Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 21,911 to 21,920 of 216,627 articles

Comparison of marker-based and markerless motion capture systems to assess gait kinematics and kinetics in children with cerebral palsy.

Gait & posture
BACKGROUND: Cerebral Palsy (CP) is a leading cause of childhood motor disability and is frequently assessed through clinical gait analysis using marker-based motion capture systems. However, these systems present challenges, such as errors regarding ... read more 

Recent progress in the effects and mechanisms of non-thermal technologies on alleviating food allergy.

Food chemistry
Food allergy is a big concern in food safety. Thermal processing is an effective approach to tackle it, but the method might significantly diminish the nutritional value and sensory characteristics of food. In contrast, non-thermal processing technol... read more 

Automated Approaches of Text Simplification of Patient Education Materials: Scoping Review.

Journal of medical Internet research
BACKGROUND: Patient education materials (PEMs) often exceed the American Medical Association's (AMA) recommended sixth-grade reading grade level (RGL). While artificial intelligence (AI) offers potential for automated text simplification, concerns pe... read more 

Impact of a Prototype Combining Recommender Functionality With Structured Documentation on Operator Performance in Calls to Medical Communication Centers: Quasi-Experimental Feasibility Study.

JMIR formative research
BACKGROUND: Management of contacts to medical communication centers relies heavily on clinical judgment, contextual understanding, and communication skills. Decision support systems, intended to complement medical expertise, may, due to their rigidit... read more 

Clinical Context Variables Collectively Rival Model Choice in Embedding-Based Retrieval: Multi-Corpus Benchmark Study.

JMIR medical informatics
BACKGROUND: Retrieval-augmented generation (RAG) systems increasingly support clinical decision-making by grounding large language model outputs in verifiable evidence. The retrieval component is foundational: if the correct document is not retrieved... read more 

Economic evaluations of digital health interventions on maternal, newborn and child health in low-income and middle-income countries: a systematic review protocol.

BMJ open
INTRODUCTION: Digital health interventions have emerged as promising solutions to strengthen maternal, newborn and child health (MNCH) systems in low-income and middle-income countries (LMICs). Although evidence on their effectiveness is growing, cor... read more 

Sensory processing differences and behavioural problems in children with autism: a retrospective study using statistical modelling and multi-output machine learning.

BMJ paediatrics open
BACKGROUND: Sensory processing differences (SPDs) are common in children with autism, yet their specific contributions to behavioural problems remain insufficiently explored. To examine how SPDs relate to behavioural problems in children with autism ... read more 

Enhancing 1p/19q Classification in Brain Gliomas Using IDH Status: A Deep Learning Study.

AJNR. American journal of neuroradiology
BACKGROUND AND PURPOSE: IDH mutation & 1p/19q codeletion are critical biomarkers for glioma diagnosis & therapy. 1p/19q codeletion occurs exclusively in IDH-mutated gliomas. In this study, we developed a 2-stage, non-invasive, MRI-based deep learning... read more 

A Modular Mechanistic In Silico Model for In Vitro Transcription Process Yield and Product Quality Prediction.

Biotechnology and bioengineering
In vitro transcription (IVT) plays a critical role in the manufacture of mRNA vaccines and therapeutics. Optimizing mRNA yield and ensuring product quality, such as capping efficiency and integrity, are essential but mechanistically complex. This stu... read more