Lucas M. Bachmann

A comparison of deep learning performance against health-care professionals in detecting diseases from medical imaging: a systematic review and meta-analysis

2019 · 1.760 Zit. · The Lancet Digital Health

Automated deep learning design for medical image classification by health-care professionals with no coding experience: a feasibility study

2019 · 312 Zit. · The Lancet Digital Health

A Clinician's Guide to Artificial Intelligence: How to Critically Appraise Machine Learning Studies

2020 · 154 Zit. · Translational Vision Science & Technology

Acceptance and Perception of Artificial Intelligence Usability in Eye Care (APPRAISE) for Ophthalmologists: A Multinational Perspective

2022 · 53 Zit. · Frontiers in Medicine

Artificial Intelligence and Statistics: Just the Old Wine in New Wineskins?

2022 · 20 Zit. · Frontiers in Digital Health

Deep Learning Under Scrutiny: Performance Against Health Care Professionals in Detecting Diseases from Medical Imaging - Systematic Review and Meta-Analysis

2019 · 17 Zit. · SSRN Electronic Journal