Abstract technology background

Artificial Intelligence

Machine learning and AI-powered solutions have great potential to support busy health care providers. Malone researchers build better algorithms that help providers diagnose disease earlier, operate more precisely, streamline the patient experience, and more.

Researchers

Narges Ahmidi

Adjunct Assistant Research Scientist

Philippe Burlina

Principal Scientist, Intelligent Systems Center, Johns Hopkins Applied Physics Laboratory

Brian Caffo

Professor, Bloomberg School of Public Health

Rama Chellappa

Bloomberg Distinguished Professor of Electrical and Computer Engineering and Biomedical Engineering

Mark Dredze

John C. Malone Associate Professor of Computer Science

Gregory D. Hager

Director, Malone Center for Engineering in Healthcare

Chien-Ming Huang

John C. Malone Assistant Professor of Computer Science

Ferdinand Hui

Co-Director, Radiology Artificial Intelligence Lab (RAIL)

Tin Yan Alvin Liu

Assistant Professor of Ophthalmology, Johns Hopkins School of Medicine

Anand Malpani

Assistant Research Scientist, Department of Computer Science

Haris Sair

Co-Director, Radiology Artificial Intelligence Lab (RAIL)

Suchi Saria

John C. Malone Associate Professor of Computer Science

Mathias Unberath

Assistant Professor, Department of Computer Science

Swaroop Vedula

Assistant Research Professor

Archana Venkataraman

John C. Malone Assistant Professor of Electrical and Computer Engineering

Jeremy Waltson

Raymond and Anna Lublin Professor of Geriatric Medicine & Gerontology

Paul Yi

Co-Director, Radiology Artificial Intelligence Lab (RAIL)

Alan Yuille

Bloomberg Distinguished Professor of Cognitive Science and Computer Science

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