Artificial Intelligence

Johns Hopkins experts in artificial intelligence span the interdisciplinary spectrum—from engineering to medicine, neuroscience to transportation and beyond. They work to ensure that the research and development of the rapidly evolving technology progresses ethically so that governments can formulate policies that advance the best interests of humanity.

Artificial intelligence developments at Johns Hopkins are already helping health care providers diagnose diseases earlier, conduct more precise operations, streamline patient experiences, and more.

Featured Experts

  • Rama Chellappa

    Bloomberg Distinguished Professor of Biomedical and Electrical Engineering

    AI pioneer Rama Chellappa is chief scientist at the Johns Hopkins Institute for Assured Autonomy. His work has had profound impacts on biometrics, smart cars, forensics, and 2D and 3D modeling of faces, objects, and terrain. See full profile

  • Suchi Saria

    John C. Malone Associate Professor, Department of Computer Science

    Suchi Saria uses sophisticated computer science and health data to help save lives by individualizing patient care. Her pioneering work centers on enabling new classes of diagnostic and treatment planning tools for health care. See full profile

  • Tinglong Dai

    Associate Professor of Operations Management and Business Analytics

    Tinglong Dai is a health care analytics expert who has closely focused on management and operations issues during the COVID-19 vaccine rollout. His research interests span across health care, marketing-operations interfaces, and human-AI interaction. See full profile

  • Ritu Agarwal

    William Polk Carey Distinguished Professor

    Ritu Agarwal is a pioneer in digital health research who is committed to social impact. Agarwal is an expert in the application of information technology, analytics, and artificial intelligence in health care. See full profile

The National Institute on Aging awarded a $20 million grant to an interdisciplinary team at Johns Hopkins to develop AI devices to improve the health of older adults and help them live independently for longer. The team includes members from the Whiting School of Engineering, the School of Medicine, the Carey Business School, and the School of Nursing.

Johns Hopkins recently announced a major new investment in data science and the exploration of artificial intelligence, one that will significantly strengthen the university’s capabilities to harness emerging applications, opportunities, and challenges presented by the explosion of available data and the rapid rise of accessible AI. At the heart of this interdisciplinary endeavor will be a new institute dedicated to the application, understanding, collection, and risks of data and the development of machine learning and artificial intelligence systems across a range of critical and emerging fields, from neuroscience and precision medicine to climate resilience and sustainability, public sector innovation, and the social sciences and humanities.

Related Research

Sepsis-detection AI has the potential to prevent thousands of deaths

Patients are 20% less likely to die of sepsis because of a new AI system developed at Johns Hopkins University that catches symptoms hours earlier than traditional methods, an extensive hospital study demonstrates.

The system scours medical records and clinical notes to identify patients at risk of life-threatening complications. The work, which could significantly cut patient mortality from one of the top causes of hospital deaths worldwide, is published in Nature Medicine and Nature Digital Medicine.

Robot performs first laparoscopic surgery without human assistance

A robot has performed laparoscopic surgery on the soft tissue of a pig without the guiding hand of a human—a significant step toward fully automated surgery on humans. Designed by a team of Johns Hopkins University researchers, the Smart Tissue Autonomous Robot, or STAR, is described in Science Robotics.

“Our findings show that we can automate one of the most intricate and delicate tasks in surgery: the reconnection of two ends of an intestine. The STAR performed the procedure in four animals and it produced significantly better results than humans performing the same procedure,” said senior author Axel Krieger, an assistant professor of mechanical engineering at Johns Hopkins’ Whiting School of Engineering.

Tax loopholes abound, but artificial intelligence could help shut them down

To eliminate tax loopholes that cost the federal government billions of dollars every year, tech and law experts are working together to create artificial intelligence that can find loopholes better than a legion of blue-chip tax accountants.

Though the task is daunting—a recent test with the tax code “completely baffled” ChatGPT—leaders of the Johns Hopkins University-based effort not only believe it’s doable, they worry a corporate-funded effort will beat them to the punch and use their own AI to find even more tax loopholes.

“The rules of the game are if you’re operating within the law, how you bend the law to save on taxes is OK,” said Benjamin Van Durme, a Johns Hopkins computer scientist specializing in AI who’s leading the effort. “It’s very difficult to predict all possible ways a law will work in the real world. The point of using AI is it could guess ahead before these laws get locked down.”

AI predicts if and when someone will experience cardiac arrest

A new artificial intelligence-based approach can predict if and when a patient could die of cardiac arrest. The technology, built on raw images of patient’s diseased hearts and patient backgrounds, significantly improves on doctor’s predictions and stands to revolutionize clinical decision making and increase survival from sudden and lethal cardiac arrhythmias, one of medicine’s deadliest and most puzzling conditions.

The work, led by Johns Hopkins University researchers, is detailed in Nature Cardiovascular Research.

“Sudden cardiac death caused by arrhythmia accounts for as many as 20% of all deaths worldwide and we know little about why it’s happening or how to tell who’s at risk,” said senior author Natalia Trayanova, a professor of biomedical engineering and medicine. “There are patients who may be at low risk of sudden cardiac death getting defibrillators that they might not need and then there are high-risk patients that aren’t getting the treatment they need and could die in the prime of their life. What our algorithm can do is determine who is at risk for cardiac death and when it will occur, allowing doctors to decide exactly what needs to be done.”

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Advances in artificial intelligence: Defining a new era

Johns Hopkins experts explore the latest developments in artificial intelligence, including AI language learning programs such as ChatGPT, disinformation campaigns, ethical concerns involving artificial intelligence, and AI in health care