Exploring the Role of Large Language Models (ChatGPT) in Advancing Metabolic Disease Research and Practice
Department of Internal Medicine, Hospital “A. Maresca”, Torre del Greco, Naples, ItalyObesity; Metabolic syndrome; Physical activity; Energy expenditure; Clinical nutrition
Dr Carmine Finelli is currently senior registrar of the Department of Emergency and Internal Medicine, Ospedale S. Maria della Pietà – ASL Napoli 3 Sud, Nola (Naples), Italy. Dr. Finelli obtained his Doctor of Medicine degree in 1999 at the Federico II University Medical School in Naples discussing the thesis: “Prevalence of eating disorders in obese outpatients”. He obtained his PhD in “Clinic and Pathology of Chronic-Degenerative Cardiovascular, Rheumatic and Nutritional diseases” at the Department of Clinical and Experimental Medicine, Federico II University Medical School in Naples in 2004. Research work was carried at the Clinical Nutrition Unit of the same Department. He also obtained his postgraduate degree in Internal Medicine, in 2008, at the Department of Clinical and Experimental Medicine, Federico II University Medical School in Naples. His main research interests are in polymorphism genetic in severe obesity; indicators of the nutritional status; pathogenetic mechanisms of insulin-resistance, hypertension and fatty liver in obesity; physical activity and energy expenditure in human obesity; metabolic and nutritional status in severely obese patients treated with bariatric surgery at short and long-term. He is also author of more than 124 papers, 46 published on peer-reviewed international journals. Dr. Finelli is currently involved in studies on the physiopathology, genetic and treatment of obesity.
"Artificial intelligence (AI)-powered chatbots, such as Chat Generative Pretrained Transformer (ChatGPT), have shown promising results in healthcare settings. These tools can help patients obtain real-time responses to queries, ensuring immediate access to relevant information. This special issue aims to explore the potential use of ChatGPT-generated medical responses for patients with obesity, metabolic syndrome, diabetes and malnutrition."
This special issue will cover, but is not limited to, the following topics:
- Predictive Models for Metabolic Diseases Based on LLMs
- Early Diagnosis of Metabolic Diseases Using LLMs
- Applications of LLMs in Personalized Treatment Plan Design
- Integration of LLMs with Other Advanced Medical Technologies (e.g., Genomics, Biomarkers)
- Case Studies: Real-World Examples of LLM Applications in Metabolic Disease Management
We invite experts in relevant fields to submit high-quality research papers, review articles, and case studies, sharing their latest findings and insights in this cutting-edge area.