As health care systems seek innovative solutions, virtual care providers have emerged as critical partners in expanding access, enhancing continuity, and supporting transitions across the health care continuum.
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Implantable cardioverter-defibrillators continuously monitor cardiac rhythm and deliver therapy automatically; their acceptance provides a useful lens for understanding how agentic clinical AI may be safely introduced into health care environments.
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The absence of Federally Qualified Health Centers pathology data from cancer AI is a structural gap with scientific and clinical consequences.
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The lack of clear legal rules governing artificial intelligence medical products market safety creates uncertainty that also impacts the development and uptake of beneficial AMPs.
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Making domain-specific natural language processing models for gastroenterology more efficient and scalable by leveraging knowledge distillation to assist in interpreting complex clinical documentation.
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The development of structured communication tools is a targeted way to support the consultation challenges specific to rural health care systems.
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These findings suggest that motor impairment is an important symptom of preclinical dementia in women.
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AI analysis of the electrocardiographic has emerged as a pragmatic way to surface patients with unrecognized aortic stenosis, showing modest correlation with CT-measured calcific burden, particularly in the setting of irregular rhythm.
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The future of cardiac surgery does not belong to intraoperative AI alone, nor does it belong to surgical teams that resist digital integration.
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Digital health interventions should a provisional process between designers and the people the DHI is built to serve, providing a framework that integrates the science of behavior change and effective management.
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Dr Farah-Ligout and her co-authors received a Highly Cited Author Award for their article, "Assessment of Performance, Interpretability, and Explainability in Artificial Intelligence-Based Health Technologies: What Healthcare Stakeholders Need to Know."
mcpdigitalhealth.org/farah
This review demonstrated that AI algorithms show promise as supportive tools for pelvic fracture detection, achieving diagnostic performance comparable to expert clinicians.
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Mayo Clinic Proceedings: Digital Health received its first impact factor of 5.0. Impact factor is a measure of a journal's scholarly influence, calculated from the average number of citations received by its recent articles.
mcpdigitalhealth.org/current
Implantable brain–computer interfaces will require the same combination of rigorous trials, relentless engineering, and pragmatic service design that ultimately made deep brain stimulation a standard-of-care in Parkinson disease.
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Mobile health interventions reduce opioid and nonopioid medication use and improve adherence in adults with chronic pain.
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By enabling proactive, data informed staffing and resource allocation, ED surge prediction models have the potential to improve patient flow, reduce wait times, and enhance overall operational efficiency.
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Using Smartphone-derived movement data, this study demonstrated that most patients experience a satisfactory recovery in step count, but not in step length and speed, 12 months after an ankle fracture.
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Mayo Clinic Proceedings: Digital Health received its first impact factor of 5.0. Impact factor is a measure of a journal's scholarly influence, calculated from the average number of citations received by its recent articles.
mcpdigitalhealth.org/current
Clinicopathologic clusters may help inform early diagnostic prioritization and therapeutic consideration, supporting the role of renal biopsy in providing pathogenic insight in renal thrombotic microangiopathy.
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What began as a conceptual framework within systems biology has evolved into an evidence-based digital ecosystem increasingly defined by accountability, transparency, and social alignment.
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