Technology

The COA Community Oncology Conference will tackle AI, the rollout of bispecifics and CAR T in the community setting, plus reimbursement, radiation oncology, and patient access strategies.

As physician shortages and burnout threaten the patient experience in oncology, The US Oncology Network works to scale solutions, including the use AI ambient scribes and other workflow fixes, as well as fostering self-care strategies.

Speakers at the NAACOS Spring 2026 Conference illustrated means of using technology in value-based care to implement preventive medicine.

The 5-year prediction of MS progression, defined by clinical and objective measurements, was possible with 2 machine learning tools.

Abby Kim, PharmD, delves into oncology trends, biomarker testing gaps, and evolving clinical pathways shaping precision care and treatment decisions.

The 2026 Regional Diabetes Summit is taking place from April 28 to 29, 2026, in Wilmington, Delaware.

An AMCP 2026 session emphasized the need to shift to workflow-integrated AI by 2030 and stressed the importance of governance, trust, and scalable implementation.

A recent study identified persistent myocardial fibroblast activation in patients with heart failure with reduced ejection fraction, with distinct patterns by etiology.

Value-based care in oncology: why CMS’ models have fallen short and how new partners can sustain navigation, symptom monitoring, and savings.

Rapid advances in precision oncology are exposing gaps in testing, treatment access, and care delivery, challenging managed care to keep pace.

Lalan Wilfong, MD, a medical oncologist well known for his work in practice transformation, said he looks forward to creating "something more or less from scratch."

Ultrasound AI models use radiomics and deep learning to predict DLBCL survival, enabling low-cost, noninvasive risk stratification.

Continuing conversations from last year, experts at the AAD Annual Meeting in Denver weighed the pros and cons of teledermatology and AI.

Evaluation of more than 65,000 trials and 350,000 investigator sites highlights significant exposure in oncology and late-stage development.

Lower actual wearable use was found in patients with multiple sclerosis (MS) despite comparable intentions to use the wearable technology.

This morning, experts delivered "short and sweet" updates on treatment strategies for common dermatologic conditions.

Experts at the 2026 AAD Annual Meeting explained that teledermatology helps dermatologists manage their workload and expand patient access beyond traditional in-person care.

James Song, MD, discusses the direction teledermatology is heading and how more inclusive clinical trials can improve outcomes for patients of color.

LLMs may improve pediatric clinical decision-making, but gaps in safety, accuracy, and pediatric-specific data remain.

The standards under this rule will save providers time on paperwork, letting them focus more on patients, says CMS Administrator Mehmet Oz, MD, MBA.

Explore FAQs on AI in radiology, including malpractice risk, liability, and how juror perceptions shape legal outcomes when AI is involved.

A study explores how AI-assisted double-reading in radiology may influence malpractice risk and jury decisions in clinical care scenarios.

Noah Greenspan, DPT, discusses how oxygen therapy, detailed evaluation, and trial-and-error approaches may help manage long COVID symptoms.

AI could reduce administrative burden, improve diagnosis, and streamline prior authorization—but it could also fuel care cascades, upcoding, and unsustainable spending.

Michael Bernstein, MD, discusses how AI-assisted radiology workflows affect liability, automation bias, and patient safety in diagnostic imaging.