Abstract
Hypothalamic obesity (HO), which results from dysfunction or damage to the hypothalamus, is often characterized by uncontrollable weight gain, altered metabolic function, and an increased risk of associated comorbidities, including cardiovascular disease and diabetes. Despite its clinical significance, therapeutic options for HO remain limited and largely ineffective. This case report describes the case of a 48-year-old female patient with a history of traumatic brain injury (TBI) presented with severe, progressive obesity, developing post-traumatic hypothalamic dysfunction. The patient had a BMI of 44 kg/m² and had been unsuccessfully treated with various weight-loss interventions, including lifestyle modifications and pharmacotherapy. Due to previous unsuccessful interventions another approach using the artificial intelligence (AI) driven predictive models in optimizing leptin therapy for a patient with HO was used. This model functions by integrating clinical data, including genetic, hormonal, and metabolic biomarkers, an AI model was designed to predict individualized leptin dosage, demonstrating the potential for personalized treatment in managing HO. The results indicate that AI can be a powerful tool in refining leptin therapy, offering new hope for patients with HO.
Published on: February 27, 2025
doi: 10.17756/micr.2025-113
Citation: Shah NR, Siddartha BS, Sreshta A, Koneru SM. 2025. Artificial Intelligence Driven Predictive Models for Leptin Therapy in Hypothalamic Obesity Patients. J Med Imaging Case Rep 9(1): 7-10.
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