AI Medical Compendium Topic

Explore the latest research on artificial intelligence and machine learning in medicine.

Health Services Accessibility

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Factors Associated with HIV Viral Suppression Among Transgender Women in Lima, Peru.

LGBT health
PURPOSE: Globally, transgender women (TGW) experience a high burden of adverse health outcomes, including a high prevalence of HIV and sexually transmitted infections (STIs) as well as psychiatric disorders and substance use disorders. To address gap...

Digital Mental Health - Innovations in Consumer Driven Care.

Nursing leadership (Toronto, Ont.)
Barriers such as stigma and access issues prevent 60% of Canadians with mental health issues from seeking help. Saint Elizabeth Health Care's IntelligentCareâ„¢ Platform supports a range of digital health solutions for holistic health including three s...

Cancer Care Access and Outcomes for American Indian Populations in the United States: Challenges and Models for Progress.

Seminars in radiation oncology
Low socioeconomic and health care access realities of being American Indian/Alaskan Native (AI/AN) in the United States combined with decades of data documenting poor cancer outcomes for this population provide a population nested within the United S...

Ubiquitous Multicriteria Clinic Recommendation System.

Journal of medical systems
Advancements in information, communication, and sensor technologies have led to new opportunities in medical care and education. Patients in general prefer visiting the nearest clinic, attempt to avoid waiting for treatment, and have unequal preferen...

Master clinical medical knowledge at certificated-doctor-level with deep learning model.

Nature communications
Mastering of medical knowledge to human is a lengthy process that typically involves several years of school study and residency training. Recently, deep learning algorithms have shown potential in solving medical problems. Here we demonstrate master...

Can Artificial Intelligence Make Screening Faster, More Accurate, and More Accessible?

Asia-Pacific journal of ophthalmology (Philadelphia, Pa.)
Diabetic retinopathy, glaucoma, and age-related macular degeneration are leading causes of vision loss and blindness worldwide. They tend to be asymptomatic in the early phase of disease and therefore require active screening programs to identify the...

Machine learning without borders? An adaptable tool to optimize mortality prediction in diverse clinical settings.

The journal of trauma and acute care surgery
BACKGROUND: Mortality prediction aids clinical decision making and is necessary for quality improvement initiatives. Validated metrics rely on prespecified variables and often require advanced diagnostics, which are unfeasible in resource-constrained...