AI Tool Launches to Help Radiologists Read Breast MRI
The CE- and UKCA-marked software automatically highlights suspicious lesions and generates structured findings for screening and diagnostic exams.
The CE- and UKCA-marked software automatically highlights suspicious lesions and generates structured findings for screening and diagnostic exams.
Single-shot cine MRI reduced artifacts and matched conventional measurements in ventricular function assessment.
Stanford researchers have developed MUSK, an AI model that integrates visual and language data to improve cancer prognosis and treatment guidance, outperforming conventional methods in accuracy and versatility.
Allie Zhang, senior product manager at Concord Technologies, discusses the impact of cloud fax in healthcare with AXIS Imaging News. She highlights its role in streamlining workflows, enhancing interoperability, and boosting efficiency, while sharing insights on implementation strategies, customization challenges, and real-world use cases.
A team of engineers at the University of California, San Diego, has developed a wearable, stretchable, ultrasonic array that can non-invasively and serially map the mechanical properties of deep human tissues, providing crucial information for the progression of diseases.
A new study highlights cybersecurity and privacy risks in healthcare extended reality (XR) applications, noting a lack of research, with information disclosure being a major threat, and calls for further studies and robust security measures in clinical settings.