News

Developed by a Johns Hopkins-led research team, the Pancreatic Tumor Segmentation Dataset may be the key for training AI models to detect pancreatic cancer early enough to make a difference in patients' survival.

For more than half a century, Johns Hopkins has been a leader in converting federal support into tangible benefits for the American people—such as correcting maps of the human genome.

A conversation with Johns Hopkins computer scientist Suchi Saria, who is on a mission to augment human care with the latest in AI and machine learning technology.

A Johns Hopkins study reveals the strengths and pitfalls of incorporating chatbots into middle and high school classrooms as a “co-tutor.”

University roboticists explore future potential capabilities of global surgical robotics.

New research shows how ML methods can cut costs and save lives in clinical research.

The four-year R01 grant funds the development of an AI system to enhance the detection and monitoring of metastasis in colorectal cancer using patients’ CT scans.

Johns Hopkins scientists say a study that sequenced human cancers found far fewer microbial DNA sequences than earlier studies reported in the same cancer tissue samples.

Johns Hopkins researchers have created a new kind of voice assistant to help older adults manage their health.

Johns Hopkins researchers have developed a new method that uses existing radiology reports to train AI models to locate tumors on CT scans more quickly and accurately.

Johns Hopkins computer scientists release new findings and a specialized dataset for training robots to recognize specific object parts.

A new study from Johns Hopkins finds that multilingual AI privileges dominant languages, deepening divides rather than democratizing access to information.