Machine Learning Model as a Useful Tool for Prediction of Thyroid Nodules Histology, Aggressiveness and Treatment-Related Complications

From Antibodies to Artificial Intelligence: A Comprehensive Review of Diagnostic Challenges in Hashimoto's Thyroiditis

Hashimoto's thyroiditis (HT) poses diagnostic challenges due to its diverse clinical presentation and the intricacies of autoimmune thyroid diseases. This comprehensive narrative review explores the evolving landscape of diagnostic challenges in HT, aiming to provide a thorough understanding of the complexities involved in its diagnosis. The diagnostic criteria for HT involve a multifaceted approach, including clinical features, laboratory findings, and imaging studies. Serum antibodies against thyroid antigens, primarily thyroperoxidase (TPO) and thyroglobulin, play a crucial role in confirming the autoimmune nature of the disease. However, seronegative HT adds complexity by presenting without detectable antibodies. The significance of addressing diagnostic challenges lies in potential delays and misdiagnoses, emphasizing the need for accurate and timely intervention. The review explores future directions, emphasizing molecular and cellular aspects, genetic factors, and the emerging field of thyroid regeneration. Standardized diagnostic criteria are essential, considering the subjective nature of the current process. The heterogeneity of disease manifestations complicates targeted treatments, necessitating a deeper understanding of clinical presentations and underlying pathophysiology. Future research directions and challenges outlined in this review contribute to advancing our understanding and improving diagnostic precision in HT.