Saeed Amal

About

Saeed Amal is a 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.

Selected Publications

• “Song, Xinwei; Vats, Saanidhya; Breggia, Anne; Ahmad, Bilal; Christman, Robert; Ryan, Stephan; Amal, Saeed; “,Medsam and Generative Ai for Segmenting Gleason Pattern in Digital Pathology Slides of Prostate Cancer,Available at SSRN 5166739. 2025.
• “Amal, Saeed; Tsai, Chun-Hua; Brusilovsky, Peter; Kuflik, Tsvi; Minkov, Einat; “,Relational social recommendation: application to the academic domain,Expert Systems with Applications,124,,182-195,2019,Pergamon
• “Amal, Saeed; Adam, Mustafa; Brusilovsky, Peter; Minkov, Einat; Kuflik, Tsvi; “,Enhancing explainability of social recommendation using 2D graphs and word cloud visualizations,Companion Proceedings of the 24th International Conference on Intelligent User Interfaces,,,21-22,2019.
• “Amal, Saeed; KuFlik, Tsvi; Minkov, Einat; “,Harvesting entity-relation social networks from the web: Potential and challenges,”Proceedings of the 25th Conference on User Modeling, Adaptation and Personalization”,,,351-352,2017,
• “Amal, Saeed; Adam, Mustafa; Brusilovsky, Peter; Minkov, Einat; Segal, Zef; Kuflik, Ts vi; “,Demonstrating personalized multifaceted visualization of people recommendation to conference participants,Companion Proceedings of the 25th International Conference on Intelligent User Interfaces,,,49-50,2020,
• “Amal, Saeed; Adam, Mustafa; Brusilovsky, Peter; Minkov, Einat; Segal, Zef; Kuflik, Tsvi; “,Visualizing personalized multifaceted ad-hoc social network,”Adjunct Publication of the 28th ACM Conference on User Modeling, Adaptation and Personalization”,,,101-102,2020,
• “Amal, Saeed; Adam, Mustafa; Brusilovsky, Peter; Minkov, Einat; Kuflik, Tsvi; “,Personalized multifaceted visualization of scholars profiles,Proceedings of the 2020 International Conference on Advanced Visual Interfaces,,,1-3,2020,
• “Amal, Saeed; Minkov, Einat; Kuflik, Tsvi; “,”Person Entity Profiling Framework: Identifying, Integrating and Visualizing Online Freely Available Entity-Related Information”,arXiv preprint arXiv:2110.00759,,,,2021,
• “Amal, Saeed; Safarnejad, Lida; Omiye, Jesutofunmi A; Ghanzouri, Ilies; Cabot, John Hanson; Ross, Elsie Gyang; “,Use of multi-modal data and machine learning to improve cardiovascular disease care,Frontiers in cardiovascular medicine,9,,840262,2022,Frontiers Media SA
• “Ghanzouri, I; Amal, S; Ho, V; Safarnejad, L; Cabot, J; Brown-Johnson, CG; Leeper, N; Asch, S; Shah, NH; Ross, EG; “,Performance and usability testing of an automated tool for detection of peripheral artery disease using electronic health records,Scientific Reports,12,1,13364,2022,Nature Publishing Group UK London
• “Amal, Saeed; Kramer, Robert; Sawyer, Douglas; Rabb, Jaime B; Maurais, Alanna S; Ross, Cathy S; Iribarne, Alexander; Winslow, Raimond L; “,Predicting Adverse Events in the Cardiothoracic Surgery Intensive Care Unit Using Machine Learning: Results and Challenges,medRxiv,,,,2022,Cold Spring Harbor Laboratory Press
• “Ho, Vy; Johnson, Cati Brown; Ghanzouri, Ilies; Amal, Saeed; Asch, Steven; Ross, Elsie; “,Physician and patient-elicited barriers and facilitators to implementation of a machine learning-based screening tool for peripheral arterial disease: qualitative study,JMIR Preprints. 30/11/2022:44732,,,,2022,https://preprints.jmir.org/preprint/44732
• “Singh, Akarsh; Wan, Michael; Harrison, Lane; Breggia, Anne; Christman, Robert; Winslow, Raimond L; Amal, Saeed; “,Visualizing Decisions and Analytics of Artificial Intelligence based Cancer Diagnosis and Grading of Specimen Digitized Biopsy: Case Study for Prostate Cancer,Companion Proceedings of the 28th International Conference on Intelligent User Interfaces,,,166-170,2023,
• “Ho, Vy; Johnson, Cati Brown; Ghanzouri, Ilies; Amal, Saeed; Asch, Steven; Ross, Elsie; “,Physician-and Patient-Elicited Barriers and Facilitators to Implementation of a Machine Learning–Based Screening Tool for Peripheral Arterial Disease: Preimplementation Study With Physician and Patient Stakeholders,JMIR cardio,7,1,e44732,2023,”JMIR Publications Inc., Toronto, Canada”
• “Singh, Akarsh; Randive, Shruti; Breggia, Anne; Ahmad, Bilal; Christman, Robert; Amal, Saeed; “,”Enhancing prostate cancer diagnosis with a novel artificial intelligence-based web application: synergizing deep learning models, multimodal data, and insights from usability study with pathologists”,Cancers,15,23,5659,2023
  “Milosevic, Marko; Jin, Qingchu; Singh, Akarsh; Amal, Saeed; “,Applications of AI in multi-modal imaging for cardiovascular disease,Frontiers in Radiology,3,,,2023,Frontiers Media SA
• “Kondejkar, Tanaya; Al-Heejawi, Salah Mohammed Awad; Breggia, Anne; Ahmad, Bilal; Christman, Robert; Ryan, Stephen T; Amal, Saeed; “,Multi-scale digital pathology patch-level prostate cancer grading using deep learning: use case evaluation of diagset dataset,Bioengineering,11,6,624,2024
• “Balasubramanian, Aadhi Aadhavan; Al-Heejawi, Salah Mohammed Awad; Singh, Akarsh; Breggia, Anne; Ahmad, Bilal; Christman, Robert; Ryan, Stephen T; Amal, Saeed; “,Ensemble deep learning-based image classification for breast cancer subtype and invasiveness diagnosis from whole slide image histopathology,Cancers,16,12,2222,2024
• “Omiye, Jesutofunmi A; Ghanzouri, Ilies; Lopez, Ivan; Wang, Fudi; Cabot, John; Amal, Saeed; Ye, Jianqin; Lopez, Nicolas Gabriel; Adebayo-Tijani, Faatihat; Ross, Elsie Gyang; “,Clinical use of polygenic risk scores for detection of peripheral artery disease and cardiovascular events,Plos one,19,5,e0303610,2024,”Public Library of Science San Francisco, CA USA”
• “Alheejawi, Salah; Wu, Zongyu; Deng, Mo; Hemant, Isha; Breggia, Anne; Ahmad, Bilal; Christman, Robert; Amal, Saeed; “,Deep Learning for Diagnosing Prostate Cancer from Scanned Biopsies: Algorithms and Their Evaluation on Large Scale Dataset,Available at SSRN 4853638,,,,2024,
• “Vats, Saanidhya; Al-Heejawi, Salah Mohammed Awad; Kondejkar, Tanaya; Breggia, Anne; Ahmad, Bilal; Christman, Robert; Ryan Stephen, T; Amal, Saeed; “,Segmenting Tumor Gleason Pattern using Generative AI and Digital Pathology: Use Case of Prostate Cancer on MICCAI Dataset, 2024,
• “Mudavadkar, Govind Rajesh; Deng, Mo; Al-Heejawi, Salah Mohammed Awad; Arora, Isha Hemant; Breggia, Anne; Ahmad, Bilal; Christman, Robert; Ryan, Stephen T; Amal, Saeed; “,Gastric cancer detection with ensemble learning on digital pathology: Use case of gastric cancer on gashissdb dataset,Diagnostics,14,16,1746,2024
• “Korutla, Rajashekar; Hicks, Anne; Milosevic, Marko; Kulkarni, Dipti; Mazhude, Felistas; Mortazawy, Mehdi; Seyed Vahedein, Yashar; Kelting, Tyler; Rabib, Jaime B; Jin, Qingchu; “,Deep Learning Model and Multi Modal Late Fusion For Predicting Adverse Events Following Cardiothoracic Surgery in the ICU Using STS Data and Time Series Intraoperative Data,medRxiv,,,2024.09. 04.24312980,2024,Cold Spring Harbor Laboratory Press
• “Amal, Saeed; Sawyer, Douglas; Könik, Arda; “,Artificial Intelligence and Multimodal Medical Imaging Data Fusion for Improving Cardiovascular Disease Care,Frontiers in Radiology,4,,1412404,2024,Frontiers
• “Korutla, Rajashekar; Tedder, Douglas; Brogan, Kathryn; Milosevic, Marko; Cavanaugh, Robert; Shehadeh, Naim; Shara, Nawar; Lary, Christine; Correll, Michael; Ross, Elsie G; “,”Visualizing Treatment Pathways Leading to Amputation and Non Amputation Using Sankey Diagrams, Sunburst Plots, and Icicle Plots in Peripheral Artery Disease [PAD] patients”,2024,
  “Jain, Muskan Naresh; Al-Heejawi, Salah Mohammed Awad; Azzi, Jamil R; Amal, Saeed; “,Digital Pathology and Ensemble Deep Learning for Kidney Cancer Diagnosis: Dartmouth Kidney Cancer Histology Dataset,Applied Biosciences,4,1,8,2025,
• “Jain, Muskan Naresh; Al-Heejawi, Salah Mohammed Awad; Karkera, Tejas Mohan; Breggia, Anne; Ahmad, Bilal; Christman, Robert; Ryan, Stephen T; Amal, Saeed; “,Artificial Intelligence and Digital Pathology for Histologic Growth Pattern Classification in Lung Adenocarcinoma,2024,
• “Pike, Aiden MC; Amal, Saeed; Maginnis, Melissa S; Wilczek, Michael P; “,Evaluating Neural Network Performance in Predicting Disease Status and Tissue Source of JC Polyomavirus from Patient Isolates Based on the Hypervariable Region of the Viral Genome,Viruses,17,1,12,2024,
• “Korutla, Rajashekar; Tedder, Douglas; Brogan, Kathryn; Milosevic, Marko; Wilczek, Michael P; Shehadeh, Naim; Shara, Nawar; Ross, Elsie G; Amal, Saeed; “,Analysis and Visualization of Confounders and Treatment Pathways Leading to Amputation and Non-Amputation in Peripheral Artery Disease Patients Using Sankey Diagrams: Enhancing Explainability,Biomedicines,13,2,258,2025,
• “Jin, Qingchu; Amal, Saeed; Rabb, Jaime B; Mazhude, Felistas; Shivandi, Venkatesh; Kramer, Robert S; Sawyer, Douglas B; Winslow, Raimond L; “,Development and Validation of Machine Learning Models for Adverse Events after Cardiac Surgery,medRxiv,,,2025.02. 24.25322811,2025,Cold Spring Harbor Laboratory Press

Saeed Amal publications

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