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Illustration of human lungs affected by coronavirus.

AI can now detect COVID-19 in lung ultrasound images

An automated detection tool developed by Johns Hopkins researchers could help ER doctors diagnose patients quickly and accurately.

Headshot of Bisi Bell.

Optica elects Muyinatu A. Lediju Bell as 2024 Fellow for innovations in photoacoustic imaging

The award acknowledges her pioneering contributions to photoacoustic imaging techniques and their applications for surgical guidance.

Four overlays of a simulated pelvic X-ray image. The top left has no overlay. The top right has anatomical landmarks labeled. The bottom left shows semantic segmentation annotations for the bones and orthopedic hardware. The bottom right are more specific segmentations for bony corridors that the procedure is targeting.

X-ray vision: Tech could improve efficiency of pelvic fracture surgery

Johns Hopkins researchers harness the power of machine learning to develop a first approach to X-ray-guided surgical phase recognition.

African American male patient during ultrasound thyroid gland examination at the clinic.

Medical imaging fails dark skin. Researchers fixed it.

A Johns Hopkins University-led team found a way to deliver clear pictures of anyone's internal anatomy, no matter their skin tone.

Positioning of the robot end effector and neuroendoscope in relation to a head phantom for robot-assisted 3D neuroendoscopy.

Navigational technology used in self-driving cars aids brain surgery visualization

Johns Hopkins researchers demonstrate the promise of “augmented endoscopy,” a real-time neurosurgical guidance method that uses advanced computer vision techniques.

Headshot of Muyinatu A. Lediju Bell.

Muyinatu Bell awarded $1.5 million NIH grant

John C. Malone Associate Professor of Electrical and Computer Engineering Muyinatu A. Lediju Bell has received a four-year, $1.5 million R01 grant from the National Institutes of Health to develop new technology for photoacoustic-guided hysterectomies in an effort to make the procedures safer via informative, real-time feedback.