Artificial Intelligence Medical Compendium

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

Showing 1,641 to 1,650 of 6,954 articles

Optimal graph representations and neural networks for multichannel time series data in seizure phase classification.

Scientific reports Jun 4, 2025
In recent years, several machine-learning (ML) solutions have been proposed to solve the problems of seizure detection, seizure phase classification, seizure prediction, and seizure onset zone (SOZ) localization, achieving excellent performance with ... read more 
Seizures Algorithms Electroencephalography Humans Neural Networks, Computer Machine Learning

Analysis of drug crystallization by evaluation of pharmaceutical solubility in various solvents by optimization of artificial intelligence models.

Scientific reports Jun 4, 2025
For analysis of crystallization, the solubility of drug in solvents should be correlated to input parameters. In this investigation, the solubility of salicylic acid as drug model in a variety of solvents is predicted through the utilization of multi... read more 
Solvents Artificial Intelligence Crystallization Machine Learning Salicylic Acid Bayes Theorem Pharmaceutical Preparations Solubility

Artificial intelligence enhanced electrochemical immunoassay for staphylococcal enterotoxin B.

Scientific reports Jun 4, 2025
Staphylococcal enterotoxin B (SEB) holds critical importance in disease diagnosis, food safety, and public health due to its high toxicity and potent pathogenicity. Traditional immunoassay methods for detecting SEB often exhibit insufficient accuracy... read more 
Humans Artificial Intelligence Immunoassay Machine Learning Enterotoxins Biosensing Techniques Electrochemical Techniques

Powdery mildew resistance prediction in Barley (Hordeum Vulgare L) with emphasis on machine learning approaches.

Scientific reports Jun 4, 2025
By employing machine-learning models, this study utilizes agronomical and molecular features to predict powdery mildew disease resistance in Barley (Hordeum Vulgare L). A 130-line F8-F9 barley population caused Badia and Kavir to grow at the Gonbad K... read more 
Hordeum Ascomycota Disease Resistance Phenotype Bayes Theorem Plant Diseases Machine Learning Neural Networks, Computer Algorithms

Use of deep learning-based NLP models for full-text data elements extraction for systematic literature review tasks.

Scientific reports Jun 3, 2025
Systematic literature review (SLR) is an important tool for Health Economics and Outcomes Research (HEOR) evidence synthesis. SLRs involve the identification and selection of pertinent publications and extraction of relevant data elements from full-t... read more 
Systematic Reviews as Topic Data Mining Algorithms Deep Learning Natural Language Processing Humans

Immuno-transcriptomic analysis based on machine learning identifies immunity signature genes of chronic rhinosinusitis with nasal polyps.

Scientific reports Jun 3, 2025
Chronic rhinosinusitis with nasal polyps (CRSwNP) is a prevalent inflammatory disease where immunomodulation plays a pivotal role. However, immuno-transcriptomic characteristics and its clinical relevance remains largely known. We analyzed transcript... read more 
Male Chronic Disease Middle Aged Rhinosinusitis Gene Expression Profiling Transcriptome Nasal Polyps Protein Interaction Maps Sinusitis Gene Regulatory Networks Rhinitis Biomarkers Humans Female Machine Learning Adult

Development and validation of a risk prediction model for kinesiophobia in postoperative lung cancer patients: an interpretable machine learning algorithm study.

Scientific reports Jun 3, 2025
Kinesiophobia is particularly common in postoperative lung cancer patients, which causes patients may be reluctant to cough and move due to misperception, internal fear or fear of pain, and avoid rehabilitation training affecting postoperative recove... read more 
Adult Cross-Sectional Studies Male Risk Factors Aged Postoperative Period Phobic Disorders Kinesiophobia Middle Aged Risk Assessment Lung Neoplasms Humans Machine Learning Algorithms Female

FPA-based weighted average ensemble of deep learning models for classification of lung cancer using CT scan images.

Scientific reports Jun 3, 2025
Cancer is among the most dangerous diseases contributing to rising global mortality rates. Lung cancer, particularly adenocarcinoma, is one of the deadliest forms and severely impacts human life. Early diagnosis and appropriate treatment significantl... read more 
Humans Deep Learning Image Processing, Computer-Assisted Lung Neoplasms Neural Networks, Computer Algorithms Tomography, X-Ray Computed

Predicting mass transfer activation energy and physicochemical properties of dried onion using numerical modeling and artificial intelligence.

Scientific reports Jun 3, 2025
The quality of the onion slices was statistically evaluated based on the variables of drying conditions, considering the following characteristics: drying time, color, shrinkage, water activity, and rehydration ratio, critical parameters in evaluatin... read more 
Artificial Intelligence Temperature Water Desiccation Ascorbic Acid Onions Food Handling

Analysis of a nonsteroidal anti inflammatory drug solubility in green solvent via developing robust models based on machine learning technique.

Scientific reports Jun 3, 2025
This study develops and evaluates advanced hybrid machine learning models-ADA-ARD (AdaBoost on ARD Regression), ADA-BRR (AdaBoost on Bayesian Ridge Regression), and ADA-GPR (AdaBoost on Gaussian Process Regression)-optimized via the Black Widow Optim... read more 
Niflumic Acid Anti-Inflammatory Agents, Non-Steroidal Solubility Bayes Theorem Machine Learning Carbon Dioxide Solvents Algorithms Thermodynamics
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