Chest X-ray Report Generation through Fine-Grained Label Learning

no code implementations • 27 Jul 2020 • Tanveer Syeda-Mahmood, Ken C. L. Wong, Yaniv Gur, Joy T. Wu, Ashutosh Jadhav, Satyananda Kashyap, Alexandros Karargyris, Anup Pillai, Arjun Sharma, Ali Bin Syed, Orest Boyko, Mehdi Moradi

Obtaining automated preliminary read reports for common exams such as chest X-rays will expedite clinical workflows and improve operational efficiencies in hospitals.

Receptivity of an AI Cognitive Assistant by the Radiology Community: A Report on Data Collected at RSNA

no code implementations • 13 Sep 2020 • Karina Kanjaria, Anup Pillai, Chaitanya Shivade, Marina Bendersky, Ashutosh Jadhav, Vandana Mukherjee, Tanveer Syeda-Mahmood

Due to advances in machine learning and artificial intelligence (AI), a new role is emerging for machines as intelligent assistants to radiologists in their clinical workflows.

Multiple-choice Question Answering

Extracting and Learning Fine-Grained Labels from Chest Radiographs

no code implementations • 18 Nov 2020 • Tanveer Syeda-Mahmood, K. C. L Wong, Joy T. Wu, M. D., M. P. H, Ashutosh Jadhav, Ph. D, Orest Boyko, M. D. Ph. D

Chest radiographs are the most common diagnostic exam in emergency rooms and intensive care units today.

Towards Automatic Prediction of Outcome in Treatment of Cerebral Aneurysms

no code implementations • 18 Nov 2022 • Ashutosh Jadhav, Satyananda Kashyap, Hakan Bulu, Ronak Dholakia, Amon Y. Liu, Tanveer Syeda-Mahmood, William R. Patterson, Hussain Rangwala, Mehdi Moradi

Residual flow into the sac after the intervention is a failure that could be due to the use of an undersized device, or to vascular anatomy and clinical condition of the patient.

Anatomy