Objective The endoscopic and laryngoscopic examination is paramount for laryngeal,
oropharyngeal, nasopharyngeal, nasal, and oral cavity benign lesions and cancer …

The most prevalent type of cancer worldwide is mouth cancer. Around 2.5% of deaths are
reported annually due to oral cancer in 2023. Early diagnosis of oral squamous cell …

Modern optical and spectral technologies represent powerful approaches for a molecular
characterization of tissues enabling delineating pathological tissues but also a label-free …

Objective To summarize the use of deep learning in the detection of voice disorders using
acoustic and laryngoscopic input, compare specific neural networks in terms of accuracy …

Alongside many traditional as well as novel applications, in the latest years, drones have
been widely adopted as remote sensing platforms for road traffic monitoring in urban areas …

Purpose Recent breakthroughs in natural language processing and machine learning,
exemplified by ChatGPT, have spurred a paradigm shift in healthcare. Released by OpenAI …

Objective To investigate the potential of deep learning for automatically delineating
(segmenting) laryngeal cancer superficial extent on endoscopic images and videos …

Objective To achieve instance segmentation of upper aerodigestive tract (UADT) neoplasms
using a deep learning (DL) algorithm, and to identify differences in its diagnostic …

Objective To construct and validate a deep convolutional neural network (DCNN)‐based
artificial intelligence (AI) system for the detection of nasopharyngeal carcinoma (NPC) using …

Simple Summary The present study evaluates the reliability of depapillation surrounding
oral tongue squamous cell carcinomas (OTSCC) as a perineural invasion predictor and how …