Deep learning-based methods have become the dominant methodology in medical image
processing with the advancement of deep learning in natural image classification, detection …

Objective To update the literature and provide a systematic review of image‐based artificial
intelligence (AI) applications in otolaryngology, highlight its advances, and propose future …

A common infectious disease, otitis media (OM) has a low rate of early diagnosis, which
significantly increases the difficulty of treating the disease and the likelihood of serious …

Artificial intelligence (AI) using deep learning approaches the capabilities of human experts
in medical image diagnosis. However, due to liability issues in medical decisions, AI is often …

To evaluate the generalizability of artificial intelligence (AI) algorithms that use deep
learning methods to identify middle ear disease from otoscopic images, between internal to …

This comprehensive review and analysis delve into the intricate facets of bias within the
realm of deep learning. As artificial intelligence and machine learning technologies become …

Esophageal varices (EV) in liver cirrhosis carry high mortality risks. Traditional endoscopy,
which is costly and subjective, prompts a shift towards machine learning (ML). This review …

Diagnostic errors represent a critical issue in clinical diagnosis and treatment. In China, the
rate of misdiagnosis in clinical diagnostics is approximately 27.8%. By comparison, in the …