Hanna M. Zafar

Integrating Natural Language Processing and Machine Learning Algorithms to Categorize Oncologic Response in Radiology Reports

2017 · 100 Zit. · Journal of Digital Imaging

Automated Detection of Radiology Reports that Require Follow-up Imaging Using Natural Language Processing Feature Engineering and Machine Learning Classification

2019 · 54 Zit. · Journal of Digital Imaging

Use of an Online Crowdsourcing Platform to Assess Patient Comprehension of Radiology Reports and Colloquialisms

2020 · 17 Zit. · American Journal of Roentgenology

Automated Organ-Level Classification of Free-Text Pathology Reports to Support a Radiology Follow-up Tracking Engine

2019 · 16 Zit. · Radiology Artificial Intelligence

Impact of Artificial Intelligence–Assisted Indication Selection on Appropriateness Order Scoring for Imaging Clinical Decision Support

2023 · 6 Zit. · Journal of the American College of Radiology

Potential Frameworks for Communicating Diagnostic Certainty in Radiology Reports: From the ACR Commission on Quality and Safety

2025 · 2 Zit. · Journal of the American College of Radiology

Developing Algorithm-Based Recommendations in the ACR: Defining a New Process

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