Relying on the AI-powered chatbot for heart assessments could be "dangerous," researchers warn, but the technology may still be helpful in certain situations.
If a clinician you care about counts on AI to help make medical decisions, remind them: Tort law principles hold that doing so means risking liability should a patient sue over harm done.
Two advanced algorithms—one for CAC scores and another for segmenting cardiac chamber volumes—outperformed radiologists when assessing low-dose chest CT scans.
Researchers in Canada are working to develop AI models for diagnosing and treating mental illness. One application in their sights involves automated interpretations of brain scans.
When a virus mutates, the researchers explained, it can be benign or even make the virus less dangerous to humans. In this instance, however, many detected mutations have a significant chance of becoming more infectious strains of COVID-19.
More than half of Americans, 54%, have seen doctors remotely during the COVID crisis. However, some 48% might not touch telehealth again if their data were to get hacked during a telehealth-related breach.
Along with new or improved algorithmic applications for chest imaging, watch for word of an AI-powered breathalyzer and other diagnostic techno-weapons aimed at COVID. What they’ll all have in common is full-throated NIH support.
Relying on the AI-powered chatbot for heart assessments could be "dangerous," researchers warn, but the technology may still be helpful in certain situations.
Two advanced algorithms—one for CAC scores and another for segmenting cardiac chamber volumes—outperformed radiologists when assessing low-dose chest CT scans.
Dave Walker, senior director of revenue cycle, Radiology Associates of North Texas, explains how his practice uses artificial intelligence for revenue cycle management during the Radiology Business Management Association (RBMA) 2024 meeting.
![Advanced artificial intelligence (AI) models can evaluate cardiovascular risk in routine chest CT scans without contrast, according to new research published in Nature Communications.[1] In fact, the authors noted, the AI approach may be more effective at identifying issues than relying on guidance from radiologists. Representative non-contrast CT slices for two patients (left), with super-imposed segmentations (right). One artificial intelligence (AI) model was used to segment a cardiac mask.](/sites/default/files/styles/stack_views/public/2024-04/screen_shot_2024-04-23_at_10.44.32_am.png.webp?itok=vXt3hxDo)
