Arun Umesh Mahtani(@ArunUMahtani) 's Twitter Profileg
Arun Umesh Mahtani

@ArunUMahtani

PGY-3 IM @RUMCSI MSBMI '21 @nyugrossman Incoming PGY-4 Cardiology @VCUHealthHeart
#AI||#ML||#NLP💻#MedEd||#Cardiology||#CardiacImaging🫀🩻||#ARGFellow

ID:1629375569933500416

calendar_today25-02-2023 06:59:57

3,4K Tweets

305 Followers

755 Following

Pranav Rajpurkar(@pranavrajpurkar) 's Twitter Profile Photo

🚨 New Multimodal Generative Medical AI 🚨

Our team just announced MedVersa, a groundbreaking multimodal medical image interpretation model. 🩺🖥️

MedVersa is the first generalist medical AI capable of learning from both visual & linguistic supervision to tackle a wide range of…

🚨 New Multimodal Generative Medical AI 🚨 Our team just announced MedVersa, a groundbreaking multimodal medical image interpretation model. 🩺🖥️ MedVersa is the first generalist medical AI capable of learning from both visual & linguistic supervision to tackle a wide range of…
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Hong-Yu Zhou(@HongYuZhou14) 's Twitter Profile Photo

We announced MedVersa, a generalist AI that excels in multifaceted medical image interpretation! 🚀🩺

👉arxiv.org/abs/2405.07988

MedVersa has two promising features🧐:

1. Learning from vision and language supervision. This maximizes the flexibility of the framework. Imagine…

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WonJin Yoon(@wonjin_info) 's Twitter Profile Photo

1/9 Excited to introduce the LCD Benchmark! A new benchmark dataset for 30-day out-of-hospital mortality prediction (predicting the future!) using long clinical documents. Designed for testing the capabilities of LMs on lengthy documents! medrxiv.org/content/10.110…

1/9 Excited to introduce the LCD Benchmark! A new benchmark dataset for 30-day out-of-hospital mortality prediction (predicting the future!) using long clinical documents. Designed for testing the capabilities of LMs on lengthy documents! medrxiv.org/content/10.110… #ClinicalNLP
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Cyril Zakka, MD(@cyrilzakka) 's Twitter Profile Photo

Super excited to showcase our newest work Almanac Copilot an EHR agent capable of answering questions about your patients and placing orders for you across any modern EHR system.

Background: Nearly 75% of clinicians with burnout symptoms pinpoint EHRs as a source due to poor…

Super excited to showcase our newest work Almanac Copilot an EHR agent capable of answering questions about your patients and placing orders for you across any modern EHR system. Background: Nearly 75% of clinicians with burnout symptoms pinpoint EHRs as a source due to poor…
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Sadeer Al-Kindi, MD(@Sadeer_AlKindi) 's Twitter Profile Photo

🌿🔬 Exciting opportunity for a post-doctoral scientist to join our team at the Center for Health and Nature in Houston! Apply now to conduct cutting-edge research at the intersection of , , and .

🌿🔬 Exciting opportunity for a post-doctoral scientist to join our team at the Center for Health and Nature in Houston! Apply now to conduct cutting-edge research at the intersection of #environment, #health, and #technology.
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npj Digital Medicine(@npjDigitalMed) 's Twitter Profile Photo

Studies of in medicine may overestimate accuracy to new situations by 20%.

Models learn hidden biases in X-rays, ECGs, clinical notes etc. instead of real disease markers. This study proposes a solution for inc. reliability in reporting of results.

nature.com/articles/s4174…

Studies of #AI in medicine may overestimate accuracy to new situations by 20%. Models learn hidden biases in X-rays, ECGs, clinical notes etc. instead of real disease markers. This study proposes a solution for inc. reliability in reporting of results. nature.com/articles/s4174…
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James Zou(@james_y_zou) 's Twitter Profile Photo

How much research is written by ? Nice Stanford HAI article covering our recent works on this topic hai.stanford.edu/news/how-much-…

Thank you Prabha Kannan for the fun conversation!

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Zara A, MD, MSc(@ZahraaziziMD) 's Twitter Profile Photo

Less than a week till ! Heart Rhythm Society Join us on May 19 for 'Harmonizing Heart Health: Exploring the Synchronization of Rhythm Control and Digital Health'

Discover insights on arrhythmia management, antiarrhythmic drugs, digital health, and remote patient monitoring. ⬇️…

Less than a week till #HRS2024! @HRSonline Join us on May 19 for 'Harmonizing Heart Health: Exploring the Synchronization of Rhythm Control and Digital Health' Discover insights on arrhythmia management, antiarrhythmic drugs, digital health, and remote patient monitoring. ⬇️…
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Zara A, MD, MSc(@ZahraaziziMD) 's Twitter Profile Photo

Join us on June 5, 2024, at 1 PM (ET) for a webinar on tackling the reproducibility and generalizability challenges in ! Learn strategies for data accessibility, leakage prevention, preprocessing, algorithm selection, and more to ensure reliable ML outcomes. 📊…

Join us on June 5, 2024, at 1 PM (ET) for a webinar on tackling the reproducibility and generalizability challenges in #MachineLearning ! Learn strategies for data accessibility, leakage prevention, preprocessing, algorithm selection, and more to ensure reliable ML outcomes. 📊…
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UofT Medical Imaging(@UofTMedIm) 's Twitter Profile Photo

The Department is currently recruiting an AI Lead to develop a departmental AI strategic plan and lead research & education initiatives. This position is a 1-year term with potential to renew for a 3-year term. See job description and where to apply here: loom.ly/EiYhsnc

The Department is currently recruiting an AI Lead to develop a departmental AI strategic plan and lead research & education initiatives. This position is a 1-year term with potential to renew for a 3-year term. See job description and where to apply here: loom.ly/EiYhsnc
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Eric Topol(@EricTopol) 's Twitter Profile Photo

A bit of versatility😉
'We introduce MedInterp, the largest multimodal dataset to date for medical image interpretation, consisting of over 13 million annotated instances spanning 11 tasks across 3 modalities'
arxiv.org/abs/2405.07988
Pranav Rajpurkar Julián Nicolás Acosta Hong-Yu Zhou

A bit of #AI versatility😉 'We introduce MedInterp, the largest multimodal dataset to date for medical image interpretation, consisting of over 13 million annotated instances spanning 11 tasks across 3 modalities' arxiv.org/abs/2405.07988 @pranavrajpurkar @jn_acosta @HongYuZhou14
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HeartRhythm(@hrs_journal) 's Twitter Profile Photo

The potential of artificial intelligence to revolutionize health care delivery, research, and education in cardiac electrophysiology
FREE TO ALL!
Heart Rhythm Society
Sana Al-Khatib
heartrhythmjournal.com/pb-assets/heal…

The potential of artificial intelligence to revolutionize health care delivery, research, and education in cardiac electrophysiology FREE TO ALL! @HRSonline @SanaAlkhatib9 heartrhythmjournal.com/pb-assets/heal…
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Shehab Anwer, MD(@ShehabAnwer) 's Twitter Profile Photo

🫀Another worthwhile CardioTalk between Artur Evanglista Masip Artur evangelista masip & Rafael Vidal-Perez rafavidalperez to underscore the role of in the latest EACVI & European Society of Cardiology statement on 'Thoracic Aortic Diseases'! 🎧esc365.escardio.org/event/1636 📚academic.oup.com/ehjcimaging/ar……

🫀Another worthwhile #EACVI CardioTalk between Artur Evanglista Masip @ArturMasip & Rafael Vidal-Perez @rafavidalperez to underscore the role of #CVImaging in the latest EACVI & @escardio statement on 'Thoracic Aortic Diseases'! 🎧esc365.escardio.org/event/1636 📚academic.oup.com/ehjcimaging/ar……
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Journal of Nuclear Cardiology(@JNCjournal) 's Twitter Profile Photo

XTR004: a novel 18F-labeled PET MPI tracer that carries a favorable safety profile with rapid, high, and stable myocardial uptake for imaging. Editorial by Rene Packard David Geffen School of Medicine at UCLA

Read here👉bit.ly/4anzBU7
ASNC Society

XTR004: a novel 18F-labeled PET MPI tracer that carries a favorable safety profile with rapid, high, and stable myocardial uptake for imaging. Editorial by Rene Packard @dgsomucla Read here👉bit.ly/4anzBU7 #CVNuc @MyASNC
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MedAxiom(@MedAxiom) 's Twitter Profile Photo

At Effie Andrikopoulou, MD, MBA, FACC Effie Andrikopoulou, MD MBA FACC considered the potential benefits & challenges of integrating AI into routine cardiology practice.

📖 Get the highlights about the potential of AI applications in modern cardiology practice: hubs.li/Q02wg9R30

At #CVTransforum Effie Andrikopoulou, MD, MBA, FACC @DrA_FACC considered the potential benefits & challenges of integrating AI into routine cardiology practice. 📖 Get the highlights about the potential of AI applications in modern cardiology practice: hubs.li/Q02wg9R30
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npj Digital Medicine(@npjDigitalMed) 's Twitter Profile Photo

New article! Read Shortcut learning in medical AI hinders generalization: method for estimating AI model generalization without external data dlvr.it/T6sSrz in npj Digital Med

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