Thai Hau Koo, Xue Bin Leong, Jet Kwan Ng, Nicholas Kay Beng Tan, Mafauzy Mohamed
{"title":"远程医疗和人工智能驱动的肥胖管理方法的新趋势:一个新的视角。","authors":"Thai Hau Koo, Xue Bin Leong, Jet Kwan Ng, Nicholas Kay Beng Tan, Mafauzy Mohamed","doi":"10.21315/mjms-08-2024-614","DOIUrl":null,"url":null,"abstract":"<p><p>One in eight people globally, prevalent mainly in some ethnic groups and those from low socioeconomic backgrounds, is a critical global health challenge of obesity. The telehealth system would be valuable in arresting obesity, with better access to care and a supporting digital community that encourages regular practice of physical activities, healthy diets, and health monitoring, all within reach and at affordable prices. Digital health interventions such as telehealth, mHealth applications, and wearable devices are new modalities for the treatment of obesity that increase monitoring of energy expenditure, physical activity level, and caloric intake. These technologies enhance the possibilities of therapy against barriers, such as maintaining motivation and improving the diet. This review summarises current evidence regarding digital health interventions for obesity management by considering and evaluating various global digital strategies to reduce obesity. The literature emphasises the effectiveness of eHealth interventions toward weight loss and maintenance. Furthermore, artificial intelligence (AI) and Information and Communications Technology (ICT) can predict and prevent paediatric obesity. By contrast, virtual reality (VR) applications can determine real-world behaviour in clinical practice. These digital interventions could increase the reach and efficacy of traditional weight management programmes by becoming more embedded in clinical practice. However, because of their broad implementation across different clinical settings, concerns regarding the security and privacy of these technologies must be addressed.</p>","PeriodicalId":47388,"journal":{"name":"Malaysian Journal of Medical Sciences","volume":"32 1","pages":"26-34"},"PeriodicalIF":1.1000,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12097168/pdf/","citationCount":"0","resultStr":"{\"title\":\"Emerging Trends in Telehealth and AI-Driven Approaches for Obesity Management: A New Perspective.\",\"authors\":\"Thai Hau Koo, Xue Bin Leong, Jet Kwan Ng, Nicholas Kay Beng Tan, Mafauzy Mohamed\",\"doi\":\"10.21315/mjms-08-2024-614\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>One in eight people globally, prevalent mainly in some ethnic groups and those from low socioeconomic backgrounds, is a critical global health challenge of obesity. The telehealth system would be valuable in arresting obesity, with better access to care and a supporting digital community that encourages regular practice of physical activities, healthy diets, and health monitoring, all within reach and at affordable prices. Digital health interventions such as telehealth, mHealth applications, and wearable devices are new modalities for the treatment of obesity that increase monitoring of energy expenditure, physical activity level, and caloric intake. These technologies enhance the possibilities of therapy against barriers, such as maintaining motivation and improving the diet. This review summarises current evidence regarding digital health interventions for obesity management by considering and evaluating various global digital strategies to reduce obesity. The literature emphasises the effectiveness of eHealth interventions toward weight loss and maintenance. Furthermore, artificial intelligence (AI) and Information and Communications Technology (ICT) can predict and prevent paediatric obesity. By contrast, virtual reality (VR) applications can determine real-world behaviour in clinical practice. These digital interventions could increase the reach and efficacy of traditional weight management programmes by becoming more embedded in clinical practice. However, because of their broad implementation across different clinical settings, concerns regarding the security and privacy of these technologies must be addressed.</p>\",\"PeriodicalId\":47388,\"journal\":{\"name\":\"Malaysian Journal of Medical Sciences\",\"volume\":\"32 1\",\"pages\":\"26-34\"},\"PeriodicalIF\":1.1000,\"publicationDate\":\"2025-02-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12097168/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Malaysian Journal of Medical Sciences\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.21315/mjms-08-2024-614\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2025/2/28 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q4\",\"JCRName\":\"MEDICINE, RESEARCH & EXPERIMENTAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Malaysian Journal of Medical Sciences","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.21315/mjms-08-2024-614","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/2/28 0:00:00","PubModel":"Epub","JCR":"Q4","JCRName":"MEDICINE, RESEARCH & EXPERIMENTAL","Score":null,"Total":0}
Emerging Trends in Telehealth and AI-Driven Approaches for Obesity Management: A New Perspective.
One in eight people globally, prevalent mainly in some ethnic groups and those from low socioeconomic backgrounds, is a critical global health challenge of obesity. The telehealth system would be valuable in arresting obesity, with better access to care and a supporting digital community that encourages regular practice of physical activities, healthy diets, and health monitoring, all within reach and at affordable prices. Digital health interventions such as telehealth, mHealth applications, and wearable devices are new modalities for the treatment of obesity that increase monitoring of energy expenditure, physical activity level, and caloric intake. These technologies enhance the possibilities of therapy against barriers, such as maintaining motivation and improving the diet. This review summarises current evidence regarding digital health interventions for obesity management by considering and evaluating various global digital strategies to reduce obesity. The literature emphasises the effectiveness of eHealth interventions toward weight loss and maintenance. Furthermore, artificial intelligence (AI) and Information and Communications Technology (ICT) can predict and prevent paediatric obesity. By contrast, virtual reality (VR) applications can determine real-world behaviour in clinical practice. These digital interventions could increase the reach and efficacy of traditional weight management programmes by becoming more embedded in clinical practice. However, because of their broad implementation across different clinical settings, concerns regarding the security and privacy of these technologies must be addressed.
期刊介绍:
The Malaysian Journal of Medical Sciences (MJMS) is a peer-reviewed, open-access, fully online journal that is published at least six times a year. The journal’s scope encompasses all aspects of medical sciences including biomedical, allied health, clinical and social sciences. We accept high quality papers from basic to translational research especially from low & middle income countries, as classified by the United Nations & World Bank (https://datahelpdesk.worldbank.org/knowledgebase/ articles/906519), with the aim that published research will benefit back the bottom billion population from these countries. Manuscripts submitted from developed or high income countries to MJMS must contain data and information that will benefit the socio-health and bio-medical sciences of these low and middle income countries. The MJMS editorial board consists of internationally regarded clinicians and scientists from low and middle income countries.