Artificial Intelligence Medical Compendium

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

Showing 55,061 to 55,070 of 226,647 articles

Towards accurate and interpretable competency-based assessment: enhancing clinical competency assessment through multimodal AI and anomaly detection.

NPJ digital medicine Feb 3, 2026
Artificial Intelligence (AI) is reshaping medical education, particularly in the domain of competency-based assessment, where current methods remain subjective and resource-intensive. We introduce a multimodal AI framework that integrates video, audi... read more 

Development and validation of an artificial intelligence-based model for diagnosing benign, borderline, and malignant adnexal masses.

NPJ precision oncology Feb 3, 2026
Classification of benign, borderline, and malignant adnexal masses is critical to effective clinical management, but remains a challenge. We developed Clinical-Ovarian Multi-Task Attention (Clinical-OMTA), an artificial intelligence model based on a ... read more 

Detection of Swallowing Abnormalities in Pediatric FEES Recordings Using Rule-Based and Model-Based Methods.

Journal of imaging informatics in medicine Feb 3, 2026
Pediatric swallowing dysfunction (SwD) poses serious health risks, including aspiration, malnutrition, and recurrent respiratory infections, making early and accurate diagnosis essential for preventing long-term sequelae such as chronic lung disease ... read more 

IIC-DTI: A Contrastive Learning Enhanced Inter-Intra Molecular Fusing Framework for Drug-Target Interaction Prediction.

Interdisciplinary sciences, computational life sciences Feb 3, 2026
PURPOSE: Predicting drug-target interactions (DTIs) is a practical demand in drug development and drug repositioning. Therefore, developing accurate and efficient DTI prediction methods has significant application value. Current models focus on the f... read more 

FHGNet: A Feature-Centric Hierarchical Network with Graph Attention Layer for Supraventricular Tachycardia Classification.

Interdisciplinary sciences, computational life sciences Feb 3, 2026
Automated electrocardiogram (ECG) classification plays a critical role in arrhythmia diagnosis. However, current deep learning-based methodologies frequently fail to account for physiological rhythms and clinical diagnostic reasoning, thereby comprom... read more 

Immunochromatographic SERS sensor-deep learning combined strategy for intelligent diagnosis of chronic kidney disease.

Mikrochimica acta Feb 3, 2026
A combined "immunochromatographic surface-enhanced Raman scattering (SERS) sensor-deep learning" detection strategy is proposed. Specifically, we first prepared an immunochromatographic SERS sensor with excellent surface enhancement capability for th... read more 

A review of current capabilities and future directions in machine-based emotion recognition.

Cognitive, affective & behavioral neuroscience Feb 3, 2026
The ability of machines to recognize emotions automatically is becoming increasingly significant across many domains where emotional understanding is essential. Such technology is applied in customer interaction, marketing, healthcare, education, the... read more 

Correction: Detecting mangrove seedlings from UAV imagery using deep learning for restoration monitoring.

Scientific reports Feb 3, 2026
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Machine learning models powered by emergency medical services data enhance stroke triage in prehospital settings.

Scientific reports Feb 3, 2026
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Energy-efficient intrusion detection with a protocol-aware transformer-spiking hybrid model.

Scientific reports Feb 3, 2026
Recent intrusion detection studies have achieved high accuracy using deep learning and transformer-based models; however, many approaches suffer from high computational cost, limited energy efficiency, and poor detection of rare attack classes in imb... read more 
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