AIMC Topic: Age Factors
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An Automatic AI-Based Algorithm That Grades the Scalp Surface Exfoliating Process From Video Imaging. Application to Dandruff Severity and Its Validation on Subjects of Different Ages and Ethnicities.
Journal of cosmetic dermatology
Apr 1, 2025
OBJECTIVES: To evaluate the technical assets of a new imaging device that, wifi linked to a AI based algorithm, automatically grades in vivo the exfoliating process of the skin, taking dandruff as model.
Leveraging Artificial Intelligence to Assess Perceived Age and Donor Facial Resemblance After Face Transplantation.
Annals of plastic surgery
Apr 1, 2025
PURPOSE: A major concern for patients undergoing facial transplantation relates to postoperative appearance. This study leverages artificial intelligence (AI) visual analysis software to provide an objective assessment of perceived age and degree of ...
Effects of artificial intelligence and virtual reality interventions in art therapy among older people with mild cognitive impairment.
Australasian journal on ageing
Mar 1, 2025
OBJECTIVES: Integrating artificial intelligence and virtual reality into an art health program, this study aimed to compare the effects of artificial intelligence (AI) intervention in art therapy, virtual reality (VR) intervention in art therapy and ...
Constructing a Predictive Model for Psychological Distress of Young- and Middle-Aged Gynaecological Cancer Patients.
Journal of evaluation in clinical practice
Feb 1, 2025
BACKGROUND: Cancer patients experience substantial psychological distress which causes the reduction of the quality of life. However, the risk of psychological distress has not been well predicted especially in young- and middle-aged gynaecological c...
Identifying high-dose opioid prescription risks using machine learning: A focus on sociodemographic characteristics.
Journal of opioid management
Jan 1, 2025
OBJECTIVE: The objective of this study was to leverage machine learning techniques to analyze administrative claims and socioeconomic data, with the aim of identifying and interpreting the risk factors associated with high-dose opioid prescribing.
Using machine learning to predict patients with polycystic ovary disease in Chinese women.
Taiwanese journal of obstetrics & gynecology
Jan 1, 2025
OBJECTIVE: With an estimated global frequency ranging from5 % to 21 %, polycystic ovary syndrome (PCOS) is one of the most prevalent hormonal disorders. There are many factors found to be related to PCOS. However, most of these researches used tradit...
AI Prediction for Post-Lower Blepharoplasty Age Reduction.
Aesthetic surgery journal
Nov 15, 2024
BACKGROUND: Aesthetic standards vary and are subjective; artificial intelligence (AI), which is currently seeing a boom in interest, has the potential to provide objective assessment.
Biomarker signatures associated with ageing free of major chronic diseases: results from a population-based sample of the EPIC-Potsdam cohort.
Age and ageing
May 11, 2024
BACKGROUND: A number of biomarkers denoting various pathophysiological pathways have been implicated in the aetiology and risk of age-related diseases. Hence, the combined impact of multiple biomarkers in relation to ageing free of major chronic dise...
Introducing a machine learning algorithm for delirium prediction-the Supporting SURgery with GEriatric Co-Management and AI project (SURGE-Ahead).
Age and ageing
May 1, 2024
INTRODUCTION: Post-operative delirium (POD) is a common complication in older patients, with an incidence of 14-56%. To implement preventative procedures, it is necessary to identify patients at risk for POD. In the present study, we aimed to develop...
Age-Specific Diagnostic Classification of ASD Using Deep Learning Approaches.
Studies in health technology and informatics
Oct 20, 2023
Autism Spectrum Disorder (ASD) is a highly heterogeneous condition, due to high variance in its etiology, comorbidity, pathogenesis, severity, genetics, and brain functional connectivity (FC). This makes it devoid of any robust universal biomarker. T...
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