Title : AI and machine learning in obesity: Transforming healthcare approaches
Abstract:
Obesity is a global health crisis, contributing to a rise in non-communicable diseases such as diabetes, cardiovascular disorders, and metabolic syndromes. Traditional approaches to obesity prevention and management often fall short in addressing the complexity of individual risk factors and treatment responses. Artificial Intelligence (AI) and Machine Learning (ML) are emerging as transformative tools in healthcare, offering innovative solutions for early detection, personalized treatment, and long-term weight management. This presentation explores the role of AI and ML in obesity research, from predictive analytics and risk assessment models to AI-driven nutritional guidance and behavioral interventions. Advanced algorithms can analyze vast datasets, identifying patterns in genetic, metabolic, and lifestyle factors that contribute to obesity. AI-powered applications, such as wearable devices, chatbots, and virtual coaching, are revolutionizing patient engagement and self-monitoring. Furthermore, machine learning is enhancing clinical decision-making by providing tailored treatment plans based on an individual’s health profile. By leveraging AI and ML, the future of obesity management can shift towards a more proactive, personalized, and efficient healthcare model.
