Artificial Intelligence Medical Compendium

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

Showing 65,141 to 65,150 of 231,904 articles

Hybrid data-driven machine learning model for predicting performance of lignocellulosic biomass gasification.

Bioresource technology
Gasification is a promising technology for converting lignocellulosic residues into valuable energy and fuels. However, widespread adoption is challenging due to technical barriers in biomass thermoconversion, notably feedstock variability and tar fo... read more 

AI-assisted translation in oral and maxillofacial surgery: A comparative evaluation.

Journal of stomatology, oral and maxillofacial surgery
OBJECTIVES: English dominates scientific communication, yet non-native speakers face significant barriers in publishing. Artificial intelligence (AI) translation tools offer a potential solution, but their efficacy requires systematic evaluation. The... read more 

Cost-effectiveness analysis of artificial intelligence (AI) for response prediction of neoadjuvant radio(chemo)therapy in locally advanced rectal cancer (LARC) in the Netherlands.

Expert review of pharmacoeconomics & outcomes research
BACKGROUND: Given the potential of artificial intelligence (AI) and the increasing importance of understanding AI's economic impact, this study aims to provide insights into the potential cost-effectiveness of an AI tool in the response prediction to... read more 

Stem Cell-Derived Organoids as a Next-Generation Platform for Drug Toxicity and Efficacy Testing: Toward Replacing Animal Models in Regulatory Science.

Journal of applied toxicology : JAT
Three-dimensional, self-organizing structures derived from stem cells, known as organoids, represent a groundbreaking advancement in preclinical drug development. Organoid-based platforms advance preclinical testing by providing an accurate represent... read more 

ProtFPreDTI: Drug-Target Interaction Prediction Study and LIME Interpretability Analysis Based on the ProtBERT Deep Language Model with Adaptive Fuzzy Sampling Strategy.

Bioconjugate chemistry
The interaction mechanism between drugs and targets is a core topic of modern pharmaceutical research, and its precise analysis can not only significantly improve the efficiency of innovative drug development but also reveal the mechanism of interact... read more 

Real-world deployment of machine learning models for opioid overdose and opioid use disorder: a systematic review of clinical and operational lessons for addiction medicine.

Journal of addictive diseases
BACKGROUND: Machine learning (ML) is increasingly explored for opioid overdose and opioid use disorder (OUD) detection and prevention. Regional burden is uneven: the United States currently has among the highest rates of drug-overdose deaths worldwid... read more 

Instrument-Free Quantitative Detection of Analytes Using a Combo Lateral Flow Assay.

ACS applied bio materials
Lateral flow assays (LFA) are widely regarded as the cheapest, fastest, and easiest point-of-care (PoC) tests available. A key advantage is that results can be visually interpreted without the need for specialized equipment, enabling on-site applicat... read more 

α-Helical Peptides Encoded in Collagen Exhibit Antimicrobial Activity with Low Cytotoxicity.

Journal of natural products
Endogenous antimicrobial peptides (AMPs) derived from host proteins represent a largely underexplored class of natural products tied to innate immunity. Here, we investigated collagen proteins as a source of latent α-helical AMPs encoded within nonfi... read more 

Robot Nurses and Artificial Intelligence in Pediatrics: Opinions of Pediatric Nurses: A Qualitative Study.

Journal of pediatric health care : official publication of National Association of Pediatric Nurse Associates & Practitioners
INTRODUCTION: This study was conducted to explore the views of pediatric nurses on robot nurses and artificial intelligence. METHOD: A qualitative research design was used in this study, and semistructured interviews were conducted with 22 nurses wor... read more 

Evidence-Based Guidelines for Podcast Production and Use in Competency-Based Health Professions Education.

Journal of pediatric health care : official publication of National Association of Pediatric Nurse Associates & Practitioners
BACKGROUND: Podcasts are a popular educational tool in health professions that appeal to learners for their accessibility and flexibility. Skeptics criticize podcasts for issues related to quality and credibility, despite established quality criteria... read more