Artificial Intelligence Medical Compendium

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

Showing 11,961 to 11,970 of 210,187 articles

Does vesicoureteral reflux severity impact breakthrough UTI risk: a multi-institutional analysis and risk stratification.

World journal of urology
BACKGROUND: Vesicoureteral reflux (VUR) is a common urological disorder in children. To date, VUR severity is assessed by grading, and contemporary models have expanded on developing predictors for breakthrough UTI (bUTI) in VUR. Here, we developed m... read more 

From conventional imaging software to artificial intelligence: tools for stone volume assessment in urolithiasis. Α review by the EAU and YAU sections of endourology.

World journal of urology
INTRODUCTION: Accurate assessment of stone burden is fundamental in urolithiasis, as it directly influences treatment selection and prognostic evaluation. Although maximum stone diameter on non-contrast computed tomography remains the most widely use... read more 

Nuclear DNA-Gated Electrochemiluminescence Microscopy with Deep Learning for Single-Cell Apoptosis Profiling.

Analytical chemistry
Accurately assessing how individual cells respond to anticancer agents remains challenging because most assays provide bulk or binary readouts and cannot translate single-cell imaging into scalable, mechanism-relevant quantification. Here, we develop... read more 

An exploratory application of modern statistical methodology and machine learning techniques in assessment of crystallinity monitoring and control strategy development for high-risk drug manufacturing.

Journal of biopharmaceutical statistics
Pharmaceutical polymorphism and crystallinity changes may have significant impact on drug's quality, efficacy, and safety. The risk mitigation strategies include pharmaceutical development, monitoring and control strategy establishment during manufac... read more 

Spatio-temporal machine learning for multi-horizon prediction of bluetongue outbreaks

bioRxiv
Reliable early warning of infectious disease outbreaks remains a major challenge for surveillance systems, particularly for vector-borne pathogens whose transmission depends on interactions among hosts, vectors, and climate-sensitive environmental co... read more 

Genos-m: a foundation model for human-associated microbial genomes

bioRxiv
Human-associated microbial genomes encode extensive strain-level diversity and niche-specific gene repertoires that are critical to host health. However, these complex sequence features remain difficult to capture using general-purpose DNA foundation... read more 

A machine learning framework for interpreting phylogenetic tree patterns in interkingdom horizontal gene transfer

bioRxiv
Horizontal gene transfer (HGT), the movement of genetic material between unrelated organisms, is widely recognized as an important driver of genome evolution in bacteria. In eukaryotes, however, the evolutionary impact of HGT remains debated. The ide... read more 

From Functional Architecture to Organizing Principles of Neuronal Ensembles in Mouse Area V1

bioRxiv
While single neuron responses in mouse V1 are well characterized, less is known about how functional ensembles--groups of neurons that co-activate more frequently than expected by chance--emerge as computational units within laminar V1 circuits. Even... read more 

Impact of Imaging Protocols on Thermal Detection of Pressure Injuries: Threshold versus Deep Learning Across Skin Tones

medRxiv
Pressure injuries represent a significant healthcare challenge requiring early detection to prevent severe complications. While thermal imaging shows promise for detecting early pressure-related temperature changes, its robustness across varying imag... read more