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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.

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.

Although artificial intelligence (AI) is quickly becoming a tool used in health care, the human aspect of health care is still necessary for continued care.

State governments must have budgetary and regulatory flexibility to support health care innovation, says State Sen Vincent Polistina (R, New Jersey).

The potential of health care technology has been disconnected from patients, making those innovations barriers rather than means of improving access and communication.

A digital asthma self-management program enhanced symptom control; however, it revealed racial disparities in engagement, highlighting the need for culturally tailored interventions.

Flatiron Health expands its international oncology research network, enhancing real-world data use to improve patient outcomes and cancer care globally.

There is a great need to streamline the process from the tissue sample to the diagnostic lab, whether it's genomic or immunohistochemistry, Robert Kratzke, MD, says.

CMS Administrator Mehmet Oz, MD, MBA, visited AtlantiCare leaders in Atlantic City, New Jersey, to discuss the need for legislative and regulatory reform, as well as the $50 billion Rural Transformation Program.

ASCO President Robin Zon, MD, FACP, FASCO, emphasizes how AI solutions and advocacy in enhancing cancer care, ensuring equitable access to innovative treatments for all patients.

Artificial intelligence (AI) transforms oncology by enhancing clinical decision-making, improving patient outcomes, and shaping future health care training, as discussed by experts at Tennessee Oncology's “Tech Innovations in Community Oncology."

During the “Tech Innovations in Community Oncology” meeting from Tennessee Oncology, oncologists explore artificial intelligence (AI) tools like DeepScribe to enhance documentation efficiency, reduce burnout, and improve patient engagement in clinical settings.

Participants performed touchscreen-based reaching tasks while wearing wireless motion sensors, which recorded linear acceleration, angular velocity, and roll-pitch-yaw orientation at millisecond resolution.

Artificial intelligence (AI) transforms oncology by enhancing decision-making, improving patient care, and streamlining operations, while addressing challenges in data accuracy and equity, said speakers at the Tennessee Oncology “Tech Innovations in Community Oncology."

Tyler Sandahl, PharmD, a clinical pharmacist at Mayo Clinic, discussed the complexities of alternative payment models for chimeric antigen receptor T-cell and bispecific therapies and the need for improved data sharing in cancer care.