Artificial Intelligence Medical Compendium

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

Showing 65,281 to 65,290 of 231,904 articles

C2HFusion: Clinical context-driven hierarchical fusion of multimodal data for personalized and quantitative prognostic assessment in pancreatic cancer.

Medical image analysis
Pancreatic ductal adenocarcinoma (PDAC) is a highly aggressive malignancy. Accurate prognostic modeling enables reliable risk stratification to identify patients most likely to benefit from adjuvant therapy, thereby facilitating individualized clinic... read more 

VENI, VINDy, VICI: A generative reduced-order modeling framework with uncertainty quantification.

Neural networks : the official journal of the International Neural Network Society
Generative models are transforming science and engineering by enabling efficient synthetization and exploration of new scenarios for complex physical phenomena with minimal cost. Although they provide uncertainty-aware predictions to support decision... read more 

Development of a new tool for prediction of hospital length of stay and intensive care needs in trauma patients using Machine Learning.

Injury
BACKGROUND: Trauma is a major global health burden leading to significant morbidity, disability, and mortality. Predictive models in trauma care traditionally focus on mortality, but early predictions of hospital length of stay (LOS) and intensive ca... read more 

Reconnecting new tetrahydrobenzothieno-4-pyrimidine amides as potent PIM-1 kinase inhibitors via an integrated ligand, machine learning model and structure based scaffold hopping: In vitro anti-tumor investigations.

Bioorganic chemistry
PIM1 has been known to be one of the prolific molecular target in the discovery of new potential anticancer drugs due to its engagement in activation of cell proliferation and anti-apoptosis. Till date not a single drug is in the market that targets ... read more 

Automated diagnosis of usual interstitial pneumonia on chest CT via the mean curvature of isophotes.

European journal of radiology open
PURPOSE: To test whether the mean curvature of isophotes (MCI), a geometric image transformation, can be used to improve automatic detection on chest CT of Usual Interstitial Pneumonia (UIP), a determining radiological pattern in the diagnosis of Int... read more 

Artificial intelligence in breast cancer screening: A systematic review and meta-analysis of integration strategies.

European journal of radiology open
OBJECTIVE: To compare AI-augmented and conventional double reading in organised breast-cancer screening with respect to cancer-detection rate (CDR), recall rate, and radiologist workload. METHODS: We conducted a systematic review and random-effects m... read more 

Mitigating data center bias in cancer classification: Transfer bias unlearning and feature size reduction via conflict-of-interest free multi-objective optimization.

Artificial intelligence in medicine
Bias in the decision-making processes of trained deep models poses a significant threat to their reliability. Such bias can lead to overoptimistic results on observed data while compromising generalization to unseen datasets. Training data may contai... read more 

Predicting cardiovascular diseases using imbalanced data: An XGBoost-based analysis of the 2022 BRFSS dataset.

American heart journal plus : cardiology research and practice
BACKGROUND: Cardiovascular diseases (CVDs) remain the leading cause of mortality worldwide, arising from complex interactions among demographic, clinical, behavioral, and social determinants. Leveraging large, nationally representative datasets such ... read more 

A clinical dataset on type-2 diabetes including demographic, anthropometric, and biochemical parameters from Bangladesh.

Data in brief
Type-2 diabetes is a major public health concern in Bangladesh, and this dataset provides 1065 curated patient records with demographic, anthropometric, and clinical variables relevant to its assessment. The data were collected during routine clinica... read more 

Deep-sea image dataset for organism detection.

Data in brief
The conservation of marine resources and the mitigation of marine pollution require strengthened knowledge of marine biodiversity, particularly in the deep sea. Videos and images are valuable for documenting the distribution of deep-sea organisms, bu... read more