Rahul Aggarwal (@RahulAggarwalMD) profile picture

Rahul Aggarwal

@RahulAggarwalMD

Cardiology Fellow @HarvardMed @BrighamWomens | Clinical Trials, Health Innovation, AI | Thankful for Friends & Family

 Harvard Medical School
connects.catalyst.harvard.edu/Profiles/display/Person/183651
Joined October 2018
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Photo by Rahul Aggarwal (@RahulAggarwalMD)Photo by Rahul Aggarwal (@RahulAggarwalMD)Photo by Rahul Aggarwal (@RahulAggarwalMD)Photo by Rahul Aggarwal (@RahulAggarwalMD)Photo by Rahul Aggarwal (@RahulAggarwalMD)Photo by Rahul Aggarwal (@RahulAggarwalMD)Photo by Rahul Aggarwal (@RahulAggarwalMD)Photo by Rahul Aggarwal (@RahulAggarwalMD)
1/ Our NEW @CircAHA study, simultaneously published with #ESCCongress 🚨 We develop and validate the NEW #DOAC Score ➡️ A bleeding risk score for patients with #afib on DOACs ✅ We find our DOAC Score outperforms prior risk scores, including the HAS-BLED tinyurl.com/3fzr65jy – at Amsterdam, The Netherlands
https://tinyurl.com/3fzr65jy

ALT https://tinyurl.com/3fzr65jy

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Excited to share our @CircHF editorial on a REHAB-HF study answering: "Who benefits most from HF rehab?" @DrDamluji @robmentz found Pts. who were the most inflamed by hsCRP gained the most from rehab Thanks to @ambarish4786 @DrNancySweitzer for the opportunity to contribute!
Image from Leonard Chiu, MD MS (@LeonardChiuMD)
Image from Leonard Chiu, MD MS (@LeonardChiuMD)
Image from Leonard Chiu, MD MS (@LeonardChiuMD)
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2+ years ago, @vivnat and I asked a simple question with our amazing team @GoogleDeepMind @GoogleResearch: what would it take for conversational diagnostic AI to safely enter into a real medical clinic? That sparked many London<>Boston flights over the pond, enduring friendship and collaboration with @AdamRodmanMD @BIDMChealth and our amazing teammates, rigorous safe-stopping protocols, and our first prospective study now in @TheLancet: goo.gle/4i7Fx9N
Image from Alan Karthikesalingam (@alan_karthi)
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Adam Rodman (@AdamRodmanMD) profile picture
Adam Rodman@AdamRodmanMDOct 9
Our clinical trial of AMIE, a patient-facing AI system, was just published in The Lancet. I want to explain what *I* think this study ACTUALLY means. It's about a fundamental question: how do we know that clinical AI works? 🧵⬇️ teapaw.org/Google/status/21083245…
Google (@Google) profile pictureGoogle
@GoogleOct 8
Our medical research system, AMIE, is the first patient-facing conversational diagnostic tool of its kind to be studied prospectively in a real-world clinical setting. In a study, published today in @TheLancet, we found that when patients chatted with AMIE before an in-person appointment, the interaction built their confidence and helped them organize their thoughts. And physicians who reviewed the information from the patient conversation got more time back to focus on collaborative care and shared decision-making instead of digging through data.
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“How do we judge success after a HTN intervention?” Our @JACCJournals editorial on the China Rural HTN Project details what we learn from this study 🔑 lessons for scaling implementation in rural US Thanks @AmbarishPandey @hmkyale for the opportunity! doi.org/10.1016/j.jacc.2026.…
Image from Leonard Chiu, MD MS (@LeonardChiuMD)
Image from Leonard Chiu, MD MS (@LeonardChiuMD)
Image from Leonard Chiu, MD MS (@LeonardChiuMD)
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Our editorial in @JCFINT on HF STATS 2026: HF STATS highlights how uneven HF progress remains. @rkwadhera and I discuss how Medicaid expansion, the IRA, rural financing, and new care models—including AI-supported titration—could narrow these gaps. 🔗sciencedirect.com/science/ar…
Image from Nicholas Chiu, MD MPH (@NicholasChiuMD)
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Rishi Wadhera, MD MPP (@rkwadhera) profile picture
Rishi Wadhera, MD MPP
@rkwadheraSep 30
Excited for the launch of the Smith Institute for Evidence, Innovation, and Policy—tackling health care’s biggest questions and turning evidence into better care and healthier lives Honored to serve as Director of the Institute & lead this next chapter with @rwyeh @BIDMChealth Read more: bidmc.org/news-stories/all-n…
BIDMC Announces the Richard A. and Susan F. Smith Institute for Evidence, Innovation, and Policy |...

BIDMC Announces the Richard A. and Susan F. Smith Institute for Evidence, Innovation, and Policy |...

BIDMC launches the Richard A. and Susan F. Smith Institute to advance health care research, innovation, policy, AI, and investigator training.

bidmc.org
BIDMC Smith Institute (@SmithBIDMC) profile pictureBIDMC Smith Institute@SmithBIDMCSep 30
After a decade of growth, we’re now the Richard A. and Susan F. Smith Institute for Evidence, Innovation, and Policy. The Institute's centers will bring together bold ideas, rigorous science, and clinical expertise to improve people’s health and lives. bidmc.org/news-stories/all-n…
Image from BIDMC Smith Institute (@SmithBIDMC)
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Excited to share our NEW paper @JACCJournals #JACCHF on inflammatory risk in HF In Look AHEAD, we find IL-6 identified risk of HF in T2D & obesity Lifestyle w/ weight loss ⬇️ IL-6 doi.org/10.1016/j.jchf.2026.… 🙏 to team @kershawpatel @JavedButler1 @CBallantyneMD @ambarish4786
Image from Leonard Chiu, MD MS (@LeonardChiuMD)
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Grateful to work w/ Peter Libby & team on our new @JAMACardio paper: how do we actually run CV outcomes trials in Clonal Hematopoiesis? Genetic heterogeneity, clone size, recruitment, competing risks, and statistical power all complicate trial design. 🔗jamanetwork.com/journals/jam…
Image from Nicholas Chiu, MD MPH (@NicholasChiuMD)
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Isaac Kohane (@zakkohane) profile picture
Isaac Kohane
@zakkohaneSep 8
Low positive predictive value for AI dermatological detection of malignant skin lesions. academic.oup.com/skinhd/arti…
Real-world diagnostic performance of artificial intelligence in skin cancer screening

Real-world diagnostic performance of artificial intelligence in skin cancer screening

We sought to investigate the diagnostic performance at the histopathological level of a newly deployed artificial intelligence (AI) algorithm used in the s

academic.oup.com
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Excited to share our @JACCJournals Viewpoint on CMS ACCESS & the future of CKM care 🫀 💡ACCESS is the 1st payment model aligned w/ the @American_Heart CKM framework & may reshape how care is reimbursed. Also this issue: CKM analysis by @Gong2Jingyi 🔗jacc.org/doi/10.1016/j.jacc.…
Image from Nicholas Chiu, MD MPH (@NicholasChiuMD)
Image from Nicholas Chiu, MD MPH (@NicholasChiuMD)
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🚨 Our new publication in @JAHA_AHA: 🌾What are tradeoffs of Medicare Advantage in rural America? Using data from 16.4 million rural beneficiaries with CV conditions, we found: ✅ Better preventive care access 💸 More problems paying medical bills 📄 doi.org/10.1161/JAHA.125.050…
Image from Nicholas Chiu, MD MPH (@NicholasChiuMD)
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Proud to be part of this work in @JACCJournals led by @Gong2Jingyi examining treatment and control of cardiometabolic risk factors among U.S. adults with cardiovascular-kidney-metabolic (CKM) syndrome. Thank you to @rkwadhera for outstanding mentorship as always!
Rishi Wadhera, MD MPP (@rkwadhera) profile pictureRishi Wadhera, MD MPP
@rkwadheraJun 30
Our new @JACCJournals study shows that even in a higher-risk population - adults with CKM syndrome - roughly half are going untreated for major risk factors Even among those who are treated, control is elusive. Led by @Gong2Jingyi jacc.org/doi/10.1016/j.jacc.…
Image from Rishi Wadhera, MD MPP (@rkwadhera)
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Adam Rodman (@AdamRodmanMD) profile picture
Adam Rodman@AdamRodmanMDJun 14
There has ALREADY been a lot written about NYU @openevidence @UpToDate Expert AI study but wanted to give my perspective as what counts for an "expert" in human-computer interaction these days. Especially when I see Twitter debates about item response theory. 🤣 A 🧵⬇️
Eric Topol (@EricTopol) profile pictureEric Topol
@EricTopolJun 12
For medical information, general AI frontier models (Google, OpenAI, Anthropic) outperformed specialized @openevidence and @UpToDate as assessed by 12 US clinicians, randomized and blinded to which model and extensive testing/benchmarks. This was not anticipated. @NatureMedicine nature.com/articles/s41591-0…
Image from Eric Topol (@EricTopol)
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Rahul Aggarwal retweeted
Circulation (@CircAHA) profile picture
Circulation@CircAHAJun 9
#ResearchLetter: Locally deployed LLMs accurately adjudicate heart failure hospitalizations at cardiologist-level accuracy, as an approach to reduce cardiovascular trial costs. ahajrnls.org/4vEq8mk
Performance of Local Large Language Models for Adjudicating Heart Failure Hospitalizations |...

Performance of Local Large Language Models for Adjudicating Heart Failure Hospitalizations |...

ahajournals.org
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Can AI transform clinical trials? Published in @CircAHA, our team tested whether locally deployed, open-source LLMs could adjudicate heart failure hospitalizations. The result: 96.8% accuracy ahajournals.org/doi/full/10.…
Image from Rahul Aggarwal (@RahulAggarwalMD)
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Importantly: The model’s agreement with cardiologists was similar to the agreement between two board-certified cardiologists. No cloud API. No external data transfer. No patient data leaving the hospital’s servers.
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Endpoint adjudication involves significant cost, complexity, and delay. Local AI could help make trials faster, cheaper, and more scalable, while preserving privacy, security, and institutional data governance. Incredible team effort across MIT, Harvard, and Mount Sinai
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Excited to share our new @JACCJournals paper! Among 8.4M US adults with prior MI, we found major secondary prevention gaps : ~1/2 met BP or A1c targets, <1/3 met LDL-C <70, and ~1/6 met LDL-C <55. ⭐team: #PeterLibby @Gong2Jingyi @DLBHATTMD @rkwadhera 🔗lnkd.in/dCtimruV
https://www.jacc.org/doi/10.1016/j.jacc.2026.03.157

ALT https://www.jacc.org/doi/10.1016/j.jacc.2026.03.157

Image from Nicholas Chiu, MD MPH (@NicholasChiuMD)
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Arjun (Raj) Manrai (@arjunmanrai) profile picture
Arjun (Raj) Manrai
@arjunmanraiMay 1
🧵1/ Our new study on AI and physician reasoning just came out in @ScienceMagazine. As co-senior author, I'm excited about our findings, and I do think AI will reshape medicine. But after seeing some of the discussions, I'm also worried about how our findings may be misinterpreted.
Image from Arjun (Raj) Manrai (@arjunmanrai)
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Terrific work by budding stars @nikhilpatelll @ashwin !! Check out our article in AJPC: sciencedirect.com/science/ar… Thankful to @DLBHATTMD and @RahulAggarwalMD for their guidance and @khurramn1 for the opportunity
Image from Pranav Mellacheruvu, MD (@PranavM9)
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