The under-diagnosis of #HFpEF is a clinical problem. This study suggests there's an enhanced issue in Black pts w/ HFpEF, as predictive diagnostic systems may be biased in favor of the comorbidity patterns more prevalent in White pts w/ HFpEF bit.ly/3XAlIO6

Very thankful to Cardiovascular and Metabolic Medicine & Sciences AFP mentors Prof A Shah and Kevin O'Gallagher + 🌟team-mates Jack Wu and Sam Brown working on CogStack analysis Slides from AFP exit seminar - "Heartificial Intelligence: Natural Language Processing Characterises Disparities in Cardiovascular Care"

Can AI help detect and reduce health inequity? 🧵 We used #NLP to depict racial and ethnic disparities in the clinical journeys of patients with aortic stenosis 🏥 Co-led by Jack Wu Sam Brown with Kevin O'Gallagher 🆕@ESCardio bit.ly/41TGXMY just in time for #ACC25 1/9

Great fun to present our work on #CHIP at #BCS2025, and some thought-provoking discussion. Thanks for the invitation British Cardiovascular Society Sam Brown Antonio Cannata'

Honoured to win Best Heart Failure Abstract Oral Presentation at #BCS2025! Grateful to the judges, organisers, and my collaborators. Excited to keep pushing our research forward! #HeartFailure #BCS25 British Cardiovascular Society

Dr. Sam Brown Cardiovascular and Metabolic Medicine & Sciences shares data in 'HFpEF issues' session #ESCCongress #AI phenotyping id's 4 HFpEF phenogroups ❤️‍🩹 Longitudinal modeling depicts early- to end-stage disease 💊 Potentially modifiable 'early' subgroup 🏥 PGs & survival validate in external cohort 📎

Pleasure presenting at #ESCCongress2025 today! Lots of great NLP work coming out from our group over congress to catch.

🚨 Now online European Society of Cardiology Journals AIM-HFpEF is an #AI enabled diagnostic tool for #HFpEF, which out-performs existing clinical scores, and encodes prognostic info Led by Jack Wu Kevin O'Gallagher Cardiovascular and Metabolic Medicine & Sciences #EHJDH 📎 academic.oup.com/ehjdh/advance-…