British Heart Foundation
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods
Gary S. Collins, Karel G.M. Moons, Paula Dhiman et al.
2024 · 1.422 Zit.
Preoperative anaemia and postoperative outcomes in non-cardiac surgery: a retrospective cohort study
Khaled M. Musallam, Hani Tamim, Toby Richards et al.
2011 · 1.228 Zit.
Reporting guideline for the early-stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI
Baptiste Vasey, Myura Nagendran, Bruce Campbell et al.
2022 · 427 Zit.
Reporting guideline for the early stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI
Baptiste Vasey, Myura Nagendran, Bruce Campbell et al.
2022 · 294 Zit.
PROBAST+AI: an updated quality, risk of bias, and applicability assessment tool for prediction models using regression or artificial intelligence methods
Karel G.M. Moons, Johanna AAG Damen, T. K. Kaul et al.
2025 · 175 Zit.
Fairness in Cardiac Magnetic Resonance Imaging: Assessing Sex and Racial Bias in Deep Learning-Based Segmentation
Esther Puyol‐Antón, Bram Ruijsink, Jorge Mariscal Harana et al.
2022 · 66 Zit.
Artificial intelligence in cardiovascular imaging—principles, expectations, and limitations
Charalambos Antoniades, Evangelos K. Oikonomou
2021 · 36 Zit.
Advancing microbiome research with machine learning: key findings from the ML4Microbiome COST action
Domenica D’Elia, Jaak Truu, Leo Lahti et al.
2023 · 30 Zit.
Proceedings of the NHLBI Workshop on Artificial Intelligence in Cardiovascular Imaging
Damini Dey, Rima Arnaout, Sameer Antani et al.
2023 · 28 Zit.
Study design and baseline characteristics of patients on dialysis in the ASCEND-D trial
Ajay Singh, Allison Blackorby, Borut Čižman et al.
2021 · 17 Zit.
Towards nationally curated data archives for clinical radiology image analysis at scale: Learnings from national data collection in response to a pandemic
Dominic Cushnan, Rosalind Berka, Ottavia Bertolli et al.
2021 · 14 Zit.
Fairness in Cardiac Magnetic Resonance Imaging: Assessing Sex and Racial Bias in Deep Learning-based Segmentation
Esther Puyol‐Antón, Bram Ruijsink, Jorge Mariscal Harana et al.
2021 · 13 Zit.
How will artificial intelligence transform cardiovascular computed tomography? A conversation with an AI model
Michelle C. Williams, James Shambrook
2023 · 12 Zit.
Controversy in Hypertension: Pro-Side of the Argument Using Artificial Intelligence for Hypertension Diagnosis and Management
Antonis A. Armoundas, Faraz S. Ahmad, Zachi I. Attia et al.
2025 · 8 Zit.
Publisher Correction: Reporting guideline for the early-stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI
Baptiste Vasey, Myura Nagendran, B. A. Campbell et al.
2022 · 7 Zit.