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Arjun (Raj) Manrai
@arjunmanrai
Assistant Professor of Biomedical Informatics, Harvard Medical School @HarvardDBMI | Founding Deputy Editor, @NEJM_AI | Co-host, NEJM AI Grand Rounds
Boston, MA
Joined July 2014
Posts
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    🧵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
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    Introducing our new course at Harvard, BMI 704: Data Science for Medical Decision Making. If you're interested in data science and machine learning applied to medicine, have a look below. Guest lectures by @VPrasadMDMPH, @MauSantillana! Data and readings: github.com/manrai/BMI704_…
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    🧵1/ I’m beyond proud of my student @JamesADiao who today became the 22nd student in the >200-year history of Harvard Medical School to receive his MD Summa Cum Laude. No better way to celebrate this by noting the uncanny similarities between James Diao and … Taylor Swift.
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    In 2020, @JamesADiao and I began studying race adjustment in lung-function equations. With amazing coauthors, today we published the past years of work in @NEJM, estimating the many clinical, financial, and occupational implications. #ATS2024 Full paper: nejm.org/doi/full/10.10…
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    In our new preprint, we evaluated GPT-4V on 934 challenging @NEJM medical image cases and 69 clinicopathological conferences. GPT-4V outperformed human respondents overall and across difficulty levels, skin tones, and image types except radiology, where it matched humans. GPT-4V
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    Billions of lab tests are performed in the U.S. each year, and most are not stratified by demographic variables (e.g. race, sex, age). Should they be? John Ioannidis, @chiragjp, and I explore some of the thorny challenges in our new @JAMA_current piece: jamanetwork.com/journals/jama/…
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    I couldn't be more excited to help launch @NEJM_AI as a Deputy Editor and to be working with @zakkohane, @AndrewLBeam, and the entire team
    Coming soon: NEJM AI, a new journal from NEJM Group. NEJM AI aims to identify and evaluate state-of-the-art applications of artificial intelligence to clinical medicine. Learn more about the new journal: ai.nejm.org
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    Excited to share our new analysis in @NatureGenet led by brilliant colleagues @chiragjp and @cmlakhan of @HarvardDBMI: Repurposing large health insurance claims data to estimate genetic and environmental contributions in 560 phenotypes: nature.com/articles/s4158…
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    Will new genomics and machine learning applications in medicine yield useful biomarkers or expensive "biomarkup"? Excited to share my new article with @mandl in @JAMA_Current: jamanetwork.com/journals/jama/…
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    Excited to announce that I’ve joined the core faculty of @HarvardDBMI and that my lab has moved to @HarvardDBMI @HarvardMed. I’m thrilled to return to where I trained with @zakkohane & to join colleagues transforming medicine w/ computation. We’re hiring!
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    (Thread) The paper by Evangelia et al. in @JClinEpi on 'logistic regression = machine learning' for medicine has generated many reactions. This paper may be misinterpreted by #MachineLearning cynics and enthusiasts alike (sciencedirect.com/science/articl…). Some thoughts below👇 1/n
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    What comes through in the @NatureMedicine article by @EricTopol is that one of the biggest contributions of #ArtificialIntelligence to medicine is highlighting how often physicians disagree with one another. A few examples from the article below. nature.com/articles/s4159…
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    Whose values shape the diagnosis & treatment recs. of LLMs & other AI models in medicine? Thrilled to share our new review in @NEJM on this topic. We compare AI models with trad. clinical risk eqns. and revisit medical decision analysis for guidance. nejm.org/doi/full/10.10…
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    Excited to announce a new version of our course at Harvard, BMI704: Data Science for Medical Decision Making, and to be teaching with @chiragjp. We'll release lectures, data, and an interactive text of data science methods at link below. Sched + Readings: github.com/manrai/BMI704_…