心脏科医生

There is a substantial literature that AF can be detected by AI-enabled PPG-based devices including the Apple Heart study (Assessment of Wristwatch-Based Photoplethysmography to Identify Cardiac Arrhythmias),103 WATCH-AF trial (Smartwatches for Detection of Atrial Fibrillation),106 and others.105 In 91 232 annotated ambulatory patch ECGs from 53 549 patients, Hannun et al107 used AI/ML to ECG-based devices to detect 12 rhythm classes with an F1 score superior to cardiologists (0.837 versus 0.78).

This revolution is not only enhancing the accuracy of diagnoses but also improving patient outcomes. From predictive analytics to personalized treatment plans, AI is transforming how cardiologists understand and treat heart conditions.

Artificial intelligence (AI)-enabled clinician alerts can significantly improve care for heart patients, according to new data presented at ACC.26 and simultaneously published in JACC.[1] The study’s authors found that patients were more likely ...

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Select participants may present their work and apply for travel or registration scholarships aimed at trainees and early-career professionals. INTENDED AUDIENCE The course is intended for cardiologists, critical care physicians, clinical investigators, computer scientists, data scientists, engineers, and other medical and computer professionals who are interested in a contemporary review of machine learning and its applications to medicine and specifically to cardiology.

Once views have been appropriately classified, AI has been proposed to automate the measurements and assessments with a particular focus on automating or expediting image segmentation tasks.58-63 These segmentation technologies may reduce the time needed for echocardiography technicians and cardiologists to make measurements such as LV wall thickness, atrial size, and LVEF.

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During the study, general cardiologists ... of AI-assisted and unassisted cardiologist assessments. In addition to having a subspecialist cardiologist summarize this feedback, we used Gemini 2.5 Pro to analyze the feedback from the general cardiologists (summary in ‘Analysis of general cardiologist feedback’, automated report in ...

Medical schools must also focus on training students to engage with AI systems not as passive users but as active participants in decision-making processes.11 In this way, the medical curriculum can foster a more holistic and integrated approach to AI, ensuring its responsible and effective use in the future of cardiology. ... The essential artificial intelligence-based educational components for cardiologists and medical students

Dashed line indicates random classifier. b, In a survey of ECGs shown to cardiologists to assess for the presence of SHD, the AI model demonstrated superior performance in SHD detection compared with cardiologists alone or cardiologists given the EchoNext risk score (n = 3,200 cardiologist interpretations).