Citation Impact
Citing Papers
Trustworthy artificial intelligence and the European Union AI act: On the conflation of trustworthiness and acceptability of risk
2023 Standout
Protocol for development of a reporting guideline (TRIPOD-AI) and risk of bias tool (PROBAST-AI) for diagnostic and prognostic prediction model studies based on artificial intelligence
2021
Machine intelligence in healthcare—perspectives on trustworthiness, explainability, usability, and transparency
2020
Navigating the confluence of artificial intelligence and education for sustainable development in the era of industry 4.0: Challenges, opportunities, and ethical dimensions
2024 Standout
Artificial intelligence in healthcare: transforming the practice of medicine
2021 Standout
Foundation models for generalist medical artificial intelligence
2023 StandoutNature
Explainability for artificial intelligence in healthcare: a multidisciplinary perspective
2020 Standout
AI in health and medicine
2022 Standout
Guidelines for clinical trial protocols for interventions involving artificial intelligence: the SPIRIT-AI Extension
2020
Large language models in medicine
2023 Standout
Artificial Intelligence for Mental Health Care: Clinical Applications, Barriers, Facilitators, and Artificial Wisdom
2021
Multimodal biomedical AI
2022 Standout
Measuring the Quality of Explanations: The System Causability Scale (SCS)
2020
Language models are an effective representation learning technique for electronic health record data
2020
Guidelines for Artificial Intelligence in Medicine: Literature Review and Content Analysis of Frameworks
2022
Revolutionizing healthcare: the role of artificial intelligence in clinical practice
2023 Standout
Illuminating the dark spaces of healthcare with ambient intelligence
2020 Nature
Machine learning for COVID-19—asking the right questions
2020
Do as AI say: susceptibility in deployment of clinical decision-aids
2021
The false hope of current approaches to explainable artificial intelligence in health care
2021 Standout
ChatGPT Utility in Healthcare Education, Research, and Practice: Systematic Review on the Promising Perspectives and Valid Concerns
2023 Standout
Trustworthy artificial intelligence
2020
Systematic Review of Approaches to Preserve Machine Learning Performance in the Presence of Temporal Dataset Shift in Clinical Medicine
2021
Artificial intelligence, machine learning and deep learning in advanced robotics, a review
2023 Standout
Combining chest X-rays and electronic health record (EHR) data using machine learning to diagnose acute respiratory failure
2022
Democratizing EHR analyses with FIDDLE: a flexible data-driven preprocessing pipeline for structured clinical data
2020
Explainable Artificial Intelligence (XAI): What we know and what is left to attain Trustworthy Artificial Intelligence
2023 Standout
Common pitfalls and recommendations for using machine learning to detect and prognosticate for COVID-19 using chest radiographs and CT scans
2020 Standout
The effects of explainability and causability on perception, trust, and acceptance: Implications for explainable AI
2020 Standout
Artificial Intelligence Surgery: How Do We Get to Autonomous Actions in Surgery?
2021
Works of Mark Sendak being referenced
Presenting machine learning model information to clinical end users with model facts labels
2020
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
Barriers to Achieving Economies of Scale in Analysis of EHR Data
2017
Do no harm: a roadmap for responsible machine learning for health care
2019 Standout
A Path for Translation of Machine Learning Products into Healthcare Delivery
2020