Artificial Intelligence Medical Compendium

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

Showing 271 to 280 of 6,548 articles

Impact of metal oxides on thermal response of zirconia coated diesel engines fueled by Momordica biodiesel machine learning insights.

Scientific reports Jul 21, 2025
Biodiesel presents a favourable economic outlook and environmental benefits, yet it faces limitations such as diminished calorific value and suboptimal combustion characteristics. Recent research focuses on enhancing biodiesel performance using nanop... read more 

Multi-modal emotional analysis in customer relation management and enhancing communication through integrated affective computing.

Scientific reports Jul 21, 2025
An important part of customer relationship management (CRM) is being able to read emails for emotional cues; this helps with both communication and keeping customers satisfied. This study aims to improve email emotion identification by creating a sys... read more 
Humans Neural Networks, Computer Communication Emotions Consumer Behavior Electronic Mail

A novel framework GRCornShot for corn disease detection using few shot learning with prototypical network.

Scientific reports Jul 21, 2025
Precision and timeliness in the detection of plant diseases are important to limit crop losses and maintain global food security. Much work has been performed to detect plant diseases using deep learning methods. However, deep learning techniques dem... read more 
Neural Networks, Computer Algorithms Deep Learning Zea mays Plant Diseases

Accurate deep-learning model to differentiate dementia severity and diagnosis using a portable electroencephalography device.

Scientific reports Jul 20, 2025
Mild cognitive impairment (MCI) and dementia pose significant health challenges in aging societies, emphasizing the need for accessible, cost-effective, and noninvasive diagnostic tools. Electroencephalography (EEG) is a promising biomarker, but trad... read more 
Humans Female Aged Aged, 80 and over Male Middle Aged Severity of Illness Index Deep Learning Cognitive Dysfunction Dementia Electroencephalography

Establishing radar-derived rainfall thresholds for a landslide early warning system: a case study in the Sichuan Basin, Southwest China.

Scientific reports Jul 20, 2025
Rainfall-induced landslides often result in significant human and property losses, and reliable rainfall thresholds can effectively mitigate the hazards associated with them. However, constructing reliable rainfall thresholds in mountainous areas wit... read more 

Auto-embedding transformer under multi-source information fusion for few-shot fault diagnosis.

Scientific reports Jul 20, 2025
Data-driven intelligent fault diagnosis methods have become essential for ensuring the reliability and stability of mechanical systems. However, their practical application is often hindered by the scarcity of labeled samples and the absence of effec... read more 

One-dimensional time-frequency dual-channel visual transformer for bearing fault diagnosis under strong noise and limited data conditions.

Scientific reports Jul 20, 2025
In industrial settings, bearing health directly affects equipment stability, making accurate and efficient fault diagnosis critical for operational safety. Recently, Transformer models have been widely adopted in bearing fault diagnosis due to their ... read more 

Identification of clinical diagnostic and immune cell infiltration characteristics of acute myocardial infarction with machine learning approach.

Scientific reports Jul 20, 2025
Acute myocardial infarction (AMI) is a serious heart disease with high fatality rates. The progress of AMI involves immune cell infiltration. However, suitable clinical diagnostic biomarkers and the roles of immune cells in AMI remain unknown. Three ... read more 
Humans Machine Learning Biomarkers Gene Expression Profiling ROC Curve Gene Regulatory Networks Databases, Genetic Mast Cells Myocardial Infarction

Deep learning framework for interpretable supply chain forecasting using SOM ANN and SHAP.

Scientific reports Jul 20, 2025
Contemporary supply chain networks in the context of the era of Industry 4.0 are becoming more erratic and complex, and have an influx of structured and unstructured data. Conventional practices of supply chain management (SCM) cannot overcome real-t... read more 

Application of machine learning algorithms and SHAP explanations to predict fertility preference among reproductive women in Somalia.

Scientific reports Jul 20, 2025
Fertility preferences significantly influence population dynamics and reproductive health outcomes, particularly in low-resource settings, such as Somalia, where high fertility rates and limited healthcare infrastructure pose significant challenges. ... read more 
Humans Machine Learning Algorithms Female Young Adult Adult Cross-Sectional Studies Middle Aged Adolescent Fertility Somalia
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