provides up-to-date and verifiable answers to medical queries. Link: We benchmark our approach on a novel dataset of clinical scenarios (n = 130) evaluated by a panel of 5 board-certified & resident physicians, and demonstrate significant increases in factuality (mean of 18% at p-value < 0.05) across all specialties. More interestingly, because the retrieved data acts as a single source of truth, we find retrieval-based LLMs to be more robust to prompt injection and manipulation! Future work will involve expanding the scope of our dataset to more specialties and multimodal settings. #Medtwitter #MedEd

18,124 Aufrufe

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Excited to release HuggingChat 💬 - a native macOS app that brings powerful open-source language models straight to your desktop - with markdown support, web browsing, code syntax highlighting and much more!

Excited to release HuggingChat 💬 - a native macOS app that brings powerful open-source language models straight to your desktop - with markdown support, web browsing, code syntax highlighting and much more!

Cyril Zakka, MD

289,729 Aufrufe • vor 1 Jahr

There’s been a lot of buzz surrounding multimodal LLMs in medicine. At the Hiesinger Lab we’ve been building Almanac Chat for over 6 months alongside our collaborators and we’re excited to showcase the first preview! • Almanac Chat is the first truly multimodal medical LLM trained across specialties and modalities (i.e. images, text, video and audio) to serve as a generalist clinical copilot. • The entire stack (e.g. server, client, ML pipeline) is developed and hosted locally to guarantee privacy and flexibility at inference time. • We're looking forward to evaluating our model alongside domain experts at Stanford Medicine in Q2 2024. • We have a a lot more exciting things on the way - see if you can spot a few teasers in the video! 👥: We’re looking to scale our team, model, and hardware. If you're interested in a partnership or working alongside myself and our recent hire Joseph Cho please get in touch!

There’s been a lot of buzz surrounding multimodal LLMs in medicine. At the Hiesinger Lab we’ve been building Almanac Chat for over 6 months alongside our collaborators and we’re excited to showcase the first preview! • Almanac Chat is the first truly multimodal medical LLM trained across specialties and modalities (i.e. images, text, video and audio) to serve as a generalist clinical copilot. • The entire stack (e.g. server, client, ML pipeline) is developed and hosted locally to guarantee privacy and flexibility at inference time. • We're looking forward to evaluating our model alongside domain experts at Stanford Medicine in Q2 2024. • We have a a lot more exciting things on the way - see if you can spot a few teasers in the video! 👥: We’re looking to scale our team, model, and hardware. If you're interested in a partnership or working alongside myself and our recent hire Joseph Cho please get in touch!

Cyril Zakka, MD

85,884 Aufrufe • vor 2 Jahren

Super excited to introduce SAM2 Studio! 🚀🤖 I've been getting a lot of questions lately on supporting AI inference tailored for patient data and sensitive workflows. We optimized SAM2 to run completely on-device in real time for all of your medical segmentation workflows - including surgical video segmentation, radiographs, pathology slides and more!

Super excited to introduce SAM2 Studio! 🚀🤖 I've been getting a lot of questions lately on supporting AI inference tailored for patient data and sensitive workflows. We optimized SAM2 to run completely on-device in real time for all of your medical segmentation workflows - including surgical video segmentation, radiographs, pathology slides and more!

Cyril Zakka, MD

19,805 Aufrufe • vor 1 Jahr

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