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Machine learning based prediction models for cardiovascular disease risk using electronic health records data: systematic review and meta-analysis.
Eur Heart J Digit Health
January 2025
School of Life Course & Population Sciences, King's College London, SE1 1UL London, UK.
Cardiovascular disease (CVD) remains a major cause of mortality in the UK, prompting the need for improved risk predictive models for primary prevention. Machine learning (ML) models utilizing electronic health records (EHRs) offer potential enhancements over traditional risk scores like QRISK3 and ASCVD. To systematically evaluate and compare the efficacy of ML models against conventional CVD risk prediction algorithms using EHR data for medium to long-term (5-10 years) CVD risk prediction.
View Article and Find Full Text PDFMental and Oral Health: A Dual Frontier in Healthcare Integration and Prevention.
Cureus
December 2024
Public Health Dentistry, Sri Ramaswamy Memorial (SRM) Kattankulathur Dental College and Hospital, Sri Ramaswamy Memorial Institute of Science and Technology (SRMIST), Chennai, IND.
Mental and oral health are interrelated, and problems in one area usually affect the other. This review discusses the complex relationships between oral and mental health, particularly the psychosocial challenges faced by individuals with mental health disorders in maintaining oral hygiene, including stigma, lack of access to care, and financial barriers. It also discusses how psychiatric conditions influence oral health, with regard to issues such as dry mouth, gum disease, and tooth decay, and how poor oral health can aggravate mental well-being.
View Article and Find Full Text PDFA Comprehensive Review on the Application of Artificial Intelligence for Predicting Postsurgical Recurrence Risk in Early-Stage Non-Small Cell Lung Cancer Using Computed Tomography, Positron Emission Tomography, and Clinical Data.
J Med Radiat Sci
January 2025
Department of Anatomy and Medical Imaging, Faculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand.
Introduction: Non-small cell lung cancer (NSCLC) is the leading cause of cancer-related mortality worldwide. Despite advancements in early detection and treatment, postsurgical recurrence remains a significant challenge, occurring in 30%-55% of patients within 5 years after surgery. This review analysed existing studies on the utilisation of artificial intelligence (AI), incorporating CT, PET, and clinical data, for predicting recurrence risk in early-stage NSCLCs.
View Article and Find Full Text PDFThe 2022 ADEA Climate Study in U.S. and Canadian Dental Schools and Allied Dental Programs: Methodological Considerations.
J Dent Educ
January 2025
Division of Pediatric Dentistry and Orthodontics, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA.
Objectives: From January 2020 to the end of August 2020, preliminary research gathered data about the need for and the feasibility of an ADEA-led joint Climate Study of dental schools and allied dental programs in the United States and Canada. Informed by these findings, the first ever ADEA-led joint Climate Study took place in 2022. The objectives of this manuscript were to describe the timeline of this climate study and provide information about its methodology, specifically about (a) who participated in this research, (b) what was assessed, (c) how the study was conducted, and (d) how the results were communicated.
View Article and Find Full Text PDFParent and Carer Experiences of Health Care Professionals' Communications About a Child's Higher Weight: a Qualitative Systematic Review.
JBI Evid Synth
January 2025
Health Sciences, Faculty of Social Sciences, Tampere University, Tampere, Finland.
Objective: The objective of this systematic review was to identify, critically appraise, and synthesize the best available qualitative evidence on parent and carer experiences of communications by health care professionals (HCPs) concerning children's higher weight.
Introduction: A child's higher weight can be a sensitive issue to discuss in health care, but successful communication with parents can increase parental compliance with treatment and improve overall family welfare. Public discourse on obesity has shifted in recent years and created pressure to change the way that weight is discussed in health care.
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