Tarik K. Alkasab

A Road Map for Translational Research on Artificial Intelligence in Medical Imaging: From the 2018 National Institutes of Health/RSNA/ACR/The Academy Workshop

2019 · 123 Zit. · Journal of the American College of Radiology

Implementation of Clinical Artificial Intelligence in Radiology: Who Decides and How?

2022 · 116 Zit. · Radiology

Artificial Intelligence and Clinical Decision Support for Radiologists and Referring Providers

2019 · 91 Zit. · Journal of the American College of Radiology

Toward Augmented Radiologists

2018 · 90 Zit. · Academic Radiology

Addressing the Challenges of Implementing Artificial Intelligence Tools in Clinical Practice: Principles From Experience

2023 · 45 Zit. · Journal of the American College of Radiology

Bending the Artificial Intelligence Curve for Radiology: Informatics Tools From ACR and RSNA

2019 · 37 Zit. · Journal of the American College of Radiology

Implementation of Clinical Artificial Intelligence in Radiology: Who Decides and How?

2022 · 22 Zit. · Radiology

Development of Medical Imaging Data Standardization for Imaging-Based Observational Research: OMOP Common Data Model Extension

2024 · 20 Zit. · Journal of Imaging Informatics in Medicine

Artificial Intelligence Enabling Radiology Reporting

2021 · 18 Zit. · Radiologic Clinics of North America

Standardizing imaging findings representation: harnessing Common Data Elements semantics and Fast Healthcare Interoperability Resources structures

2024 · 5 Zit. · Journal of the American Medical Informatics Association

Lessons Learned From the Front Lines of Artificial Intelligence Implementation

2021 · 3 Zit. · Journal of the American College of Radiology

Data Management in Artificial Intelligence–Assisted Radiology Reporting

2021 · 2 Zit. · Journal of the American College of Radiology

The Potential Role of Artificial Intelligence in Systematic Follow-Up Recommendation Tracking and Outcome Assessment

2025 · 0 Zit. · Journal of the American College of Radiology

Artificial intelligence-generated smart impression from 9.8-million radiology reports as training datasets from multiple sites and imaging modalities

2024 · 0 Zit.

Guidelines for Reporting Studies on Large Language Models in Radiology: An International Delphi Expert Survey

2026 · 0 Zit. · Radiology