Technology

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.

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.

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

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.

The FDA introduced Elsa, an artificial intelligence (AI) tool intended to enhance efficiency in clinical reviews and scientific evaluations.

To mark the 30th anniversary of The American Journal of Managed Care (AJMC), each issue in 2025 includes a special feature: reflections from a thought leader on what has changed—and what has not—over the past 3 decades and what’s next for managed care. The June issue features a conversation with Melinda B. Buntin, PhD, a health economist and a Bloomberg Distinguished Professor at the Johns Hopkins Bloomberg School of Public Health and Carey Business School.

A novel machine learning model enhances colorectal cancer (CRC) prognosis and immunotherapy response prediction by integrating clinical data and immune gene expression.

Artificial intelligence (AI) can enhance insulin dosing accuracy for hospitalized patients with type 2 diabetes (T2D), improving glycemic control and streamlining physician workflows.

Lindsey Leininger, PhD, and Allister Chang, MPA, highlight the potential of laundromats as accessible, community-based settings to support Medicaid outreach, foster trust, and connect families with essential health and social services.

While multiple machine learning (ML) algorithms offered similar predictive performance, the cost-effective analysis revealed stark differences in the costs associated with their use.

People living with HIV who have taken highly active antiretroviral therapy can have hyperlipidemia predicted in advance by machine learning.

Proposed Medicaid cuts risk increasing health disparities, leaving millions uninsured and limiting access to essential care for vulnerable populations.

Study findings show ChatGPT-4o provides accurate, complete, and trustworthy responses to patient-generated colorectal cancer (CRC) screening questions.

Health technology navigators share perspectives on barriers to and facilitators of digital health access for older, linguistically diverse patients in a Los Angeles safety-net system.

Remote symptom monitoring in cancer care reduces hospitalizations, enhances value-based care, and supports diverse patient populations, according to new findings.

Larragem Raines, MS, of the Center for Innovation & Value Research, discusses the organization's major depressive disorder (MDD) open-source value model, dynamic pricing, and the future role of artificial intelligence in care.

Stephen Speicher, MD, and Kate Estep, from Flatiron Health, discuss the future of oncology care with artificial intelligence (AI).