MD, PhD (MBBS, DPhil) | Cardiology 🫀 + Genetics 🧬 + ML @Stanford | Aussie 🇦🇺

Stanford, CA
Excited to share our latest paper: "Towards the Democratization of Subspecialty Medical Expertise." Rare heart disease illustrates a common challenge in healthcare: the scarcity of subspecialist expertise. 📜Paper: arxiv.org/abs/2410.03741 💥Podcast: drive.google.com/file/d/1a6_…
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Jack O'Sullivan retweeted
Since joining @GoogleDeepMind I’ve dreamt for a decade that AI can give clinicians superpowers: amplifying reach as an always-available, trustworthy member of the care team. Delighted to share our strategic research initiative at @GoogleDeepMind towards this vision: AI co-clinician deepmind.google/blog/ai-co-c… (1/n)
AI co-clinician is our new research initiative to help explore how multimodal agents could better support healthcare workers and patients. 🩺 Here’s a snapshot of our progress 🧵
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(1/10) Excited to share our new paper: "Towards Conversational Medical AI with Eyes, Ears and a Voice" arxiv.org/abs/2605.09272 Clinical medicine depends on more than words; it relies on real-time visual cues (rashes, distress, gait), auditory signals (prosody, breathing), and guided physical exams (e.g., guiding someone through correcting their inhaler technique, or walking them through shoulder maneuvers to work up a rotator cuff injury). But existing conversational medical AI systems are blind and deaf to this crucial information and are constrained to rigid, turn-by-turn user experience. As an important ingredient in AI co-clinician, our new healthcare initiative at @GoogleDeepMind, we developed a first-of-its-kind real-time multimodal system that conducts natural clinical consultations over video calls while continuously watching, listening, and reasoning. The preprint details the research progress we’ve made so far together with our collaborators at @StanfordMed and @harvardmed (@AdamRodmanMD @euanashley @DrJackOSullivan @jasongusdorf). More details below!
Since joining @GoogleDeepMind I’ve dreamt for a decade that AI can give clinicians superpowers: amplifying reach as an always-available, trustworthy member of the care team. Delighted to share our strategic research initiative at @GoogleDeepMind towards this vision: AI co-clinician deepmind.google/blog/ai-co-c… (1/n)
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Jack O'Sullivan retweeted
Excited to release two new AI papers. First, we report what we believe to be the first truly multi-modal visual language model for cardiology. Second, we report surprising findings related to how visual language models reason. arxiv.org/abs/2603.22179 arxiv.org/abs/2603.21687
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A couple of months ago we shared our RCT showing LLMs can help manage complex cardiac patients by generating diagnosis and management plans from text: nature.com/articles/s41591-0…
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We found that all frontier vision-language models including GPT-5, Gemini 3 Pro, and Claude Opus 4.5 generate detailed image descriptions, elaborate reasoning traces, and even clinical diagnoses for images that were never provided. We call this phenomenon "mirage reasoning."
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Jack O'Sullivan retweeted
1/10 We’re excited to announce the publication of our work with @StanfordMed, examining the premature deaths that would be saved if PRS-guided screening was introduced across seven common disease screening programs nature.com/articles/s41467-0…
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Replying to @DrJackOSullivan
Jack is going to get the fastest time this year!! Who will give him some competition?
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Please join me and the entire SCICD team at the fantastic My Heart Counts Race. I have a team - join me 🏃🏃‍♂️🏃‍♀️💨 Team: classy.org/team/633506
It's that time of year again! The Stanford Center for Inherited Cardiovascular Disease is raising funds for families with genetic heart disease with our annual fun run. I'll be there and I hope you will too! Sign up or donate here: classy.org/event/my-heart-co…
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....USPTF recommends screening at 40, people at high PRS (OR>2) reach this same risk level 6 years earlier 🧐. See results for abdominal aortic aneurysm (AAA), Breast cancer (BC), colorectal cancer (CRC), hypertension (HT) and prostate cancer (PC) below.
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Collectively across these 7 diseases: Very high-risk individuals (OR>3) reach thhe same risk 10.8 years earlier. High-risk individuals (OR>2) 8.9 years earlier Reduced-risk individuals (OR<0.5) 16.8 years later Perhaps time to rethink “one-size-fits-all” screening.
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