The increasing prevalence of obesity and cardiovascular disease (CVD) necessitates the development of novel treatment approaches to adequately tackle these urgent health issues. Recent developments in technology are opening up new possibilities for bettering these conditions' management and care. This study investigates the effects of emerging technologies on obesity and CVD treatment, including wearable technology, artificial intelligence (AI), machine learning (ML), and digital health platforms. Personalized health management is facilitated by wearable technologies, which allow for the real-time monitoring of physiological indicators and activity levels. Predictive analytics is improved by AI and ML, which makes it possible to identify risk factors early and tailor treatment regimens based on patient information. Telemedicine and digital health platforms provide remote monitoring and intervention, enhancing accessibility and continuity of care. Together, these technologies provide a change from conventional, reactive methods to proactive, individualized care. Notwithstanding their potential, issues including data privacy, proving the effectiveness of technology, and equal access must be resolved. This article aims to enhance patient outcomes and streamline healthcare delivery by highlighting the revolutionary potential of these tech-driven innovations and their role in influencing the future of managing obesity and cardiovascular disease.
Obesity; CVD; Digital Health; Artificial Intelligence; Machine Learning