Artificial Intelligence Medical Compendium

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

Showing 12,121 to 12,130 of 210,314 articles

New inventory of glaciers in Tajikistan from 3 m PlanetScope imagery (2024): the Tajikistan Glacier Inventory (TGI).

Scientific data
Glaciers in Tajikistan serve as a crucial water source in Central Asia. However, existing glacier data products suffer from several limitations, including outdated temporal coverage, coarse spatial resolution, and inadequate mapping of debris-covered... read more 

Machine learning-driven optimization of performance and emissions in a butanol/diesel CI engine.

Scientific reports
A hybrid modeling framework integrating experiments, CONVERGE CFD, and Optuna-optimized ensemble machine learning is developed to predict and optimize performance and emission characteristics of a DI-CI engine fueled with butanol/diesel blends. Machi... read more 

Estimating temporal treatment-effect patterns of radiotherapy and chemotherapy in lower-grade gliomas using causal machine learning.

Scientific reports
Treatment decisions for lower-grade gliomas (WHO grades 2-3) rest on trial averages, which lack temporal resolution. We applied Causal Analysis of Survival Trajectories (CAST), a causal-machine-learning method that builds treatment-effect trajectorie... read more 

Application and effectiveness of artificial intelligence in adolescent mental health support and therapy: a scoping review.

BMC psychiatry
BACKGROUND: Adolescents are highly vulnerable to mental health conditions, yet traditional counseling models may not fully address their evolving needs. The rise of artificial intelligence (AI) has created new opportunities and challenges for support... read more 

Automated measurement of the minimum macular hole diameter based on optical coherence tomography images.

BMC ophthalmology
BACKGROUND: Accurate measurement of minimum macular hole (MH) diameter is essential for diagnosis and treatment. The manual measurement approach by ophthalmologists is time-consuming, poorly reproducible, and exhibits high inter-observer variability.... read more 

An interactive anatomy tool to boost clinical reasoning and knowledge retention for preclinical medical students: a preliminary evaluation.

BMC medical education
INTRODUCTION: Anatomy teaching in preclinical medical education has become increasingly compressed, making it more difficult for students to integrate foundational anatomical knowledge with clinical reasoning. Upper limb nerve lesions are particularl... read more 

Phenotype discovery and mortality prediction in sepsis-induced myocardial dysfunction: a deep learning and stratified modeling approach.

BMC medical informatics and decision making
Sepsis-induced myocardial dysfunction (SIMD) is a common and heterogeneous complication in patients with sepsis and is associated with increased mortality. This study aimed to identify distinct clinical phenotypes of SIMD using unsupervised deep lear... read more 

Cerebrospinal fluid volume outperforms traditional measures for predicting treatment failure in infant hydrocephalus.

Fluids and barriers of the CNS
BACKGROUND: Endoscopic third ventriculostomy with choroid plexus cauterization (ETV/CPC) offers an alternative to shunt placement for infant hydrocephalus, avoiding shunt-related complications when successful. However, approximately 40% of procedures... read more 

Microbial systems for azo dye biodegradation: enzymatic mechanisms, microbial consortia, and emerging biotechnological strategies.

Microbial cell factories
Azo dyes are the most widely used class of synthetic colorants in textile and related industries; however, their discharge into natural ecosystems poses severe environmental and human-health concerns due to their xenobiotic structure, toxicity, and r... read more 

Optimization of an improved chemically defined medium for high-efficiency expression of glucokinase in Escherichia coli.

Microbial cell factories
BACKGROUND: Recombinant glucokinase (GLK), an important enzyme for blood glucose diagnostics, is commonly prepared in Escherichia coli (E.coli )for laboratory research and related biosynthetic applications. In small-scale laboratory cultivation, comp... read more