Development of artificial intelligent systems for early biomarker detection in spine imaging with a focus on evaluating structural changes in osteoporotic vertebral bodies, including potential applications for war-affected individuals.

Over the past decade, artificial intelligence (AI) has generated significant interest in healthcare, offering solutions to address complex clinical challenges in daily practice. Our joint Latvian and Ukrainian research team, composed of radiologists and computer science specialists, is focused on developing AI systems to address the specific needs of patients with vertebral body changes. Osteoporosis, a prevalent condition not only in postmenopausal women but also in younger individuals, often leads to vertebral fractures, placing a heavy burden on healthcare systems. By analyzing imaging data from osteoporotic vertebrae, we aim to identify biomarkers of trabecular bone structure, which will guide the development of AI systems designed to predict vertebral fractures and improve preventive care. Importantly, these AI models hold the potential for broader application, particularly in evaluating early vertebral changes in war-affected individuals, where early and accurate diagnosis for vertebral changes is critical for effective treatment and recovery.