Artificial Intelligence Medical Compendium

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

Showing 27,831 to 27,840 of 219,064 articles

Joint use of ground-penetrating radar and hydraulic-partitioning tracer tomography to improve characterization and long-term prediction of DNAPL source zones in multi-facies aquifers.

Journal of contaminant hydrology
Facies-controlled heterogeneity, including fine-grained lenses and abrupt textural transitions, produces irregular and non-Gaussian DNAPL source zone architecture (SZA) that strongly influences mass-transfer and long-term dissolution. Reconstructing ... read more 

A 48-class handwritten dataset for the endangered chakma language.

Data in brief
This article describes a comprehensive handwritten character dataset for the endangered Chakma language, primarily spoken in the Chittagong Hill Tracts of Bangladesh. The dataset comprises 37,708 processed RGB images, standardized to 40 × 40 pixels, ... read more 

Future cardiovascular events prediction from invasive coronary angiography: A graph representation learning perspective.

Medical image analysis
Improving risk stratification for coronary artery disease (CAD), the leading global cause of death, remains a daily challenge in clinical practice. This highlights the urgent need for innovative approaches to early prediction of future cardiovascular... read more 

Comprehensive integrative analysis of Exosome-associated genes in major depressive disorder: Diagnostic biomarker discovery, immune modulation, and therapeutic implications.

Journal of psychiatric research
OBJECTIVE: This study systematically analyzed the expression profiles of exosome-associated genes in Major Depressive Disorder (MDD), constructed diagnostic models, and explored their association with immune regulation, pharmacological targeting, and... read more 

Combinatorial Engineering of the Catalytic Pocket and Structural Stability in 4-Vinylguaiacol Oxygenase for Efficient Vanillin Biosynthesis.

Journal of agricultural and food chemistry
The low activity of 4-vinylguaiacol oxygenase severely limits the biocatalytic synthesis of vanillin from ferulic acid. In this study, strategies involving catalytic pocket engineering and machine-learning-assisted structural stability optimization w... read more 

A comparative evaluation of EEG-based deep learning models for schizophrenia detection with cross-dataset validation and explainable AI.

Neurological research
OBJECTIVES: Schizophrenia is a neuropsychiatric disorder that affects emotional, behavioral, and brain functions that can be tracked using electroencephalography (EEG). This research conducts a comparative evaluation of deep learning models utilizing... read more 

Effectiveness of a Fully Automated Mobile Therapeutic Versus a General Chatbot in Reducing Depression and Anxiety and Improving Well-Being: Feasibility Randomized Controlled Trial.

JMIR mental health
BACKGROUND: Given the increasing prevalence of depression and anxiety disorders and enduring barriers to care, there is a critical need for alternative treatment options. Generative artificial intelligence (AI) chatbots show promise for increasing ac... read more 

Integrating Confidence, Difficulty, and Language Model Calibration for Better Explainability in Clinical Documents Coding: Applications of AI.

JMIR AI
BACKGROUND: In recent years, there has been increasing interest in developing machine and deep learning models capable of annotating clinical documents with semantically relevant labels. However, the complex nature of these models often leads to sign... read more 

Temperature-Dependent Bioaccumulation of Metals in Marine Mollusks: Integrating Thermal Performance Curves, Machine Learning, and Toxicokinetic Modeling.

Environmental science & technology
Temperature regulates mollusk physiology and can alter metal bioaccumulation through filtration, uptake, growth dilution, and elimination. Yet many toxicokinetic (TK) applications treat temperature as a simple correction to a subset of rates and rare... read more 

An Automated Curriculum to Support Behavioral Health Counseling Among Pediatric Residents: Usability Study.

JMIR human factors
BACKGROUND: Behavioral health concerns are common in pediatric practice, with pediatricians reporting a lack of skills related to providing effective behavioral management strategies to parents. A prior human-facilitated, screen-based virtual reality... read more