AIMC Topic: Patient Compliance

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AI-Powered Analysis of Weight Loss Reports from Reddit: Unlocking Social Media's Potential in Dietary Assessment.

Nutrients Feb 27, 2025
: The increasing use of social media for sharing health and diet experiences presents new opportunities for nutritional research and dietary assessment. Large language models (LLMs) and artificial intelligence (AI) offer innovative approaches to anal...
Artificial Intelligence Female Adult Male Humans Social Media Self Report Patient Compliance Diet, Ketogenic Middle Aged Nutrition Assessment Weight Loss
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Finding Predictive Factors of Stabilization Exercise Adherence in Randomized Controlled Trials on Low Back Pain: An Individual Data Reanalysis Using Machine Learning Techniques.

Archives of physical medicine and rehabilitation Jan 3, 2025
OBJECTIVE: To identify predictors of adherence in supervised and self-administered exercise interventions for individuals with low back pain.
Female Adult Male Exercise Therapy Randomized Controlled Trials as Topic Low Back Pain Patient Compliance Humans Middle Aged Machine Learning Cohort Studies
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Optimizing the management of immune-related adverse events and survival in patients with thoracic cancer receiving immunotherapy through artificial intelligence (electronic patient-reported outcomes): The IMPATHI study.

Bulletin du cancer Dec 18, 2024
INTRODUCTION: The lung cancer continues to be the primary cause of cancer-related deaths, despite significant advancements in treatment through the introduction of immunological checkpoint inhibitors (ICI). These inhibitors, initially used as monothe...
Aged Aged, 80 and over Adult Artificial Intelligence Prospective Studies Female Lung Neoplasms Immunotherapy Thoracic Neoplasms Adenocarcinoma Male Middle Aged Immune Checkpoint Inhibitors Humans Patient Reported Outcome Measures Carcinoma, Non-Small-Cell Lung Patient Compliance Telemedicine
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Predicting Adherence to Computer-Based Cognitive Training Programs Among Older Adults: Study of Domain Adaptation and Deep Learning.

JMIR aging Sep 16, 2024
BACKGROUND: Cognitive impairment and dementia pose a significant challenge to the aging population, impacting the well-being, quality of life, and autonomy of affected individuals. As the population ages, this will place enormous strain on health car...
Male Quality of Life Deep Learning Cognitive Training Cognitive Dysfunction Patient Compliance Female Aged Humans Aged, 80 and over
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Using machine learning to unveil relevant predictors of adherence to recommended health-protective behaviors during the COVID-19 pandemic in Denmark.

Applied psychology. Health and well-being Jun 8, 2024
What were relevant predictors of individuals' proclivity to adhere to recommended health-protective behaviors during the COVID-19 pandemic in Denmark? Applying machine learning (namely, lasso regression) to a repeated cross-sectional survey spanning ...
Patient Compliance Health Behavior Young Adult Adult Cross-Sectional Studies Health Knowledge, Attitudes, Practice Denmark Male Middle Aged COVID-19 Female Humans Aged Machine Learning
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Artificial intelligence-based video monitoring of movement disorders in the elderly: a review on current and future landscapes.

Singapore medical journal Mar 26, 2024
Due to global ageing, the burden of chronic movement and neurological disorders (Parkinson's disease and essential tremor) is rapidly increasing. Current diagnosis and monitoring of these disorders rely largely on face-to-face assessments utilising c...
Artificial Intelligence Aged Patient Compliance Aging Movement Parkinson Disease Humans
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Socio-Economic Factors and Clinical Context Can Predict Adherence to Incidental Pulmonary Nodule Follow-up via Machine Learning Models.

Journal of the American College of Radiology : JACR Mar 8, 2024
OBJECTIVE: To quantify the relative importance of demographic, contextual, socio-economic, and nodule-related factors that influence patient adherence to incidental pulmonary nodule (IPN) follow-up visits and evaluate the predictive performance of ma...
Adult Male Middle Aged Solitary Pulmonary Nodule Patient Compliance Lung Neoplasms Socioeconomic Factors Machine Learning Incidental Findings Female Humans Aged
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Mammography Compliance for Arizona and New Mexico Hispanic and American Indian Women 2016-2018.

International journal of environmental research and public health Dec 22, 2023
Hispanic and American Indian (AI) women experience lower breast cancer incidence than non-Hispanic White (NHW) women, but later-stage diagnoses and lower survival rates, suggesting issues with screening and healthcare access. Between 1999-2015, NHW b...
New Mexico Mammography Humans Hispanic or Latino American Indian or Alaska Native Female Patient Compliance Arizona Breast Neoplasms
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Development of a national deep learning-based auto-segmentation model for the heart on clinical delineations from the DBCG RT nation cohort.

Acta oncologica (Stockholm, Sweden) Sep 15, 2023
BACKGROUND: This study aimed at investigating the feasibility of developing a deep learning-based auto-segmentation model for the heart trained on clinical delineations.
Deep Learning Image Processing, Computer-Assisted Heart Benchmarking Humans Patient Compliance
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Ethical Considerations of Using ChatGPT in Health Care.

Journal of medical Internet research Aug 11, 2023
ChatGPT has promising applications in health care, but potential ethical issues need to be addressed proactively to prevent harm. ChatGPT presents potential ethical challenges from legal, humanistic, algorithmic, and informational perspectives. Legal...
Patient Compliance Disclosure Humans Data Collection Reproducibility of Results Artificial Intelligence
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