AIMC Topic: Health Services Accessibility
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Clinician-driven artificial intelligence in ophthalmology: resources enabling democratization.
Current opinion in ophthalmology
Sep 1, 2021
PURPOSE OF REVIEW: This article aims to discuss the current state of resources enabling the democratization of artificial intelligence (AI) in ophthalmology.
A Health Rights Impact Assessment Guide for Artificial Intelligence Projects.
Health and human rights
Dec 1, 2020
Editorial perspective September 2020 JVN issue.
Journal of vascular nursing : official publication of the Society for Peripheral Vascular Nursing
Sep 1, 2020
Artificial intelligence for diabetic retinopathy screening, prediction and management.
Current opinion in ophthalmology
Sep 1, 2020
PURPOSE OF REVIEW: Diabetic retinopathy is the most common specific complication of diabetes mellitus. Traditional care for patients with diabetes and diabetic retinopathy is fragmented, uncoordinated and delivered in a piecemeal nature, often in the...
Patient Perspectives on the Use of Artificial Intelligence for Skin Cancer Screening: A Qualitative Study.
JAMA dermatology
May 1, 2020
IMPORTANCE: The use of artificial intelligence (AI) is expanding throughout the field of medicine. In dermatology, researchers are evaluating the potential for direct-to-patient and clinician decision-support AI tools to classify skin lesions. Althou...
Early Detection of Cancer
Physician-Patient Relations
Biopsy
Interviews as Topic
Health Services Accessibility
Mass Screening
Observer Variation
Patient Acceptance of Health Care
Grounded Theory
Reproducibility of Results
Aged
Adult
Male
Middle Aged
Qualitative Research
Female
Melanoma
Skin Neoplasms
Humans
Artificial Intelligence
Howard Rodenberg Comments.
American journal of public health
Apr 1, 2020
Machine Learning and Medical Appointment Scheduling: Creating and Perpetuating Inequalities in Access to Health Care.
American journal of public health
Apr 1, 2020
Innovation technology in neurorehabilitation: introducing a hub and spoke model to avoid patient "migration" in Sicily.
Journal of health organization and management
Jan 20, 2020
PURPOSE: In the Italian National Health Service, hospital planning has been influenced by two aspects: patients' freedom to choose their healthcare provider and the equal distribution of centers spread throughout country. Unfortunately, while every I...
Satellite images and machine learning can identify remote communities to facilitate access to health services.
Journal of the American Medical Informatics Association : JAMIA
Aug 1, 2019
OBJECTIVE: Community health systems operating in remote areas require accurate information about where people live to efficiently provide services across large regions. We sought to determine whether a machine learning analyses of satellite imagery c...
Machine learning without borders? An adaptable tool to optimize mortality prediction in diverse clinical settings.
The journal of trauma and acute care surgery
Nov 1, 2018
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...
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