Technology

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.

The 2026 V-BID Summit showcases strategies to make health care more affordable, equitable, and outcomes-driven.

A mock jury study suggests AI-assisted double reads may reduce perceived radiologist liability in malpractice cases.

A study of 46 million visits finds telemedicine remains above prepandemic levels, but older adults and minority groups are less likely to use virtual care.

A home blood pressure telemonitoring program effectively reduced blood pressure in real-world clinical settings, but program enrollment expenses increased overall costs.

Domain Adaptation leverages lymphoma EHRs to better predict infection risk from treatment-related immune suppression in CLL, boosting Matthews correlation coefficient.

A Cleveland Clinic study shows a medically trained AI system can rapidly screen electronic health records to identify eligible participants for rare disease clinical trials.

Bidisha Mandal, PhD, concluded her conversation with AJMC by emphasizing the need for policy support and further research to maximize telehealth's impact.

Food-insecure adults have fewer annual health visits but rely more on telehealth for primary care, lowering per-visit costs, says Bidisha Mandal, PhD.

AI-enabled coronary CT angiography reveals total plaque burden beyond calcium scores, improving risk prediction and personalizing cardiovascular prevention.

A Mississippi hospital partners with Eko Health to introduce AI-assisted cardiac detection in underserved rural communities.

Low-cost, scalable interventions can improve first-fill adherence, reduce avoidable hospitalizations, and support patient-centered strategies.

Phase 2 trial finds 5-day preoperative RT in high-risk STS shows comparable wound complication rates and acceptable toxicity.

A new study links telomere length genetics to IPF risk, showing how rare variants and polygenic scores may guide future screening and precision care.

A survey found many patients with long-term conditions prefer remote visits for results and refills, but some trade continuity for faster care.

A deep-learning serial CT response score outperformed conventional imaging measures in predicting OS for patients with advanced NSCLC treated with ICIs.

City St. George’s researchers identified 9 genetic signatures and epigenetic changes driving lapatinib resistance in HER2-positive breast cancer.

Ateequllah Hayat, PhD, discusses epigenetic rewiring, biomarkers, and emerging strategies to overcome lapatinib resistance in HER2+ breast cancer.

Telomere length and polygenic risk independently influence IPF susceptibility, even among patients without rare genetic variants.