Motivation The aim of precision medicine is to harness new knowledge and technology to
optimize the timing and targeting of interventions for maximal therapeutic benefit. This study …

Reliable preoperative diagnosis of malignant thyroid tumors remains challenging because
of the inconclusive cytological examination of fine‐needle aspiration biopsies. Although …

Artificial intelligence (AI) uses mathematical algorithms to perform tasks that require human
cognitive abilities. AI-based methodologies, eg, machine learning and deep learning, as …

Thyroid cancer is an increasing global health concern that requires advanced diagnostic
methods. The application of AI and radiomics to thyroid cancer diagnosis is examined in this …

Simple Summary Thyroid nodules are commonly detected in daily clinical practice, and their
diagnosis and therapy usually involve different specialists and various diagnostic and …

Thyroid nodules are neoplasms commonly found among adults, with papillary thyroid
carcinoma (PTC) being the most prevalent malignancy. However, current diagnostic …

This review synthesises past research into how machine and deep learning can improve the
cyto-and histopathology processing pipelines for thyroid cancer diagnosis. The current gold …

Simple Summary The study presents a thyroid disease prediction approach which utilizes
random forest-based features to obtain high accuracy. The approach can obtain a 0.99 …

Artificial intelligence (AI) has significantly impacted thyroid cancer diagnosis in recent years,
offering advanced tools and methodologies that promise to revolutionize patient outcomes …

Background Although microscopic diagnosis has been playing the decisive role in cancer
diagnostics, there have been cases in which it does not satisfy the clinical need. Differential …