Automated generation of radiology reports from medical images using deep learning

Bouhali, Othmane (Lead Principal Investigator)
Al-Ubejdij, Ejmen (Undergraduate Student)
Gavankar, Umair Firoz (Undergraduate Student)
Aouadi, Souha (Co-Lead Principal Investigator)
Hamidi, Rama Al (Undergraduate Student)

Hamad Medical Corporation
Texas A &M University at Qatar

Project: Applied Research

Abstract

The proposed project aims to develop a deep learning framework for the automated generation of radiology reports from medical images. This initiative is motivated by the growing volume of imaging data and the inherent challenges of manual report generation, such as time consumption, inter-observer variability, and potential diagnostic delays

Submitting Institute Name

Hamad Bin Khalifa University (HBKU)

Sponsor's Award Number	UREP 32-0206-250060
Proposal ID	EX-QNRF-UREP-24
Status	Active
Effective start/end date	1/10/25 → 1/10/26

Collaborative partners

Hamad Bin Khalifa University (lead)
Hamad Medical Corporation
Texas A &M University at Qatar

Primary Theme

Artificial Intelligence

Primary Subtheme

AI - Healthcare

Secondary Theme

Precision Health

Secondary Subtheme

PH - Diagnosis Treatment

Keywords

Deep Learning
Health record
Medical Imaging