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Health informatics news

Oncology & Cancer

Rurality partly explains racial difference in distance to lung cancer screening, study suggests

Differences in distance to lung cancer screening (LCS) facilities by race and ethnicity are partly explained by rurality, according to a study published online Jan. 14 in the Annals of Internal Medicine.

Radiology & Imaging

Molecular breast imaging for supplemental breast screening

If you are one of the millions of women identified as having dense breasts, your health care team may recommend supplemental or additional screening to check your breasts for cancer.

Health informatics

AI tool assists doctors in sharing lab results

Stanford Medicine physicians have a new artificial intelligence tool to assist them when they message patients about test results. The technology drafts an interpretation of clinical test and lab results and explains them ...

Diseases, Conditions, Syndromes

AI analysis reveals four long COVID patient subgroups and needs

Across the United States, no hospital is the same. Equipment, staffing, technical capabilities, and patient populations can all differ. So, while the profiles developed for people with common conditions may seem universal, ...

Psychology & Psychiatry

New AI model helps predict veteran suicide risk

U.S. Army veteran suicides can be predicted with "moderate to good accuracy" by applying artificial intelligence (AI) to data available before veterans leave service, according to a new study led by Chris J. Kennedy at Massachusetts ...

Medical economics

Pandemic 'exacerbated NHS struggle to meet demand'

NHS Scotland must treat at least 20% more non-emergency hospital cases over the next three years to eliminate the backlog caused by the COVID-19 pandemic, according to new analysis involving the University of Strathclyde.

Oncology & Cancer

Using AI to predict the outcome of aggressive skin cancers

Artificial intelligence can determine the course and severity of aggressive skin cancers, such as Merkel cell carcinoma (MCC), to enhance clinical decision making by generating personalized predictions of treatment-specific ...