Artificial Intelligence Medical Compendium

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

Showing 831 to 840 of 160,243 articles

Predictive modeling for step II therapy response in periodontitis - model development and validation.

NPJ digital medicine Jul 15, 2025
Steps I and II periodontal therapy is the first-line treatment for periodontal disease, but has varying success. This study aimed to develop machine learning models to predict changes in periodontal probing depth (PPD) after step II therapy using pat... read more 

Molecular mechanisms of efferocytosis imbalance in the idiopathic pulmonary fibrosis microenvironment: from gene screening to dynamic regulation analysis.

Biology direct Jul 15, 2025
BACKGROUND: Idiopathic pulmonary fibrosis (IPF) is a chronic progressive pulmonary disease characterized by alveolar structural destruction and fibrosis. In recent years, efferocytosis has been recognized as playing a crucial role in the occurrence a... read more 
Humans Animals Gene Expression Profiling Protein Interaction Maps Gene Regulatory Networks Mice Idiopathic Pulmonary Fibrosis Phagocytosis Efferocytosis

Hyperbolic geometry enhanced feature filtering network for industrial anomaly detection.

Scientific reports Jul 15, 2025
In recent years, Cutting-edge machine learning algorithms and systems in Industry 4.0 enhance quality control and increase production efficiency. The visual perception algorithms have become extensively utilized in surface defect detection, progressi... read more 

Artificial intelligence for risk prediction in transcatheter heart valve interventions.

Expert review of cardiovascular therapy Jul 15, 2025
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A literature review of radio-genomics in breast cancer: Lessons and insights for low and middle-income countries.

Tumori Jul 15, 2025
To improve precision medicine in breast cancer (BC) decision-making, radio-genomics is an emerging branch of artificial intelligence (AI) that links cancer characteristics assessed radiologically with the histopathology and genomic properties of the ... read more 

Integrating vision transformer-based deep learning model with kernel extreme learning machine for non-invasive diagnosis of neonatal jaundice using biomedical images.

Scientific reports Jul 15, 2025
Birth complications, particularly jaundice, are one of the leading causes of adolescent death and disease all over the globe. The main severity of these illnesses may diminish if scholars study more about their sources and progress toward effective t... read more 
Humans Machine Learning Algorithms Female Infant, Newborn Deep Learning Image Processing, Computer-Assisted Jaundice, Neonatal Extreme Learning Machines

Deep learning-based delineation of whole-body organs at risk empowering adaptive radiotherapy.

BMC medical informatics and decision making Jul 15, 2025
BACKGROUND: Accurate delineation of organs at risk (OARs) is crucial for precision radiotherapy. Most previous autosegmentation models were only constructed for single anatomical region without evaluation of dosimetric impact. We aimed to validate th... read more 
Humans Deep Learning Organs at Risk Radiotherapy Planning, Computer-Assisted

Artificial Intelligence Enhances Diagnostic Accuracy of Contrast Enemas in Hirschsprung Disease Compared to Clinical Experts.

European journal of pediatric surgery : official journal of Austrian Association of Pediatric Surgery ... [et al] = Zeitschrift fur Kinderchirurgie Jul 15, 2025
Contrast enema (CE) is widely used in the evaluation of suspected Hirschsprung disease (HD). Deep learning is a promising tool to standardize image assessment and support clinical decision-making. This study assesses the diagnostic performance of a d... read more 

Predicting clozapine-induced adverse drug reaction biomarkers using machine learning.

Scientific reports Jul 15, 2025
Clozapine is an atypical antipsychotic used for patients with treatment-resistant schizophrenia. This drug has serious adverse drug reactions (ADRs), including the risk of severe neutropenia (agranulocytosis). Patients who could benefit from clozapin... read more 
Humans Machine Learning Algorithms Biomarkers Female Adult Male Middle Aged Schizophrenia Drug-Related Side Effects and Adverse Reactions Clozapine Antipsychotic Agents Agranulocytosis

BertADP: a fine-tuned protein language model for anti-diabetic peptide prediction.

BMC biology Jul 15, 2025
BACKGROUND: Diabetes is a global metabolic disease that urgently calls for the development of new and effective therapeutic agents. Anti-diabetic peptides (ADPs) have emerged as a research hotspot due to their therapeutic potential and natural safety... read more 
Humans Peptides Computational Biology Hypoglycemic Agents
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