Artificial Intelligence Medical Compendium

The rapid advancements in machine learning have led to the deployment of complex models in critical domains such as healthcare, finance, and autonomous systems. Despite their remarkable predictive performance, the opaque nature of these models presen... read more 

Accurate clinical records are fundamental to dental practice. Automatic speech recognition (ASR) has the capacity to convert spoken clinical language into written text within the electronic health record; however, the accuracy of ASR in natural langu... read more 

OBJECTIVES: Cochlear implantation is the standard of care for severe-to-profound hearing loss in the Netherlands. Cochlear implants (CIs) generally perform well in quiet conditions, but speech understanding in an environment with reverberations remai... read more 

Artificial neural networks (ANNs) equipped with general learning algorithms, but no linguistic knowledge, can learn to associate words with objects in naturalistic scenes when trained on head-mounted video recordings from a single child's first-perso... read more 

OBJECTIVE: This study has two main objectives: (1) to develop a multi-model framework for predicting Intensive Care Unit (ICU) mortality within the first 72 h of admission; and (2) to introduce a novel model-agnostic explainability approach classific... read more 

BACKGROUND: While large language models (LLMs) perform well in medical education, their ability to accurately interpret and answer English and Arabic dental multiple-choice questions (MCQs) remains underexplored. AIMS: This study evaluated the perfor... read more 

PURPOSE: Robotic exoskeleton walking has become increasingly prevalent in the management of paralysis. To support better integration into clinical practice, there is a need to understand the users' perceptions of the effects of exposure to large volu... read more 

OBJECTIVE: To provide guidance from the Society of University of Surgeons' Surgical Education Committee on the responsible integration of artificial intelligence into surgical training. METHODS: Members of the Education Committee reviewed current app... read more 

G-protein-coupled receptors are key drug targets due to their role in cellular signaling. Among them, bistable rhodopsins such as the jumping spider rhodopsin 1 (JSR1), are promising for optogenetic applications, but their transduction mechanisms rem... read more 

Gut microbiome (GME) is a dynamic ecosystem composed of diverse microorganisms with extensive functional potential that influence host physiology, endocrinology, and neurology. This review explores how multiomics (mOMICS) and machine learning (ML) en... read more