AIMC Topic: Patient Acceptance of Health Care
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Using Explainable Artificial Intelligence to Predict Potentially Preventable Hospitalizations: A Population-Based Cohort Study in Denmark.
Medical care
Feb 3, 2023
BACKGROUND: The increasing aging population and limited health care resources have placed new demands on the healthcare sector. Reducing the number of hospitalizations has become a political priority in many countries, and special focus has been dire...
Perceptions of the use of artificial intelligence in the diagnosis of skin cancer: an outpatient survey.
Clinical and experimental dermatology
Dec 23, 2021
BACKGROUND: Convolutional neural networks (artificial intelligence, AI) are rapidly appearing within the field of dermatology, with diagnostic accuracy matching that of dermatologists. As technologies become available for use by both the health profe...
Forecasting care seekers satisfaction with telemedicine using machine learning and structural equation modeling.
PloS one
Sep 24, 2021
Many individuals visit rural telemedicine centres to obtain safe and effective health remedies for their physical and emotional illnesses. This study investigates the antecedents of patients' satisfaction relating to telemedicine adoption in rural pu...
Rural Health Services
Adult
Hospitals, Public
Male
Middle Aged
Telemedicine
Surveys and Questionnaires
Patient Satisfaction
Rural Population
Bangladesh
Models, Statistical
Patient Acceptance of Health Care
Personal Satisfaction
Latent Class Analysis
Adolescent
Machine Learning
Forecasting
Female
Humans
Young Adult
Artificial Intelligence-Enabled Analysis of Public Attitudes on Facebook and Twitter Toward COVID-19 Vaccines in the United Kingdom and the United States: Observational Study.
Journal of medical Internet research
Apr 5, 2021
BACKGROUND: Global efforts toward the development and deployment of a vaccine for COVID-19 are rapidly advancing. To achieve herd immunity, widespread administration of vaccines is required, which necessitates significant cooperation from the general...
Implementing Medical Chatbots: An Application on Hidradenitis Suppurativa.
Dermatology (Basel, Switzerland)
Mar 19, 2021
BACKGROUND: The use of digital health resources is growing quickly as they are easily accessible and permit self-evaluation. Yet, research on consumer health informatics platforms is insufficient. Chatbots, interactive conversational platforms based ...
Comparison of Use of Health Care Services and Spending for Unauthorized Immigrants vs Authorized Immigrants or US Citizens Using a Machine Learning Model.
JAMA network open
Dec 1, 2020
IMPORTANCE: Knowledge about use of health care services (health care utilization) and expenditures among unauthorized immigrant populations is uncertain because of limitations in ascertaining legal status in population data.
Use of Deep Learning to Analyze Social Media Discussions About the Human Papillomavirus Vaccine.
JAMA network open
Nov 2, 2020
IMPORTANCE: Human papillomavirus (HPV) vaccine hesitancy or refusal is common among parents of adolescents. An understanding of public perceptions from the perspective of behavior change theories can facilitate effective and targeted vaccine promotio...
Exploring supervised machine learning approaches to predicting Veterans Health Administration chiropractic service utilization.
Chiropractic & manual therapies
Jul 17, 2020
BACKGROUND: Chronic spinal pain conditions affect millions of US adults and carry a high healthcare cost burden, both direct and indirect. Conservative interventions for spinal pain conditions, including chiropractic care, have been associated with l...
Assessment of utilization efficiency using machine learning techniques: A study of heterogeneity in preoperative healthcare utilization among super-utilizers.
American journal of surgery
Jan 27, 2020
INTRODUCTION: In the United States, 5% of patients represent up to 55% of all health care costs. This study sought to define healthcare utilization patterns among super-utilizers, as well as assess possible variation in patient outcomes.
Acceptability of artificial intelligence (AI)-enabled chatbots, video consultations and live webchats as online platforms for sexual health advice.
BMJ sexual & reproductive health
Jan 21, 2020
OBJECTIVES: Sexual and reproductive health (SRH) services are undergoing a digital transformation. This study explored the acceptability of three digital services, (i) video consultations via Skype, (ii) live webchats with a health advisor and (iii) ...
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