Ramón Puchades (@ramonetpuchades) 's Twitter Profile
Ramón Puchades

@ramonetpuchades

Medicina Interna.
Coordinador GdT Medicina Digital de @Sociedad_SEMI.
IA & MBE=IABE
Valencia-Santander-Canada-Madrid-
Valencia-Madrid-Valencia

ID: 1699878561409105921

calendar_today07-09-2023 20:14:03

121 Tweet

5 Followers

11 Following

Eric Topol (@erictopol) 's Twitter Profile Photo

A big day for medical A.I. publications! Oncology agent for decision making nature.com/articles/s4301… Forecasting infectious disease nature.com/articles/s4358… Dermatology nature.com/articles/s4159… Predicting stroke nature.com/articles/s4155…

Isaac Kohane (@zakkohane) 's Twitter Profile Photo

US youth only 6-12 months ahead on AI adoption curve. Less than 3 years since public release of ChatGPT and LLM use outpaced all metrics of search rate of adoption at comparable points in 1990s.

Andrew Ng (@andrewyng) 's Twitter Profile Photo

There’s a new breed of GenAI Application Engineers who can build more-powerful applications faster than was possible before, thanks to generative AI. Individuals who can play this role are highly sought-after by businesses, but the job description is still coming into focus. Let

Gordon H. Guyatt (@guyattgh) 's Twitter Profile Photo

You are trying to help someone who is ambivalent between mutually exclusive actions A and B. You think A clearly preferable and say so. This is the best way to drive them toward B. To help: listen, empathize and help clarify relative merits. They will then find their way.

Marinka Zitnik (@marinkazitnik) 's Twitter Profile Photo

📢 One patient, many contexts, yet our AIs are still refreshing outdated prompts We envision context-switching AI will adapt to infinitely many medical contexts, new medical specialties, healthcare roles, diseases, and populations Michelle M. Li (李敏蕊) arxiv.org/abs/2506.10157 ♾

📢 One patient, many contexts, yet our AIs are still refreshing outdated prompts

We envision context-switching AI will adapt to infinitely many medical contexts, new medical specialties, healthcare roles, diseases, and populations <a href="/_michellemli/">Michelle M. Li (李敏蕊)</a> 

arxiv.org/abs/2506.10157

♾
Marinka Zitnik (@marinkazitnik) 's Twitter Profile Photo

Michelle M. Li (李敏蕊) Adam Rodman Ran Balicer Isaac Kohane DBMI at Harvard Med Harvard Medical School Harvard Data Science Initiative Kempner Institute at Harvard University Broad Institute Boston Children's Multimodal context-switching AI must integrate medical images, genomic data, electronic health records, and real-time sensor inputs. Context-switching models decide which data sources are relevant on the fly to enable precise clinical insights Generative context-switching

<a href="/_michellemli/">Michelle M. Li (李敏蕊)</a> <a href="/AdamRodmanMD/">Adam Rodman</a> <a href="/RanBalicer/">Ran Balicer</a> <a href="/zakkohane/">Isaac Kohane</a> <a href="/HarvardDBMI/">DBMI at Harvard Med</a> <a href="/harvardmed/">Harvard Medical School</a> <a href="/harvard_data/">Harvard Data Science Initiative</a> <a href="/KempnerInst/">Kempner Institute at Harvard University</a> <a href="/broadinstitute/">Broad Institute</a> <a href="/BostonChildrens/">Boston Children's</a> Multimodal context-switching
AI must integrate medical images, genomic data, electronic health records, and real-time sensor inputs. Context-switching models decide which data sources are relevant on the fly to enable precise clinical insights

Generative context-switching
Gordon H. Guyatt (@guyattgh) 's Twitter Profile Photo

Brian Haynes, PJ Devereux and I present the rationale behind the third key principle of #EBM: evidence alone never is sufficient for decisions, #patient values and preferences always crucial. Or as this #BMJ article put it, evidence doesn’t make decisions, people do.

Roxana Daneshjou MD/PhD (@roxanadaneshjou) 's Twitter Profile Photo

How do LLMs do when red teamed by an interdisciplinary group of engineers, informations, and healthcare workers? We also built a dataset that can be used to test future LLM iterations. npj Digital Medicine nature.com/articles/s4174…

Gordon H. Guyatt (@guyattgh) 's Twitter Profile Photo

Do technological advances require rigorous testing as with drugs? Or should we continue to give them a pass? Just published study showing increased bile duct injury with #robotic versus #laparoscopic #cholecystectomy the latest evidence we should get more stringent.

Ramón Puchades (@ramonetpuchades) 's Twitter Profile Photo

IA en medicina: pensar antes de usar, revisar antes de aplicar. No es un atajo para la ciencia. No es un oráculo, es una herramienta.

Viz.ai (@viz_ai) 's Twitter Profile Photo

Healthcare AI is rapidly scaling but more tools often mean more complexity. The latest KLAS report shows top health systems simplifying AI to ease IT burden and boost impact. Viz.ai + Microsoft Cloud are making it happen.🔗 viz.ai/blog/how-viz-a… KLAS Report: klasresearch.com/report/healthc…

Healthcare AI is rapidly scaling but more tools often mean more complexity. The latest KLAS report shows top health systems simplifying AI to ease IT burden and boost impact. <a href="/viz_ai/">Viz.ai</a> + <a href="/MSCloud/">Microsoft Cloud</a> are making it happen.🔗 viz.ai/blog/how-viz-a…

KLAS Report: klasresearch.com/report/healthc…
NEJM AI (@nejm_ai) 's Twitter Profile Photo

Volume 2, No. 7 of NEJM AI is now available! Here are the latest articles: Editorial: The Generalist–Specialist Paradox of Medical AI nejm.ai/4nm6054 🔖 Save for later and share with a friend

Volume 2, No. 7 of NEJM AI is now available! Here are the latest articles:

Editorial: The Generalist–Specialist Paradox of Medical AI nejm.ai/4nm6054

🔖 Save for later and share with a friend
Eric Topol (@erictopol) 's Twitter Profile Photo

An enthralling conversation with Adam Kucharski on uncertainty in science and his new book PROOF, with some emphasis on things we learned from Covid, and much more. video, audio, transcript; all open-access erictopol.substack.com/p/adam-kuchars…

An enthralling conversation with <a href="/adamjkucharski/">Adam Kucharski</a>  on uncertainty in science and his new book PROOF, with some emphasis on things we learned from Covid, and much more.
video, audio, transcript; all open-access
erictopol.substack.com/p/adam-kuchars…
Concepcion Campos-Asensio (@bibliogetafe) 's Twitter Profile Photo

Cómo leer artículos sobre #InteligenciaArtificial en medicina Este artículo de ⁦The BMJ⁩ Medicine (2025) propone 10 preguntas clave para evaluar estudios que usan inteligencia artificial en entornos clínicos. Imprescindible. bmjmedicine.bmj.com/content/4/1/e0…

Eric Topol (@erictopol) 's Twitter Profile Photo

"The time has come for us to use what we know about cardiovascular risk and risk estimates to take action at the individual and population levels to promote cardiovascular health across the life span and substantially reduce the burden of cardiovascular disease worldwide." NEJM

"The time has come for us to use what we know about cardiovascular risk and risk estimates to take action at the individual and population levels to promote cardiovascular health across the life span and substantially reduce the burden of cardiovascular disease worldwide." <a href="/NEJM/">NEJM</a>
Isaac Kohane (@zakkohane) 's Twitter Profile Photo

This figure has its analogue in many recent publications: MD + AI < AI. Many reasons have been profferred but have yet to be proven. If, as some say, it is related to training, that should be addressed soon. CC Ethan Mollick

This figure has its analogue in many recent publications: MD + AI &lt; AI. Many reasons have been profferred but have yet to be proven. If, as some say, it is related to training, that should be addressed soon. CC <a href="/emollick/">Ethan Mollick</a>