Abstract technology background

Machine Learning and 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

Narges Ahmidi

Adjunct Assistant Research Scientist
Philippe Burlina

Philippe Burlina

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

Brian Caffo

Professor, Bloomberg School of Public Health
Mark Dredze

Mark Dredze

John C. Malone Associate Professor of Computer Science
Greg Hager

Gregory D. Hager

Director, Malone Center for Engineering in Healthcare
Chien-Ming Huang

Chien-Ming Huang

John C. Malone Assistant Professor of Computer Science
Ferdinand Hui

Ferdinand Hui

Co-Director, Radiology Artificial Intelligence Lab (RAIL)
Tin Yan Alvin Liu

Tin Yan Alvin Liu

Assistant Professor of Ophthalmology, Johns Hopkins School of Medicine
Anand Malpani

Anand Malpani

Assistant Research Scientist, Department of Computer Science
Haris Sair

Haris Sair

Co-Director, Radiology Artificial Intelligence Lab (RAIL)
Suchi Saria

Suchi Saria

John C. Malone Associate Professor of Computer Science
Mathias Unberath

Mathias Unberath

Assistant Professor, Department of Computer Science
Swaroop Vedula

Swaroop Vedula

Assistant Research Professor
Archana Venkataraman

Archana Venkataraman

John C. Malone Assistant Professor of Electrical and Computer Engineering
Paul Yi

Paul Yi

Co-Director, Radiology Artificial Intelligence Lab (RAIL)
Alan Yuille

Alan Yuille

Bloomberg Distinguished Professor of Cognitive Science and Computer Science

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Radiology AI Lab (RAIL)

RAIL is an open structured artificial intelligence focused research collaboration based in the Hopkins Department of Radiology and Radiological Sciences. The......

Related News

July 21, 2020

In a new course offered by computer scientist Mathias Unberath, engineering students design AI systems that integrate seamlessly into human...... Read More