Artificial Intelligence Medical Compendium

Brain-inspired neural networks, drawing insights from biological neural systems, have emerged as a promising paradigm for temporal information processing due to their inherent neural dynamics. Spiking Neural Networks (SNNs) have gained extensive atte... read more 

INTRODUCTION: The digital age offers vast health information, boosting patient health literacy but also fostering challenges like misinformation. Large language models-driven chatbots such as chat generative pretrained transformer 3 (ChatGPT 3) blur ... read more 

BACKGROUND AND OBJECTIVE: Multidrug-resistant urinary tract infections (MDR UTIs) are a growing concern in patients with brain and spinal cord injuries due to their high susceptibility to UTIs and repeated antibiotic exposure. This study aimed to dev... read more 

The common thread behind the recent Nobel Prize in Physics to John Hopfield and those conferred to Giorgio Parisi in 2021 and Philip Anderson in 1977 is disorder. Quoting Philip Anderson: more is different. This principle has been extensively demonst... read more 

PURPOSE: Conventional magnetic resonance imaging (MRI) for locally advanced rectal cancer (LARC) involves challenges in evaluating and predicting the preoperative response to neoadjuvant chemoradiotherapy (CRT). Deep learning (DL) methods incorporati... read more 

Canine cutaneous mast cell tumors (ccMCTs) are frequent neoplasms with variable biological behaviors. Internal tandem duplication mutations in c-KIT exon 11 (c-KIT-11-ITD) are associated with poor prognosis but predict therapeutic response to tyrosin... read more 

PURPOSE: The aim is to develop a T2 mapping method with submillimeter spatial resolution, approximately 1-minute acquisition time, large volume coverage, and no extra burden on the console or coil setups. Additionally, to develop an associated approa... read more 

BACKGROUND AND PURPOSE: Inflammation plays a crucial role in the development and progression of numerous acute and chronic diseases such as myocardial infarction (MI) and heart failure. Targeting ADAM proteases, particularly ADAM10, holds promise for... read more 

PURPOSE OF REVIEW: Sinonasal mucus biomarkers have emerged as a powerful, noninvasive tool to better understand the immunopathology of chronic rhinosinusitis (CRS). This review highlights the evolving role of mucus biomarkers as they move from discov... read more 

BACKGROUND: The automated segmentation of maxillary and mandibular bones in cone-beam computed tomography (CBCT) using artificial intelligence (AI) is redefining the standards of digital dentistry and orthodontics, with applications in mini-implant p... read more