Technology

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.

In this conversation with Reuben Daniel, associate vice president of artificial intelligence at UPMC Health Plan, we dive into how UPMC Health Plan builds trust with providers and members, discuss challenges of scaling AI effectively, and hear about concrete examples of AI's positive impact.

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.

Ravi Vij, MD, MBA, explains how insurance-related delays in CAR T approval slow treatment initiation, increase interim therapy costs, and contribute to patient burden.

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.

Clayton Irvine, PharmD, MBA, MS, discusses strategies to address payer-driven biosimilar and prior authorization challenges through integrated digital solutions, while advocating for flexible, regularly reviewed treatment pathways supported by molecular tumor boards and artificial intelligence to balance standardization with personalized, biomarker-driven oncology care.

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.

Varsha Tanguturi, MD, cardiologist and DETECT AS investigator, presented new data on how the findings she and her colleagues saw indicate almost universal increases in rates of aortic valve replacement in patients with severe aortic stenosis (AS), across both provider and patient groups.

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.

During a visit to AtlantiCare, CMS Administrator Mehmet Oz, MD, MBA, called for rural health systems to modernize IT infrastructure through the $50 billion Rural Transformation Fund, including through artificial intelligence (AI).