OpenAlex · Aktualisierung stündlich · Letzte Aktualisierung: 07.04.2026, 09:57

Suresh Balu

100 Arbeiten2.240 Zitationen

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