Artificial Intelligence Medical Compendium

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

Showing 45,271 to 45,280 of 224,055 articles

Multi task learning based early prediction model for antibiotic resistance using multi institutional cohort data.

Scientific reports Mar 3, 2026
Antibiotic resistance poses a significant global health challenge, with its rapid emergence driven by inappropriate antibiotic use. This study aimed to develop and compare machine learning models to predict resistance to nine antibiotic classes in ho... read more 

Feature-indistinguishable machine unlearning via negative-hot label encoding and class weight masking.

Scientific reports Mar 3, 2026
With the growing importance of data privacy and regulatory compliance, machine unlearning has become a critical requirement in deep learning. However, existing approaches often require access to the original training data, incur substantial computati... read more 

Deep language model-based early recognition of out-of-hospital cardiac arrest from real-time emergency calls.

NPJ digital medicine Mar 3, 2026
We developed a dynamic deep learning model (DyLM-OHCA) for early out-of-hospital cardiac arrest (OHCA) detection. Using 158,973 emergency call transcripts from three South Korean metropolitan regions, we trained DyLM-OHCA for 60 s OHCA identification... read more 

Intelligent monitoring and CNN-based performance evaluation of borehole-pipe-pump gas drainage systems in coal mines.

Scientific reports Mar 3, 2026
Efficient gas drainage is crucial for safe coal mine production and the clean utilization of gas resources. Despite recent advances, complex geological conditions and unstable system operation limit the effectiveness of traditional monitoring in unde... read more 

Foreign object detection in power transmission lines using SESYOLO.

Scientific reports Mar 3, 2026
The complex environment of power transmission lines renders foreign object attachment to electrical equipment a frequent cause of faults. However, existing object detection frameworks struggle to accurately identify the types of foreign objects. This... read more 

Novel universal domain-centric method for protein classification.

Scientific reports Mar 3, 2026
Human protein kinases constitute a large superfamily of about 500 genes, historically classified into subfamilies based on phylogenetic relationship. However, many kinases remain unclassified. Phylogeny is typically based on multiple sequence alignme... read more 

Development and multicenter validation of an explainable machine learning diagnostic criteria for pediatric abdominal sepsis.

NPJ digital medicine Mar 3, 2026
Accurate identification of early pediatric abdominal sepsis (PAS) is essential to improving outcomes, yet most existing pediatric sepsis criteria and scoring tools primarily focus on cardiopulmonary dysfunction and overlook early intra-abdominal infe... read more 

Toward robust automated cardiovascular arrhythmia detection using self-supervised learning and 1-dimensional vision transformers.

Scientific reports Mar 3, 2026
Cardiovascular diseases are the leading cause of death worldwide. With electrocardiogram (ECG) machines becoming more accessible, passive monitoring for arrhythmia detection is now possible. This work highlights the importance of self-supervised lear... read more 

Evaluating deep learning sepsis prediction models in ICUs under distribution shift: a multi-centre retrospective cohort study.

NPJ digital medicine Mar 3, 2026
Sepsis prediction models trained on ICU data often fail to generalize under external validation because of distribution shift. Prior studies have focused on direct model deployment or conventional transfer learning methods (e.g., fine-tuning), yet sy... read more 

Exploring AI in radiology: a bibliometric study tailored to a research path.

Radiologie (Heidelberg, Germany) Mar 3, 2026
Radiology has been profoundly transformed by artificial intelligence (AI) over the past decade, enabling automated detection, enhanced diagnostic accuracy, and more personalized patient care. In this study, we performed a bibliometric analysis of the... read more 
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