1. 22 Sep 2026

    Artificial Intelligence in Cardiovascular Science and Publishing | Circulation

    Generative AI further expands the scope of evaluation. Unlike predictive models, generative systems produce open-ended content that can influence ...

    www.ahajournals.org ↗
  2. 22 Sep 2026

    Artificial Intelligence in Cardiovascular Science and Publishing | Circulation

    Artificial intelligence (AI) refers broadly to computational systems that learn from or generate information to support discovery, decision-making ...

    www.ahajournals.org ↗
  3. 21 Sep 2026

    AI May Help Detect Cardiovascular Disease Risk During Routine Mammograms

    Good AI detection for hypertension, ischemic heart disease, and stroke. Researchers found that the deep learning AI model performed well at detecting ...

    resources.healthgrades.com ↗
  4. 19 Sep 2026

    An Agentic AI Platform for Continuous Cardiovascular Monitoring and Autonomous Clinical ...

    An Agentic AI Platform for Continuous Cardiovascular Monitoring and Autonomous Clinical Decision Support (IMAGE). Research Foundation for the State ...

    www.eurekalert.org ↗
  5. 18 Sep 2026

    An agentic AI platform for continuous cardiovascular monitoring and autonomous clinical ...

    An agentic AI platform for continuous cardiovascular monitoring and autonomous clinical decision support. AgentHeart is an innovative AI platform ...

    www.eurekalert.org ↗
  6. 17 Sep 2026

    Alcohol Abuse Tops List of Post-Trauma Cardiovascular Risks - AJMC

    Danish national registries (1995–2019) enabled a sex-stratified, case-control machine-learning ranking of 15 post-trauma psychiatric diagnoses against ...

    www.ajmc.com ↗
  7. 17 Sep 2026

    Machine learning and deep learning–based prediction of hypertension and analysis of its ...

    Hypertension is a leading cause of cardiovascular morbidity and mortality in Bangladesh. This study examined its prevalence, risk factors, ...

    journals.plos.org ↗
  8. 17 Sep 2026

    Machine learning and deep learning–based prediction of hypertension and analysis of its ...

    Hypertension is a leading cause of cardiovascular morbidity and mortality in Bangladesh. This study examined its prevalence, risk factors, ...

    journals.plos.org ↗
  9. 16 Sep 2026

    Q&A: Haider Warraich on the Quest for Agentic AI Tools for CVD | tctmd.com

    Last week, the US Advanced Research Projects Agency for Health (ARPA-H) announced the teams selected for its Agentic AI-Enabled Cardiovascular Care ...

    www.tctmd.com ↗
  10. 15 Sep 2026

    First-Ever Single Brain Implant Can Translate Speech and Gestures at the Same Time

    Utilizing multimodal artificial intelligence to advance cardiovascular diseases. Xin-yue Yang, Precision Clinical Medicine, 2025. Is High-Fidelity ...

    www.discovermagazine.com ↗
  11. 15 Sep 2026

    Cardiovascular Imaging AI Startup Corologic Raises Seed Funding from Kakao Ventures ...

    Corologic, a cardiovascular imaging artificial intelligence (AI) ... Yeji X Raises Seed Funding to Reduce Heart Failure Readmissions with Multimodal AI ...

    en.wowtale.net ↗
  12. 15 Sep 2026

    Family Heart Foundation Study Demonstrates How the FIND Lp(a) Machine Learning Model ...

    ... Machine Learning Model can identify people with atherosclerotic cardiovascular disease (ASCVD) who are more likely to have high lipoprotein(a) ...

    finance.yahoo.com ↗
  13. 11 Sep 2026

    Helping AI Read the Heart More Reliably - Eindhoven University of Technology

    In her thesis, Towards Reliable Multimodal ECG Language Models for Cardiovascular Care, Tang examines how artificial intelligence can combine ...

    www.tue.nl ↗
  14. 02 Sep 2026

    Development and external validation of a contrastive learning foundation model for ECG ...

    ... representation learning across a broad range of cardiovascular and outcome prediction tasks. More broadly, this work helps to clarify the role of ...

    www.thelancet.com ↗
Sources

Where this comes from

Artificial Intelligence — Google

https://www.google.co.in/alerts/feeds/05832220720342067762/1990879549…

401 items Polled 22 Sep, 12:14 UTC 200

Agentic AI — Google

https://www.google.co.in/alerts/feeds/05832220720342067762/4849751788…

401 items Polled 22 Sep, 12:14 UTC 200

AI Agents — Google

https://www.google.co.in/alerts/feeds/05832220720342067762/4849751788…

401 items Polled 22 Sep, 12:14 UTC 200

Data Science — Google

https://www.google.co.in/alerts/feeds/05832220720342067762/4836803184…

401 items Polled 22 Sep, 12:14 UTC 200

Large Language Model — Google

https://www.google.co.in/alerts/feeds/05832220720342067762/8510459957…

401 items Polled 22 Sep, 12:14 UTC 200

Machine Learning — Google

https://www.google.co.in/alerts/feeds/05832220720342067762/4836803184…

401 items Polled 22 Sep, 12:14 UTC 200

Deep Learning — Google

https://www.google.co.in/alerts/feeds/05832220720342067762/1643871049…

401 items Polled 22 Sep, 12:14 UTC 200

LLMs Alignment — Google

https://www.google.co.in/alerts/feeds/05832220720342067762/5121641697…

45 items Polled 22 Sep, 12:14 UTC 200

AI Alignment — Google

https://www.google.co.in/alerts/feeds/05832220720342067762/1764885284…

401 items Polled 22 Sep, 12:14 UTC 200

Representation Learning — Google

https://www.google.co.in/alerts/feeds/05832220720342067762/1758013403…

146 items Polled 22 Sep, 12:14 UTC 200

Reinforcement Learning — Google

https://www.google.co.in/alerts/feeds/05832220720342067762/1720175169…

401 items Polled 22 Sep, 12:14 UTC 200

Generative AI — Google

https://www.google.co.in/alerts/feeds/05832220720342067762/7811591585…

401 items Polled 22 Sep, 12:14 UTC 200

Multimodal AI — Google

https://www.google.co.in/alerts/feeds/05832220720342067762/9568555102…

401 items Polled 22 Sep, 12:14 UTC 200

Mechanistic Interpretability — Google

https://www.google.co.in/alerts/feeds/05832220720342067762/8541059511…

33 items Polled 22 Sep, 12:14 UTC 200

RLHF — Google

https://www.google.co.in/alerts/feeds/05832220720342067762/7811591585…

32 items Polled 22 Sep, 12:14 UTC 200

Feeds are configured through the LEARN_FEEDS environment variable, so new sources can be added without a code change. Each poll sends the stored ETag and Last-Modified headers, so an unchanged feed answers 304 and costs the publisher nothing.