Artificial Intelligence Medical Compendium

BACKGROUND: Understanding the patient-specific anatomy of the superior mesenteric artery (SMA) and its branches is of critical importance when performing a pancreatic surgery. This study assesses deep-learning-based virtual SMA modelling for three-di... read more 

Oropharyngeal cancer (OPC) is increasingly driven by human papillomavirus (HPV), particularly HPV16, marking a shift in its epidemiology, prognosis, and treatment approach. This review explores the distinct molecular biology of HPV-positive OPC, high... read more 

BACKGROUND: Social motor synchrony is critical for successful social interaction. It remains unclear whether autistic children exhibit distinct differences in intentional versus spontaneous social motor synchrony, as well as what underlying interpers... read more 

OBJECTIVE: To evaluate a deep learning (DL)-based approach for predicting air-bone gap (ABG) from tympanic membrane (TM) perforation images using automated segmentation and feature extraction, addressing the limitations of audiometry availability in ... read more 

Bioactuators consisting of cultured skeletal muscle and an artificial lattice have not only the same flexibility as soft actuators but also the same biological functions; both are glucose-driven and capable of self-growth and self-repair. These featu... read more 

CRISPR-based genome editing technologies, including nuclease-based editing, base editing and prime editing, have revolutionized biological research and modern medicine by enabling precise, programmable modification of the genome and offering new ther... read more 

The treatment of hypopharyngeal cancer faces complex challenges, and accurate prediction of chemotherapy sensitivity is crucial for personalized treatment. In this study, a multimodal fusion network based on deep learning was used to classify the che... read more 

Cancer is a complex and lethal disease influenced by multiple factors, and accurate subtyping is crucial for personalized treatment and prognostic evaluation. Although deep learning has made progress in cancer subtype identification, existing methods... read more 

AIMS: Early identification of pharmacological therapy for gestational diabetes mellitus (GDM), a common pregnancy complication, through machine learning could allow for better therapeutic strategies and improved treatment efficiency. This scoping rev... read more 

Generative artificial intelligence (GenAI) is rapidly advancing in healthcare and is poised to transform dentistry. Given its increasing adoption in clinical and educational contexts, a comprehensive review is needed to evaluate current progress and ... read more