Mayo Clinic Proceedings: Digital Health is an online-only, open access medical journal. Tweets represent opinions from the Editorial Board, not Mayo Clinic.
Digital therapeutics interventions for anticoagulation management improve safety outcomes, particularly reducing major bleeding, and with greater monitoring intensity.
https://t.co/EdqV2CK5NS
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.
https://t.co/LOuHLhPuaC
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
https://t.co/uPfRaFezdR
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.
https://t.co/jOhrYYGDSo
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.
https://t.co/DI33mdrsfI https://t.co/BqdyP93oAz
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
https://t.co/uPfRaFezdR
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."
https://t.co/2nMN8x8XQZ
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.
https://t.co/U6rAvKR0sv
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.
https://t.co/z1cdtabRm3
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.
https://t.co/fkkEbFv8DW
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.
https://t.co/LOuHLhPuaC
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.
https://t.co/mWLXAOcNBV
Digital therapeutics interventions for anticoagulation management improve safety outcomes, particularly reducing major bleeding, and with greater monitoring intensity.
https://t.co/EdqV2CK5NS
The initial data from the CREATE study provided insights about real-world utility of AI-enabled triage of incidental pulmonary nodules for follow-up.
https://t.co/6fb84QcL26
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.
https://t.co/zkZQj9yBE5 https://t.co/i0hWgazM3a
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.
https://t.co/EHUYNf3RtZ
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.
https://t.co/HqtCoN0iiE
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.
https://t.co/uiJOdraHQW
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.
https://t.co/6vB3hS4Yeh https://t.co/HxjJL6QUjt