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Johns Hopkins researchers successfully taught an AI simulation to close incisions by breaking the complicated suturing process down into simpler subtasks.

A new study by Hopkins researchers finds that doctors’ diagnostic performance and trust in AI advice depends on how the AI assistant explains itself.

A team led by Johns Hopkins researchers has created a mathematical model that explores how humans make decisions when they are unsure about outcomes.

Federal funding is enabling biomedical engineer Jamie Spangler and her team at Johns Hopkins to develop innovative treatments for autoimmune disorders, cancer, and other complex diseases.

New tool could advance research on fertility, cancer, and more.

Created by Johns Hopkins researchers, EpiScalp could significantly reduce false positives and spare patients from medication side effects, driving restrictions, and other quality-of-life challenges linked to misdiagnoses

The team is examining the connection between climate phenomena and sovereign debt to better inform investment strategies and policy

With support from the National Institutes of Health, Johns Hopkins researchers work with communities to determine how pollutants and other environmental factors affect human biology and may lead to disease

Johns Hopkins researchers used artificial intelligence to create the largest, most comprehensive dataset of abdominal organs to date to help radiologists quickly and accurately identify tumors and other diseases.

New imaging technique offers an unprecedented look at astrocytes and their role in health and disease

Assistant Professor Thomas Gernay says fire-resistant building designs are key to protecting communities from increasingly destructive wildfires.

Innovation could accelerate research into how HIV affects memory and thinking