Konstantinos Balaskas

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

2019 · 1.728 Zit. · The Lancet Digital Health

Reporting guideline for the early-stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI

2022 · 432 Zit. · Nature Medicine

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

2019 · 309 Zit. · The Lancet Digital Health

Code-free deep learning for multi-modality medical image classification

2021 · 166 Zit. · Nature Machine Intelligence

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

2020 · 150 Zit. · Translational Vision Science & Technology

Will AI Replace Ophthalmologists?

2020 · 37 Zit. · Translational Vision Science & Technology

Delivering personalized medicine in retinal care: from artificial intelligence algorithms to clinical application

2020 · 34 Zit. · Current Opinion in Ophthalmology

Integrating artificial intelligence into an ophthalmologist’s workflow: obstacles and opportunities

2023 · 21 Zit. · Expert Review of Ophthalmology

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

Safety and efficacy of an artificial intelligence-enabled decision tool for treatment decisions in neovascular age-related macular degeneration and an exploration of clinical pathway integration and implementation: protocol for a multi-methods validation study

2023 · 11 Zit. · BMJ Open

Diagnostic decisions of specialist optometrists exposed to ambiguous deep-learning outputs

2024 · 7 Zit. · Scientific Reports

Diagnostic decisions of specialist optometrists exposed to ambiguous deep-learning outputs

2023 · 0 Zit. · Research Square (Research Square)