Technology

Digital health technologies enhance respiratory care through decentralized clinical trials and home monitoring, expanding access and improving patient engagement.

A recent study outlines how artificial intelligence advancements are transforming research and therapeutic strategies for idiopathic pulmonary fibrosis.

Artificial intelligence (AI) holds the potential to democratize precision oncology, but it must be implemented thoughtfully.

Broader integration of artificial intelligence (AI) in precision oncology depends on overcoming barriers such as trust and transparency, according to Davey Daniel, MD.

Oncology utilization management often frustrates patients and payers, but collaboration and artificial intelligence can streamline processes and improve care quality, according to Vishnukamal Golla, MD, MPH.

As therapeutic advances enable patients with cancer to live longer, greater attention is needed to support the goal of survivorship, starting at diagnosis.

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.

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.