Cervical cancer detection and diagnosis are undergoing a transformation with the integration of advanced deep learning (DL) technologies. Despite ...

Why today’s AI systems struggle with consistency and how emerging world models aim to give machines a steady grasp of space ...

Abstract: Integrating advanced technologies has revolutionized dental practice, transforming patient diagnosis and treatment. Radiographic examinations remain one of the most essential tools for ...

Abstract: The manual diagnosis of diabetic retinopathy (DR) is often invasive, time-consuming, expensive, and prone to human error. Additionally, it can be subjective ...

A Texas A&M professor has been told not to teach certain writings from Plato, a staple in introductory philosophy courses, because they may violate the university system's new rules against ...

Objective: This study aims to identify the key risk factors for occupational exposure among oral healthcare workers and develop a predictive model using machine learning algorithms to lay the ...