Technology

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.

Sessions and posters at the 2025 European Hematology Association Congress evaluated the potential and real-world practices of using artificial intelligence (AI) to predict and improve outcomes for patients with hematological diseases.

The role that artificial intelligence (AI) and other technology can play in care delivery is growing, said Coral Omene, MD, PhD, of Rutgers Cancer Institute and RWJBarnabas Health.

Abstracts presented during the plenary session of the 2025 European Hematology Association (EHA) Congress spanned from novel drug regimens for myeloma and lymphoma to investigation of leukemias on the molecular and genetic levels.

An artificial intelligence (AI)-driven machine learning model was refined and validated internationally to accurately classify acute leukemia subtypes from routine laboratory data, according to Merlin Engelke, MS, offering a potential tool for improving diagnosis worldwide.

A new genomic testing algorithm enhances turnaround times for acute myeloid leukemia diagnostics, improving treatment decisions and patient care quality.

Artificial intelligence (AI) provides a major tool in the evolution of thoracic care, as clinicians work to catch lung cancer earlier to provide better prognosis.

Specialty televisits remain common in the Veterans Health Administration following the COVID-19 pandemic, suggesting they will remain an important ongoing care modality for many patients.