How Photonics And Handheld Ultrasounds Are Transforming Medical Imaging
AI and capacitive micromachined ultrasonic transducer chips are making diagnostics faster and more accessible.| Semiconductor Engineering
AI and capacitive micromachined ultrasonic transducer chips are making diagnostics faster and more accessible.| Semiconductor Engineering
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 Malone Center for Engineering in Healthcare
New imaging research is offering detailed insights into the relationship between Alzheimer’s disease and abnormal accumulations of iron in the brain. The study confirms a distinct correlation between higher iron deposits in particular brain regions and rates of cognitive decline.| New Atlas
FDA 510(K) clearance received for first medical product based on our novel Flat Panel Source. We aim to transform medical radiology with affordable low-dose Point-of-Care 3D imaging to replace 2D X-ray; for quicker, more accurate diagnosis| Adaptix
The National Institutes of Health awarded Zhou and his team a four-year, $2.8 million R01 grant to develop an AI system to enhance the detection and monitoring of metastasis in colorectal cancer using patients’ CT scans. The post Zongwei Zhou awarded $2.8 million NIH grant appeared first on Johns Hopkins Malone Center for Engineering in Healthcare.| Johns Hopkins Malone Center for Engineering in Healthcare
Johns Hopkins researchers present the voice-controlled X-ray imaging system that earned a Best Paper Award at IPCAI 2025. The post Speak and your X-ray will be imaged appeared first on Johns Hopkins Malone Center for Engineering in Healthcare.| Johns Hopkins Malone Center for Engineering in Healthcare
