🧵1/n Can #AI identify structural heart diseases from an #ECG photo? 📸 In JACC Journals #JACC, we present PRESENT-SHD, an ensemble deep learning model for automated SHD screening & risk stratification, validated in clinical & community-based cohorts. CarDS Lab Rohan Khera⬇️

Honored to receive Honorable Mention at #SIIM25 for our work on de-identifying medical reports on edge devices using SLMs 🏆 Congrats to Theo Dapamede for winning Best Paper with his CV risk prediction from mammograms! 👏 Grateful to my mentors Brad Erickson and Judy Gichoya 🙏🏻

I am honored for this great opportunity and award and gratefull to #SIIM and my mentors Judy Gichoya and Hari Trivedi and colleagues who have supported me along the way

🧠💓 Deep learning meets congenital heart disease. This AI-ECG model predicted future LV dysfunction months before echo. You need to see this. #AIinMedicine #Cardiology #MedEd Josh Mayourian #CardioTwitter #CardioTech #ACHD #CHD #EchoFirst #HeartFailure2025 #HeartHealth

Excited to share that I’ve been selected to receive a Travel Award from the International Parkinson and Movement Disorder Society to attend the MDS congress 2025 from October 5-9! 🧠🌴 Grateful to my incredible mentor and my amazing colleagues m.yale.edu/c6vp

Honored and humbled to receive the "House Staff Intern of the Year" Award from Griffin Hospital. Though my time there was brief, I was blessed with knowing incredible mentors, forming dear friendships, and creating memories I’ll always cherish. Grateful beyond words!

Thank you Victoria Chernyak, MD MS FSAR FESGAR FACR for selecting me to join the Radiology in Training (#RIT) editorial board at Radiology! I am excited to learn from esteemed mentors and contribute to the advancement of radiological sciences!

I'm immensely grateful to our Editorial Board, reviewers, authors, and readers for making Radiology: Artificial Intelligence a success! 🌟Many thanks to the superb RSNA staff -- and a special shout-out to our Deputy Editors: Mariam Aboian William Hsu Jayashree Kalpathy Despina Kontos Ronnie Sebro 🌟

Best of luck Juliano! Cleveland Clinic Kidney Medicine is lucky to have you!

Closing an incredible chapter as my intern year at Boston Medical Center - Brighton comes to an end. From looong ICU calls to celebrating wins, this amazing crew made every challenge worth it. Excited for radiology, but will deeply miss these bonds we’ve built. Once family, always family 💙

Microsoft claims their new AI framework diagnoses 4x better than doctors. I'm a medical doctor and I actually read the paper. Here's my perspective on why this is both impressive AND misleading ... 🧵

Truly honored and humbled to receive the 2025 RSNA Honored Educator Award! RSNA has always been an ocean of learning opportunities for me and a place to be inspired by great mentors. It’s a privilege to give back even a single drop. Thank you for this meaningful recognition!

🚨 Introducing ECGFounder, a foundation model trained on over 10 million annotated ECGs, achieving expert-level performance across 150 diagnoses. Validated across diverse datasets, it generalizes well, even with single-lead inputs. NEJM AI Link: ai.nejm.org/doi/abs/10.105…

Today was an exciting day for Yale Radiology as we welcomed our incoming class of R1 residents!! 🎉 We’re so happy you’re here!! The future of YDR is looking bright! ✨

🔴 Avoid common AI deployment mistakes. Use structured evaluation to ensure smarter AI adoption. A radiology AI evaluation framework requires radiology-specific considerations (e.g., performance of findings detection, integration of multiple systems). Emory University Radiology

Another R1 Welcome Party in the books for YDR! 🎉☀️🍔 Thanks to so many residents from our R1-R4 classes for coming out to celebrate a great first week of academic year! 🙌🏼

🚨 The CarDS Lab at Yale is recruiting postdocs in our clinician–data scientist track! 🔹 MD or MD/PhD 🔹 Python/R skills 🔹 Research experience 🔹 Passion for AI + digital health 📝 Apply early: CV + 250-word statement 🔗 apply.cards-lab.org/apply/CATSP004 #AI #Cardiology #Postdoc

🧵1/ New in @Radiology_RSNA: Can quantitative #ultrasound replace biopsy in diagnosing #MASLD and #MASH? A large international, prospective study (n=114) explores the role of quantitative #US metrics. Rad In Training Editor Victoria Chernyak, MD MS FSAR FESGAR FACR @RadiologyEditor pubs.rsna.org/doi/10.1148/ra…

🧵 1/n We know #AI_ECG can detect HCM from ECG voltage signals. But raw signals aren't always accessible, limiting the use at the point-of-care. 🆕in Nature Cardiovascular Research, we ask: Can #AI detect #HCM directly from #ECG images? Across sites and ECG layouts? Rohan Khera CarDS Lab

The journal welcomes Dr. John Mayfield as Deputy Editor pubs.rsna.org/page/ai/blog/i… John Mayfield, M.D., Ph.D., M.Sc. Radiology: Artificial Intelligence MGHNeuroRadFellows #AI #QML #QuantumML