Technology

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.

With potential lung cancer nodules sometimes slipping through the cracks, educating stakeholders about artificial intelligence (AI) that can catch nodules early could be helpful in cancer treatment.

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.

First part of a 2-part interview with Stephen Strickland, MD, MSCI, director of leukemia research for Sarah Cannon Research Institute. Strickland recently presented data from a phase 1 trial of SENTI-202, an investigational chimeric antigen receptor (CAR) natural killer (NK) cell therapy.

Despite similar scores on an aggression risk evaluation tool in a pediatric emergency department, Black youths were significantly more likely to be labeled with a high aggression risk behavioral health flag in their electronic health records compared with White youths.

This study compared 6 algorithmic fairness–improving approaches for low-birth-weight predictive models and found that they improved accuracy but decreased sensitivity for Black populations.

A community-based remote patient monitoring (RPM) program was associated with significant reduction in blood pressure in Medicare patients with stage 2 hypertension, highlighting the potential benefits of RPM with care coaching.

Asembia’s AXS25 Summit covered a variety of relevant topics in the pharmaceutical industry, from the effects of the new administration to how artificial intelligence (AI) is reshaping the patience experience.

Discover how technological advancements and social factors impact cardiovascular care, LGBTQ+ health disparities, and cancer research at AACR 2025.

The 2025 Community Oncology Conference empowered attendees with insights on advocacy, innovation, and practical strategies for enhancing community cancer care.

Timely outpatient telepsychiatry care for Medicaid enrollees was associated with lower hospitalization rates and comparable overall costs, supporting its potential role in value-based care models.

Coverage of our peer-reviewed research and news reporting in the health care and mainstream press.

Experts at the Community Oncology Conference discuss innovative patient navigation programs, emphasizing technology's role and the importance of human connection in cancer care.