Artificial Intelligence Medical Compendium

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

Showing 20,661 to 20,670 of 216,088 articles

Monthly soil temperature modelling across different depths using machine learning algorithms in northeast India.

Scientific reports May 11, 2026
Soil temperature is one of the most crucial factors for agricultural systems, which affects various hydrogeological processes in soil. Soil temperature is a frequently used variable in machine learning (ML) approaches for modelling those intricate pr... read more 

An optimized graph neural network approach for robust and explainable IoT intrusion detection against adversarial attacks.

Scientific reports May 11, 2026
The swift incorporation of cutting edge technologies has expanded the range for a potential adversary to conduct adaptive attacks against systems and despite progress in detection, machine learning based security remains vulnerable, highlighting the ... read more 

Search-guided regression ensembles for accurate, interpretable, and uncertainty-aware construction cost estimation.

Scientific reports May 11, 2026
Accurate and interpretable construction cost estimation remains a major challenge due to complex nonlinear dependencies, heterogeneous data distributions, and inherent uncertainty in project parameters. To overcome these limitations, this study propo... read more 

Dissecting self-supervised learning strategies for transfer learning in MRI prostate cancer diagnosis.

Scientific reports May 11, 2026
Deep learning (DL) has driven major progress in medical imaging diagnosis. However, its effectiveness is often limited by the scarcity of large annotated datasets and the poor generalization of models to small, out-of-distribution (OOD) data. Self-su... read more 

Dynamic analysis for employment substitution effect of robots fused with deep learning models and artificial intelligence.

Scientific reports May 11, 2026
The purpose of this study is to address the problem of separation between temporal dynamics and network structure in analyzing the employment substitution effect of robots. The study proposes a dynamically coupled model integrating Graph Convolutiona... read more 

Artificial Intelligence in Breast Cancer Lymph Node Evaluation: Is Neoadjuvant Chemotherapy the Achilles' Heel?

Archives of pathology & laboratory medicine May 11, 2026
CONTEXT.—: Artificial intelligence (AI) has demonstrated high accuracy in detecting lymph node (LN) metastases in treatment-naïve invasive breast cancer. However, its performance post-neoadjuvant chemotherapy (NACT) remains underexplored, where thera... read more 

Network Connectivity-based stream classification for the Conterminous United States.

Scientific data May 11, 2026
Stream classification plays an important role in the study and management of freshwater ecosystems. Many classification schemes exist that focus predominantly on physical habitat, hydrology, and thermal regimes, but few frameworks explicitly include ... read more 

Point tracking as a temporal Cue for robust myocardial segmentation in echocardiography videos.

International journal of computer assisted radiology and surgery May 11, 2026
PURPOSE: Myocardium segmentation in echocardiography videos is a challenging task due to low contrast, noise, and anatomical variability. Traditional deep learning models either process frames independently, ignoring temporal information, or rely on ... read more 

Machine learning-guided synthesis of nitrogen-doped carbon dots for fluorometric determination of Fe(III) in water.

Mikrochimica acta May 11, 2026
A machine learning (ML)-assisted strategy has been applied to optimize nitrogen-doped carbon dots  (N-CDs) synthesized via a solvothermal route using glutathione, urea, and formamide as the specific precursor system. A dataset of 250 samples was cons... read more 

A deep hybrid CNN-BiLSTM-BiGRU architecture with explainability for mild cognitive impairment detection using EEG.

Brain informatics May 11, 2026
Accurate detection of Mild Cognitive Impairment (MCI) is critical for timely intervention and for slowing progression to Alzheimer's disease. Electroencephalography (EEG) offers a non-invasive and cost-effective measure of brain activity; however, it... read more 
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