American Heart Association
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
Recommendations for Reporting Machine Learning Analyses in Clinical Research
Laura Stevens, Bobak J. Mortazavi, Rahul C. Deo et al.
2020 · 250 Zit.
Technology approaches to digital health literacy
Patrick Dunn, Eric L. Hazzard
2019 · 220 Zit.
The inclusion of augmented intelligence in medicine: A framework for successful implementation
George Bazoukis, Jennifer L. Hall, Joseph Loscalzo et al.
2022 · 93 Zit.
Artificial Intelligence and Machine Learning in Radiology
Julian L. Wichmann, Martin J. Willemink, Carlo N. De Cecco
2020 · 77 Zit.
Using artificial intelligence for improving stroke diagnosis in emergency departments: a practical framework
Vida Abedi, Ayesha Khan, Durgesh Chaudhary et al.
2020 · 49 Zit.
American Heart Association Precision Medicine Platform
Taha Kass‐Hout, Laura Stevens, Jennifer L. Hall
2018 · 43 Zit.
Mental Health Applications of Generative AI and Large Language Modeling in the United States
Srikanta Banerjee, Patrick Dunn, Scott Conard et al.
2024 · 20 Zit.
Large language modeling and classical AI methods for the future of healthcare
Srikanta Banerjee, Patrick Dunn, Scott Conard et al.
2023 · 17 Zit.
Access to digital health technologies: personalized framework and global perspectives
Sanjiv M. Narayan, Mina K. Chung, Demilade Adedinsewo et al.
2025 · 9 Zit.
Artificial intelligence in cardiology: Exciting but handle with caution
Patrick Dunn, Domenico Cianflone
2023 · 7 Zit.
ML-MEDIC: A Preliminary Study of an Interactive Visual Analysis Tool Facilitating Clinical Applications of Machine Learning for Precision Medicine
Laura Stevens, David Kao, Jennifer L. Hall et al.
2020 · 3 Zit.
Special issue on digital health literacy: Introduction
Patrick Dunn
2019 · 3 Zit.
Development of Classification Models for Assessment of Endotracheal Intubation Training by a Cyber-Physical System
Chiho Lim, Hoo Sang Ko, Sohyung Cho et al.
2019 · 2 Zit.
Changing the Narrative: Proceedings of a Summit on Advancing Precision in Health Assessment
Beth C. Arredondo, Aaron Baugh, Grant L. Iverson et al.
2026 · 0 Zit.
Architectural Design of a Blockchain-Enabled, Federated Learning Platform for Algorithmic Fairness in Predictive Health Care: Design Science Study (Preprint)
Xueping Liang, Juan Zhao, Yan Chen et al.
2023 · 0 Zit.