Suresh Balu
Duke University · US
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
Presenting machine learning model information to clinical end users with model facts labels
2020 · 207 Zit. · npj Digital Medicine
Real-World Integration of a Sepsis Deep Learning Technology Into Routine Clinical Care: Implementation Study
2019 · 207 Zit. · JMIR Medical Informatics
"The human body is a black box"
2020 · 171 Zit.
Integrating a Machine Learning System Into Clinical Workflows: Qualitative Study
2020 · 146 Zit. · Journal of Medical Internet Research
A Path for Translation of Machine Learning Products into Healthcare Delivery
2020 · 140 Zit. · EMJ Innovation
A framework for the oversight and local deployment of safe and high-quality prediction models
2022 · 95 Zit. · Journal of the American Medical Informatics Association
Machine Learning in Health Care: A Critical Appraisal of Challenges and Opportunities
2019 · 78 Zit. · eGEMs (Generating Evidence & Methods to improve patient outcomes)
Organizational Governance of Emerging Technologies: AI Adoption in Healthcare
2023 · 42 Zit.
Translating ethical and quality principles for the effective, safe and fair development, deployment and use of artificial intelligence technologies in healthcare
2023 · 41 Zit. · Journal of the American Medical Informatics Association
Development and preliminary testing of Health Equity Across the AI Lifecycle (HEAAL): A framework for healthcare delivery organizations to mitigate the risk of AI solutions worsening health inequities
2024 · 38 Zit. · PLOS Digital Health
Translating AI for the Clinician
2024 · 25 Zit. · JAMA
Enabling collaborative governance of medical AI
2023 · 23 Zit. · Nature Machine Intelligence
"The Human Body is a Black Box": Supporting Clinical Decision-Making with Deep Learning
2019 · 22 Zit. · arXiv (Cornell University)
Frameworks for procurement, integration, monitoring, and evaluation of artificial intelligence tools in clinical settings: A systematic review
2024 · 19 Zit. · PLOS Digital Health
A framework for understanding label leakage in machine learning for health care
2023 · 18 Zit. · Journal of the American Medical Informatics Association