Deep learning and diagnostic applications in oral and dental health have received
significant attention recently. In this review, studies applying deep learning to diagnose …

Artificial intelligence (AI) is rapidly transforming healthcare, and one of its most promising
applications is in the diagnosis and treatment of diseases. AI algorithms can analyze vast …

Diabetic retinopathy (DR) can be defined as visual impairment caused by prolonged
diabetes affecting the blood vessels in the retina. Globally, it stands as the primary …

Artificial intelligence (AI) has been integrated into dentistry for improvement of current dental
practice. While many studies have explored the utilization of AI in various fields, the potential …

Oral diseases are very prevalent worldwide and affect people of all ages. Dentists depend
on x-rays to study the characteristics of oral diseases. The segmentation and analysis of …

Today, doctors rely heavily on medical imaging to identify abnormalities. Proper
classification of these abnormalities enables them to take informed actions, leading to early …

Purpose It is crucial to preoperatively diagnose lateral cervical lymph node (LN) metastases
(LNMs) in papillary thyroid carcinoma (PTC) patients. This study aims to develop deep …

Computer vision falls under the broad umbrella of artificial intelligence that mimics human
vision and plays a vital role in dental imaging. Dental practitioners visualize and interpret …

Artificial intelligence (AI) is emerging as a transformative technology in healthcare, including
endodontics. A gap in knowledge exists in understanding AI's applications and limitations …

Objectives Dental radiographs, particularly bitewing radiographs, are widely used in dental
diagnosis and treatment Dental image segmentation is difficult for various reasons, such as …