Issam El Naqa

A review of explainable and interpretable AI with applications in COVID‐19 imaging

2021 · 112 Zit. · Medical Physics

Revolutionizing Digital Pathology With the Power of Generative Artificial Intelligence and Foundation Models

2023 · 108 Zit. · Laboratory Investigation

Balancing accuracy and interpretability of machine learning approaches for radiation treatment outcomes modeling

2019 · 107 Zit. · BJR|Open

Artificial Intelligence: reshaping the practice of radiological sciences in the 21st century

2020 · 95 Zit. · British Journal of Radiology

Requirements and reliability of AI in the medical context

2021 · 85 Zit. · Physica Medica

Machine Learning and Imaging Informatics in Oncology

2018 · 66 Zit. · Oncology

AI and machine learning ethics, law, diversity, and global impact

2023 · 65 Zit. · British Journal of Radiology

Translation of AI into oncology clinical practice

2023 · 64 Zit. · Oncogene

AI in medical physics: guidelines for publication

2021 · 42 Zit. · Medical Physics

Perspectives on making big data analytics work for oncology

2016 · 37 Zit. · Methods

The role of artificial intelligence in hastening time to recruitment in clinical trials

2023 · 35 Zit. · BJR|Open

Prospects and Challenges for Clinical Decision Support in the Era of Big Data

2018 · 34 Zit. · JCO Clinical Cancer Informatics

Intricacies of human–AI interaction in dynamic decision-making for precision oncology

2025 · 27 Zit. · Nature Communications

Prospective clinical deployment of machine learning in radiation oncology

2021 · 21 Zit. · Nature Reviews Clinical Oncology

Artificial Intelligence in Clinical Trials

2022 · 7 Zit.