Research Focus

Artificial intelligence including deep learning and machine learning for healthcare, natural language processing (NLP) and image processing for healthcare, recommender systems for healthcare

About

Saeed Amal is an Assistant Research Professor at Northeastern University. Amal was a Postdoctoral Fellow at the Stanford University School of Medicine where he focused on the applications of artificial intelligence to improve healthcare, specifically care for cardiovascular disease. He received his PhD and MSc degree in Computer Science from the University of Haifa and a BSc degree in Computer Science from Technion.

Amal has vast leadership experience in applied research from the tech industry and is a former VP of an R&D data medical startup in the field of cardiology. His research interests are the healthcare applications for artificial intelligence, including deep learning and machine learning, natural language processing (NLP), image processing, and recommender systems.

Research Overview

Artificial intelligence including deep learning and machine learning for healthcare, natural language processing (NLP) and image processing for healthcare, recommender systems for healthcare

Selected Publications

Saeed Amal publications
amal-s

In the Media

Jul 31, 2024

New Research Shows AI Can Revolutionize Breast Cancer Diagnosis

BioE Assistant Research Professor Saeed Amal was featured in the Lagatar News article “New Research Shows AI Can Revolutionize Breast Cancer Diagnosis.”

Faculty

Jun 26, 2024

New AI Architecture Can Detect Breast Cancer With a Near-Perfect Accuracy Rate

BioE Assistant Research Professor Saeed Amal and his research team have developed a new AI architecture that has detected breast cancer with a 99.7% accuracy rate. His research was published in the journal Cancers. He has submitted an invention disclosure with the Center for Research Innovation on the idea. 

Faculty

Jan 11, 2024

Detecting Prostate Cancer Faster With AI

BioE Assistant Research Professor Saeed Amal has developed a new AI-powered web-based tool that will be able to detect prostate cancer faster.

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