Suresh Balu

Real-World Integration of a Sepsis Deep Learning Technology Into Routine Clinical Care: Implementation Study

2019 · 221 Zit. · JMIR Medical Informatics

Presenting machine learning model information to clinical end users with model facts labels

2020 · 215 Zit. · npj Digital Medicine

Development and validation of machine learning models to identify high-risk surgical patients using automatically curated electronic health record data (Pythia): A retrospective, single-site study

2018 · 209 Zit. · PLoS Medicine

"The human body is a black box"

2020 · 178 Zit.

Integrating a Machine Learning System Into Clinical Workflows: Qualitative Study

2020 · 151 Zit. · Journal of Medical Internet Research

A Path for Translation of Machine Learning Products into Healthcare Delivery

2020 · 142 Zit. · EMJ Innovation

A framework for the oversight and local deployment of safe and high-quality prediction models

2022 · 97 Zit. · Journal of the American Medical Informatics Association

Machine Learning in Health Care: A Critical Appraisal of Challenges and Opportunities

2019 · 79 Zit. · eGEMs (Generating Evidence & Methods to improve patient outcomes)

Translating ethical and quality principles for the effective, safe and fair development, deployment and use of artificial intelligence technologies in healthcare

2023 · 45 Zit. · Journal of the American Medical Informatics Association

Development and Validation of Machine Learning Models to Predict Admission From Emergency Department to Inpatient and Intensive Care Units

2021 · 43 Zit. · Annals of Emergency Medicine

Organizational Governance of Emerging Technologies: AI Adoption in Healthcare

2023 · 42 Zit.

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 · 41 Zit. · PLOS Digital Health

Translating AI for the Clinician

2024 · 26 Zit. · JAMA

Enabling collaborative governance of medical AI

2023 · 23 Zit. · Nature Machine Intelligence

Frameworks for procurement, integration, monitoring, and evaluation of artificial intelligence tools in clinical settings: A systematic review

2024 · 22 Zit. · PLOS Digital Health