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The program works by embedding Medbridge’s Pathways platform into Marathon’s MoveWell MSK program and advanced primary care model.

Researchers found that even smaller open artificial intelligence (AI) models outperformed clinicians, supporting automation of International Classification of Disease (ICD) coding.

Explore cutting-edge discussions on patient-centered oncology, value-based care, AI innovations, and survivorship strategies Thursday and Friday at PCOC 2025 in Nashville.

Laxmi Patel explains how Medicaid reforms could increase uncompensated care and the burden on hospitals, and how technology can help automate workflows.

The adoption of technologies like telehealth and health information exchange increased over time, but hospitals in the most disadvantaged areas were behind.

Remote patient monitoring enhances cancer care by improving outcomes and reducing emergency visits, despite challenges in reimbursement and technology access.

DeepSeek-R1 was able to improve diagnosis management in these subspecialties while also lowering operation costs.

Maintaining eye health through regulating use of technology and attending annual checkups are an important aspect of children’s health as the school year approaches.

There are many types of vaccine technologies, and this article will explore a diverse set that includes attenuated live pathogens and toxoid vaccines, highlighting their mechanisms, benefits, and limitations.

A clinical trial assessing a remote weight loss intervention in women with breast cancer saw a reduction in body weight.


In this study, total flares were investigated for their propensity to predict atopic dermatitis disease severity among adult patients.

A new TIAA Institute report says solving workforce shortages with smarter hiring, training, and artificial intelligence could ease the rising demand for care from an aging population.

Explore how payers and providers collaborate to enhance value-based care, tackle rising costs, and improve patient outcomes in today's health care landscape.

A novel image-based deep learning approach achieves high accuracy and interpretability, offering potential for clinical decision support.

Artificial intelligence (AI) and socioeconomic factors enhance risk stratification for patients with acute myeloid leukemia (AML) post transplant, aiming to reduce hospital readmissions and disease progression.

A new partnership delivers a scalable Fast Healthcare Interoperability Resources solution to help payers meet CMS' Interoperability and Prior Authorization Final Rule by 2027.

A new report from Bluesight reveals how automation and analytics are helping hospital pharmacy teams cut spending, manage shortages, and streamline procurement.

Personalized expert instruction informed by artificial intelligence (AI) data improved surgical performance and skill transfer more effectively than AI feedback alone in a randomized trial.

Digital patient profiles and expansive real-world data are reshaping oncology clinical trials, explained Gen Li, PhD, MBA, president and founder of Phesi.

Khush Kharidia, MD, a third-year internal medicine resident at UT Southwestern, presented the oral abstract, “Evaluating the Quality, Accuracy and Health Impact of Cholesterol-Related Content on TikTok: A Social Media Analysis,” at ASPC 2025 Congress on CVD Prevention.

Language models and wearable devices are just 2 means of improving the practice of preventive cardiology.

Large language models (LLMs) such as GPT-3.5 and GPT-4 may offer a solution to the costly and inefficient process of manual clinical trial screening, which is often hindered by the inability of structured electronic health record data to capture all necessary criteria.

The study aims to build an accurate, interpretable model for stage III colorectal cancer prognosis.

Hadar Avihai Lev-Tov, MD, asserts that advancements in teledermatology and artificial intelligence (AI)–powered diagnostic tools are crucial for improving health care efficiency and patient access within managed care.