AIMC Topic: Health Services Accessibility

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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...

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...

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...

Patterns in GP appointment systems: a cluster analysis of 3480 English practices.

The British journal of general practice : the journal of the Royal College of General Practitioners
BACKGROUND: In response to increasing demand for appointments, UK general practices have adopted a range of appointment systems. These systems vary widely in implementation. These changes have not yet been clearly described.

Leveraging Artificial Intelligence for Digital Symptom Management in Oncology: The Development of CRCWeb.

JMIR cancer
Digital health interventions offer promise for scalable and accessible health care, but access is still limited by some participatory challenges, especially for disadvantaged families facing limited health literacy, language barriers, low income, or ...

Regulation of artificial intelligence in Uganda's healthcare: exploring an appropriate regulatory approach and framework to deliver universal health coverage.

International journal for equity in health
BACKGROUND: Uganda, like other United Nations (UN) member states, has undertaken to achieve Universal Health Coverage (UHC) by 2030 in line with Sustainable Development Goal (SDG) 3 targets. However, if this target is to be achieved, efforts will nee...

Identifying Key Factors Associated with Assistive Technology Availability for Dementia Care Using Machine Learning.

Studies in health technology and informatics
This study explores the factors influencing the availability of assistive technology for people with dementia through the application of machine learning. The analysis identified key factors, including carer support, protective legislation, and acces...

Expectations of healthcare AI and the role of trust: understanding patient views on how AI will impact cost, access, and patient-provider relationships.

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVES: Although efforts to effectively govern AI continue to develop, relatively little work has been done to systematically measure and include patient perspectives or expectations of AI in governance. This analysis is designed to understand pa...