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The FDA received a malfunction report involving Accurhythm za420 (pause), made by Medtronic, inc.. It was reported that true pause episodes were rejected as false by the artificial intelligence (ai) algorithm. no patient complications have been reported as a result of this event.
The FDA received a malfunction report involving Linq ii¿ insertable cardiac monitor, made by Medtronic singapore operations. It was reported that true pause episodes were rejected as false by the artificial intelligence (ai) algorithm. it was further reported that the implantable cardiac monitor (icm) detected false ventricular tachycardia (vt) episodes. the icm remains in use. no patient complications have been reported as a result of this event.
Letter: Dr Roman Raczka says artificial intelligence can’t replace therapist-led care, even though it can offer benefits
Emergency departments (EDs) worldwide face increasing pressure to optimize triage processes amidst rising patient volumes and resource constraints. Artificial intelligence (AI) has emerged as a potential solution to enhance triage accuracy and efficiency, yet its real-world clinical impact remains inadequately characterized. We conducted a systematic review following Preferred Reporting Items f...
Background Medical history-taking is a core clinical skill; yet, traditional teaching methods face challenges. We developed an artificial intelligence–powered medical history-taking training and evaluation system (AMTES) and established its technical feasibility as an extracurricular resource. Evidence on whether such tools improve learning outcomes when voluntarily embedded in routine curricul...
Introduction and Objective: Artificial intelligence (AI)-powered diabetes management platforms integrating CGM technology represent a promising advancement in healthcare. This study evaluates the effectiveness of AI-integrated SDRMP platform in improving glycemic control. Methods: A 100-day retrospective study of 1752 individuals (1357 male, 395 female; mean age 50.22±11.33 years) assessed the...
A reasoning model reached 88.6% exact or near-exact accuracy on clinicopathological cases.
Error rates remain unevenly studied across demographic groups.
In image-heavy specialties with standardized, digitized data, AI has reduced diagnostic time dramatically.
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