Karin Jongsma

Who is afraid of black box algorithms? On the epistemological and ethical basis of trust in medical AI

2021 · 419 Zit. · Journal of Medical Ethics

Responsibility beyond design: Physicians’ requirements for ethical medical AI

2021 · 101 Zit. · Bioethics

Integrating artificial intelligence in pathology: a qualitative interview study of users' experiences and expectations

2022 · 48 Zit. · Modern Pathology

Response to our reviewers

2021 · 37 Zit. · Journal of Medical Ethics

The Effect of Artificial Intelligence on Patient-Physician Trust: Cross-Sectional Vignette Study

2024 · 25 Zit. · Journal of Medical Internet Research

How digital health affects the patient-physician relationship: An empirical-ethics study into the perspectives and experiences in obstetric care

2021 · 24 Zit. · Pregnancy Hypertension

Finding Consensus on Trust in AI in Health Care: Recommendations From a Panel of International Experts

2025 · 24 Zit. · Journal of Medical Internet Research

Physicians’ required competencies in AI-assisted clinical settings: a systematic review

2025 · 23 Zit. · British Medical Bulletin

Why we should not mistake accuracy of medical AI for efficiency

2024 · 23 Zit. · npj Digital Medicine

Making Pathologists Ready for the New Artificial Intelligence Era: Changes in Required Competencies

2024 · 13 Zit. · Modern Pathology

Ethical guidance for reporting and evaluating claims of AI outperforming human doctors

2024 · 10 Zit. · npj Digital Medicine

The ethics and epistemology of explanatory AI in medicine and healthcare

2022 · 9 Zit. · Ethics and Information Technology

Why We Should Understand Conversational AI as a Tool

2023 · 6 Zit. · The American Journal of Bioethics

The Promise of AI for Image-Driven Medicine: Qualitative Interview Study of Radiologists’ and Pathologists’ Perspectives

2024 · 5 Zit. · JMIR Human Factors

Agree to disagree: the symmetry of burden of proof in human–AI collaboration

2022 · 3 Zit. · Journal of Medical Ethics