Technology

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).

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.

Artificial intelligence (AI) will transform community oncology, addressing workforce shortages and reimbursement challenges while enhancing patient care and operational efficiency, discussed speakers at Tennessee Oncology's “Tech Innovations in Community Oncology."

Precision oncology has entered a new phase, as data sets mature and a new wave of tools emerges to help clinicians manage cancer care over time.

Artificial intelligence (AI)–based electrocardiogram interpretation (AI-ECG) detected left ventricular systolic dysfunction (LVSD) in patients with muscular dystrophy, a recent study found.

Smartphone-based home screening significantly boosts chronic kidney disease (CKD) diagnosis and follow-up care, enhancing patient engagement and treatment outcomes.

At 12 weeks, patients treated with ENV-101 showed statistically significant increases in lung volume compared with those receiving placebo.

Delivering value-based cancer care requires overcoming hurdles to access care and tailoring care that prioritizes the quality-of-life metrics the patient values, explained Coral Omene, MD, PhD.

Remote care reduced readmissions and improved functional outcomes in COPD in a recent study.

Merrill H. Stewart, MD, Ochsner Health, outlines the financial, logistical, and reimbursement barriers slowing the adoption of cardiac stress testing, but growing recognition of its long-term value could drive wider use.