MCP Digital Health

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 bit.ly/4dnL8pU

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." bit.ly/3Plsp6h

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. bit.ly/4tZf5DI

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. bit.ly/3R6K9mt

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. bit.ly/4eiiM2y

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. bit.ly/3R89iNu

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. bit.ly/4e3nFMN

Digital therapeutics interventions for anticoagulation management improve safety outcomes, particularly reducing major bleeding, and with greater monitoring intensity. bit.ly/3QqQQj0

The initial data from the CREATE study provided insights about real-world utility of AI-enabled triage of incidental pulmonary nodules for follow-up. bit.ly/4sIPc9J

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. bit.ly/4syloNa youtube.com/watch?v=_TLWW7…

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. bit.ly/4mnB0Bv

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. bit.ly/4mgDr8Y

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. bit.ly/4sQN94j

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. bit.ly/4to4MIE youtube.com/watch?v=wqCfu4…

Digital Health News--According to a study published in Mayo Clinic Proceedings: Digital Health, a machine learning model used wearable data to predict patient participation in a remote pulmonary rehabilitation program. bit.ly/4bQc94A digitalhealthnews.com/mayo-clinic-st…

Becker's Hospital Review--a report published in Mayo Clinic Proceedings: Digital Health analyzed wearable-derived sleep measures to improve machine learning models predicting participation in home-based pulmonary rehabilitation. bit.ly/4v1PMlr beckershospitalreview.com/healthcare-inf…

A continuous clinical service model is an ongoing collaboration ensuring that AI research addresses pressing, well-defined clinical challenges rather than implementing technology for technology’s sake. bit.ly/4s1cY0w

Mayo Clinic New Network -- Research published in Mayo Clinic Proceedings: Digital Health reports sleep data captured with a wearable device could help clinicians better tailor care by identifying patients with chronic obstructive pulmonary disease (COPD). mayocl.in/3NZ0Dfg

This survey of women’s attitudes toward artificial intelligence in breast screening found generally high acceptability across two use cases, with over 70% finding the concept somewhat or very acceptable. bit.ly/4sBmJ6G

The integration of technological innovation in medicine must prioritize patient outcomes over metrics, restore narrative integrity to clinical practice, and prepare clinicians to act as ethical leaders in an era of accelerating automation. bit.ly/4d18MKp