Muhammad Mamdani

According to our database, Muhammad Mamdani authored at least 13 papers between 2012 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

Machine learning in vascular surgery: a systematic review and critical appraisal.

Ben Li, Tiam Feridooni, Cesar Cuen-Ojeda, Teruko Kishibe, Charles de Mestral, Muhammad Mamdani, Mohammed Al-Omran

npj Digit. Medicine, 2022

From compute to care: Lessons learned from deploying an early warning system into clinical practice.

Chloé Pou-Prom, Joshua Murray, Sebnem Kuzulugil, Muhammad Mamdani, Amol Verma

Frontiers Digit. Health, 2022

2021

Challenges for Reinforcement Learning in Healthcare.

Elsa Riachi, Muhammad Mamdani, Michael Fralick, Frank Rudzicz

CoRR, 2021

A Real-World Demonstration of Machine Learning Generalizability: Intracranial Hemorrhage Detection on Head CT.

Hojjat Salehinejad, Jumpei Kitamura, Noah Ditkofsky, Amy Lin, Aditya Bharatha, Suradech Suthiphosuwan, Hui-Ming Lin, Jefferson R. Wilson, Muhammad Mamdani, Errol Colak

CoRR, 2021

Deep Sequential Learning For Cervical Spine Fracture Detection On Computed Tomography Imaging.

Hojjat Salehinejad, Edward Ho, Hui-Ming Lin, Priscila Crivellaro, Oleksandra Samorodova, Monica Tafur Arciniegas, Zamir Merali, Suradech Suthiphosuwan, Aditya Bharatha, Kristen W. Yeom, Muhammad Mamdani, Jefferson Wilson, Errol Colak

Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

2020

Preparing a Clinical Support Model for Silent Mode in General Internal Medicine.

Bret Nestor, Liam G. McCoy, Amol Verma, Chloé Pou-Prom, Joshua Murray, Sebnem Kuzulugil, David Dai, Muhammad Mamdani, Anna Goldenberg, Marzyeh Ghassemi

Proceedings of the Machine Learning for Healthcare Conference, 2020

2019

Linking Quality Improvement and Health Information Technology through the QI-HIT Figure 8.

Trevor Jamieson, Muhammad Mamdani, Edward E. Etchells

Appl. Clin. Inform., 2019

AutoScribe: Extracting Clinically Pertinent Information from Patient-Clinician Dialogues.

Faiza Khan Khattak, Serena Jeblee, Noah H. Crampton, Muhammad Mamdani, Frank Rudzicz

Proceedings of the MEDINFO 2019: Health and Wellbeing e-Networks for All, 2019

Extracting relevant information from physician-patient dialogues for automated clinical note taking.

Serena Jeblee, Faiza Khan Khattak, Noah H. Crampton, Muhammad Mamdani, Frank Rudzicz

Proceedings of the Tenth International Workshop on Health Text Mining and Information Analysis LOUHI@EMNLP 2019, 2019

2016

A randomized wait-list control trial to evaluate the impact of a mobile application to improve self-management of individuals with type 2 diabetes: a study protocol.

Laura Desveaux, Payal Agarwal, Jay Shaw, Jennifer M. Hensel, Geetha Mukerji, Nike Onabajo, Husayn Marani, Trevor Jamieson, Onil Bhattacharyya, Danielle Martin, Muhammad Mamdani, Lianne Jeffs, Walter P. Wodchis, Noah M. Ivers, R. Sacha Bhatia

BMC Medical Informatics Decis. Mak., 2016

An empirical investigation of the evaluators' scoring of vendors' responses to an RFP of a large healthcare system.

Syed Shariyar Murtaza, Ayse Bener, Jeremy Petch, Muhammad Mamdani

Proceedings of the International Workshop on Software Engineering in Healthcare Systems, 2016

2014

A web-based intervention to support self-management of patients with type 2 diabetes mellitus: effect on self-efficacy, self-care and diabetes distress.

Catherine H. Yu, Janet A. Parsons, Muhammad Mamdani, Gerald Lebovic, Susan Hall, David Newton, Baiju R. Shah, Onil Bhattacharyya, Andreas Laupacis, Sharon E. Straus

BMC Medical Informatics Decis. Mak., 2014

2012

Designing and evaluating a web-based self-management site for patients with type 2 diabetes - systematic website development and study protocol.

Catherine H. Yu, Janet Parsons, Muhammad Mamdani, Gerald Lebovic, Baiju R. Shah, Onil Bhattacharyya, Andreas Laupacis, Sharon E. Straus

BMC Medical Informatics Decis. Mak., 2012