Ramez Barsoom, MD, MEng

Physician-engineer (#EnMed) | Healthcare innovation & AI | Cardiology @ Cleveland Clinic FL

[Mary Hedges, MD @MaryHedgesMD]

Super excited to share this publication featuring the innovation curriculum embedded in to the Internal Medicine residency at Mayo Clinic Florida ! @aelsab @MayoFL_IMRES @MayoClinic

https://t.co/o3errVJnqY

[Nikita Jhawar, M.D. @NikitaJhawarMD]

The Jhawar algorithm is a novel diagnostic schema that uses advanced intracoronary imaging to cinch the diagnosis of coronary kink - an underrecognized cause of coronary stenosis distinct from CAD, vasospasm, myocardial bridging, FMD, and other mimickers https://t.co/ymRF78yily

[Ramez Barsoom, MD, MEng @ramezbarsoom]

Honored to receive the Innovation Leadership Award. Grateful for the mentors who’ve supported me and for the chance to train in a place that encourages us to build the future of healthcare.

[Dr Amine Korchi @AmineKorchiMD]

Some of the biggest unmet needs in medicine fall through the cracks, because they involve multiple specialties and many stakeholders, and have no single owner.

Opportunistic screening in radiology is a perfect example. Huge potential, yet still overlooked.

[Carlos Vergara MD @CarlosVergaraMD]

Is there a percutaneous option for a thrombosed mechanical valve with a frozen leaflet not responding to lytics and high surgical risk?

Check our new case at @JACCJournals #JACCINT describing an innovative approach lead by Dr @aelsab

https://t.co/GwIqoGvSuz

[Ramez Barsoom, MD, MEng @ramezbarsoom]

@ShoaClarke Thanks for sharing, will have to dig into this a little more. Ive been playing around with synthetic tabular data but it's too early to tell if it'll work. Definitely a challenge trying to create ML models for rare diseases without enough real data to go around.

[Pierre Elias, MD @PierreEliasMD]

Want to know the state of AI & Cardiology? Our #JACC reviews are for you!
https://t.co/stDQG6sRby
Pt 1: The field's most comprehensive primer. Every study you should know about in 1 place
Pt 2: Tackling today's evidence, equity, & regulatory challenges
@EricTopol @mattlungrenMD

[Ramez Barsoom, MD, MEng @ramezbarsoom]

@ajayharyani Agreed. Delineating actionable vs nice-to-know vs low-value data is still a major challenge.

[Berci Meskó, MD, PhD @Berci]

Advancements like this 3D printed "heart on a chip" are crucial for unlocking personalized medicine & in silico clinical trials.

This bioink mimics real heart tissue, allowing researchers to build miniaturized, complex cardiac models.  https://t.co/PIEYE6Le7K

[Shruti @heyshrutimishra]

Google launched free courses on Generative AI.

No textbooks or fees required.

Here are 10 FREE Google courses to master AI within next 12 days: 👇

[Ramez Barsoom, MD, MEng @ramezbarsoom]

B-roll videography is in trouble

[OpenAI @OpenAI]

Introducing Sora, our text-to-video model.

Sora can create videos of up to 60 seconds featuring highly detailed scenes, complex camera motion, and multiple characters with vibrant emotions.

https://t.co/YYpOAcrXQ3

Prompt: “Beautiful, snowy Tokyo city is bustling. The camera moves through the bustling city street, following several people enjoying the beautiful snowy weather and shopping at nearby stalls. Gorgeous sakura petals are flying through the wind along with snowflakes.”

[Ramez Barsoom, MD, MEng @ramezbarsoom]

I didn't think generative AI videos would get this good this fast 👀

[Marques Brownlee @MKBHD]

Every single one of these videos is AI-generated, and if this doesn't concern you at least a little bit, nothing will

The newest model: https://t.co/zkDWU8Be9S

(Remember Will Smith eating spaghetti? I have so many questions)

[Mary Hedges, MD @MaryHedgesMD]

Leading innovation curriculum in medical education @MayoClinic

https://t.co/v6VEPfC940

[Daniel Kraft, MD @daniel_kraft]

Today Google announced #MedLM, a suite of new health-care-specific #AI models designed to help clinicians and researchers carry out complex studies, summarize doctor-patient interactions and more.

https://t.co/ah14Dfbn3V

[Dr. Glaucomflecken @DGlaucomflecken]

So I think I understand internal medicine. You have to figure out how much fluid is in the body, then you argue with people from different specialties about how much fluid is in the body, then you do an echo, then you add or remove fluid, sometimes both, then discharge.

[Eric Topol @EricTopol]

Just published @LancetDigitalH
When #AI was added to radiologists for reading mammograms in >55,000 women
—4% more cancers were detected
—50% less radiologist reading time
—6-55% less false positives
https://t.co/1AUXSg9mDN
@karolinskainst

[Ramez Barsoom, MD, MEng @ramezbarsoom]

@Berci Gotta be careful with the citations. Some of them are nonsensical and/or inaccurate so make sure you still review each one.

[Atul Gupta, MD @AtulGupta_MD]

This is where I want to work in 10 years’ time.

A single room acting as my assistant. Giving us truly superhuman abilities.

#FutureofIGT
@PhilipsHealth

https://t.co/uPpk6xb52F

[Ramez Barsoom, MD, MEng @ramezbarsoom]

@RoxanaDaneshjou My favorite is when folks try to masquerade simple logistic regression models as machine learning algorithms

[Ramez Barsoom, MD, MEng @ramezbarsoom]

@DBelardoMD @MSharifpourMD Flying east: extended release caffeine pills midday for the first couple of days gets rid of jet lag