Technology

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.

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.

Developments in artificial intelligence (AI) can help clinicians to diagnose thoracic conditions that may be miss on first glance.

Jill Feldman, cofounder and president, EGFR Resisters, shares the importance of being proactive in managing dermatologic toxicities in epidermal growth factor receptor (EGFR)–positive lung cancer.

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.

Cathy Eng, MD, FACP, FASCO, Vanderbilt-Ingram Cancer Center, speaks about the clinical and operational priorities that academic medical centers make front-and-center when caring for underserved populations receiving treatment for cancer.

Minimally invasive glaucoma surgery offers alternatives for patients looking for methods of treating glaucoma without affecting quality of life.

While artificial intelligence (AI) is transforming community oncology, Nini Wu, MD, of Navista, emphasizes that success depends on patient access and infrastructure.

The ALPHA3 trial is exploring cemacabtagene ansegedleucel's (cema-cel) potential to enhance outcomes in patients who have relapsed/refractory large B-cell lymphoma, particularly those positive for minimal residual disease.

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).

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.