Computer-assisted diagnostic systems have been developed to aid doctors in diagnosing
thyroid-related abnormalities. The aim of this research is to improve the diagnosis accuracy …

Artificial intelligence (AI) is assuming a central role in anatomic pathology for ancillary
diagnosis in histology and cytology. AI techniques can analyse large amounts of data and …

Precision cancer medicine (PCM) to support the treatment of solid tumors requires minimally
invasive diagnostics. Here, we describe the development of fine‐needle aspiration biopsy …

Background: Assessment of thyroid nodules histopathology using AI is crucial for an
accurate diagnosis. This systematic review analyzes recent works employing deep learning …

Thyroid nodules are very common, 5–15% of which are malignant. Despite the low mortality
rate of well-differentiated thyroid cancer, some variants may behave aggressively, making …

Thyroid nodule (TYN) is a life-threatening disease that is commonly observed among adults
globally. The applications of deep learning in computer-aided diagnosis systems (CADs) for …

Introduction The integration of whole slide imaging (WSI) and artificial intelligence (AI) with
digital cytology has been growing gradually. Therefore, there is a need to evaluate the …

Thyroid cytology is a rapidly evolving field that has seen significant advances in recent
years. Its main goal is to accurately diagnose thyroid nodules, differentiate between benign …

The nodules in the thyroid region can be cancerous or non-cancerous, present even in
healthy humans. Early diagnosis of thyroid cancer is helpful for prevention and treatment …

Artificial intelligence (AI) and machine learning (ML) have profoundly changed the
landscape of healthcare. In pathology, AI/ML technologies are now able to enhance …