Mayo Clinic Proceedings: Digital Health is an online-only, open access medical journal. Tweets represent opinions from the Editorial Board, not Mayo Clinic.
Joined September 2022
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311 Photos and videos
How accurate is the Apple Watch Series 10 in predicting VO2 max during exercise?
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Digital therapeutics interventions for anticoagulation management improve safety outcomes, particularly reducing major bleeding, and with greater monitoring intensity.
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This pilot study showed that computer-aided detection used on chest x-rays (CXR) has diagnostic value for pulmonary tuberculosis comparable with that of CXRs interpreted by trained radiologists.
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Digital perfusion platforms integrate real-time physiologic signals into continuous risk models, allowing early detection of hypoperfusion, metabolic imbalance, and organ stress, transitioning cardiac surgery toward a new paradigm
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Large language models are increasingly evaluated for clinical interpretation and decision-support tasks, but assuming that identical prompts and models yield comparable results across users may not hold true.
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Author video: Alanna Chamberlain, PhD, discusses an AI-ECG algorithm that was repurposed to predict heart failure with reduced ejection fraction in patients with atrial fibrillation.
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Digital perfusion platforms integrate real-time physiologic signals into continuous risk models, allowing early detection of hypoperfusion, metabolic imbalance, and organ stress, transitioning cardiac surgery toward a new paradigm
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Archana Reddy Bongurala, MD, was honored with a Mayo Clinic Proceedings: Digital Health highly cited author award for her article, "Transforming Health Care With Artificial Intelligence: Redefining Medical Documentation."
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AI in radiology has enabled earlier identification of problems, such as images no longer routing through the orchestration engine to the appropriate algorithm, minimizing potential disruption to the clinical practice.
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A promising solution to physician documentation burdens: Technology records audio from clinical encounters, extracts medical information from the transcribed dialog, and generates a structured clinical note.
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AI-enabled ambient scribes are here to stay; therefore a solid comprehension of their functionality and the corresponding adjustments to workflow practices is essential for achieving successful adoption.
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This pilot study showed that computer-aided detection used on chest x-rays (CXR) has diagnostic value for pulmonary tuberculosis comparable with that of CXRs interpreted by trained radiologists.
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To address the barriers to effectively incorporating AI into oncology care in sub-Saharan Africa with a sustainable impact, priorities must be set for AI implementation research.
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Digital therapeutics interventions for anticoagulation management improve safety outcomes, particularly reducing major bleeding, and with greater monitoring intensity.
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The initial data from the CREATE study provided insights about real-world utility of AI-enabled triage of incidental pulmonary nodules for follow-up.
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Author insights with Dr Sularz: Automated CT-derived body composition assessment may improve preoperative risk stratification and guide clinical decision-making in transcatheter aortic valve replacement candidates.
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Connected vehicles, sensor technologies, and clinically validated AI could evolve into a distributed infrastructure for predictive, preventive, and personalized health care, transforming commuting into an extension of care.
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This study focused on creating and validating a model for automated contrast detection and fine-grained renal contrast phase discrimination, combining deep learning and random forest regression techniques.
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Eliminating uncertainty in care seeking and advancing adoption of new virtual emergency and nonurgent care options, virtual triage and care referral offers a scalable, evidence-based solution for optimizing emergent and urgent care delivery.
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Author video: Incorporating baseline sleep measures from a wrist-worn activity monitor in machine learning models to improve the prediction of engagement with home-based pulmonary rehabilitation in patients with COPD.
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