Artificial Intelligence Medical Compendium

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

Showing 58,861 to 58,870 of 227,876 articles

Hybrid deep learning model for air quality prediction and its impact on healthcare.

Scientific reports Jan 23, 2026
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HMC-transducer: hierarchical mamba-CNN transducer for robust liver tumor segmentation.

NPJ digital medicine Jan 23, 2026
Accurate segmentation of liver tumors from computed tomography (CT) scans is critical for clinical diagnosis and treatment planning, yet it remains a significant challenge due to the high variability in tumor shape, size, and indistinct boundaries. E... read more 

Sex disparities in deep learning estimation of ejection fraction from cardiac magnetic resonance imaging.

NPJ digital medicine Jan 23, 2026
The advent of artificial intelligence in cardiovascular imaging holds immense potential for earlier diagnoses, precision medicine, and improved disease management. However, the presence of sex-based disparities and strategies to mitigate biases in de... read more 

Age matters: a narrative review and machine learning analysis on shared and separate multidimensional risk domains for early and late onset suicidal behavior.

Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology Jan 23, 2026
There is considerable heterogeneity among late-life suicide attempters who can present stark differences in their suicidal trajectories. This work provides a narrative review of sources of heterogeneity of suicide risk in late-life depression and des... read more 

Hybrid deep learning framework MedFusionNet assists multilabel biomedical risk stratification from imaging and tabular data.

Communications medicine Jan 23, 2026
BACKGROUND: Multi-label medical image classification is challenging due to complex inter-label dependencies, data imbalance, and the need to integrate multiple data modalities. These challenges hinder the development of robust and interpretable diagn... read more 

Prospective real-world implementation of deep learning systems in healthcare: a systematic review guided by implementation science.

NPJ digital medicine Jan 23, 2026
Deep learning (DL) applications in healthcare are expanding beyond proof-of-concept studies. Yet, the extent of its real-world implementation and impact on patient care and clinical workflows remains unclear due to the limited prospective real-world ... read more 

Evaluating gait system vulnerabilities through PPO and GAN-generated adversarial attacks.

Scientific reports Jan 23, 2026
This study delves into the vulnerabilities of deep learning-based gait recognition systems against adversarial attacks, a critical issue considering the increasing reliance on these technologies in high-security environments. We highlight a major iss... read more 

Explainable Hybrid Deep Learning Framework Integrating MobileNetV2, EfficientNetV2B0, and KNN for MRI-Based Brain Tumor Classification.

Cellular and molecular neurobiology Jan 23, 2026
Magnetic resonance imaging (MRI) is central to noninvasive brain tumor assessment, yet clinical uptake of artificial intelligence depends on both accuracy and transparency. This study presents a lightweight and interpretable hybrid framework that fus... read more 

Serum peptidomics by MALDI-TOF MS coupled with machine learning approaches for diagnosis of primary liver cancer.

Analytical and bioanalytical chemistry Jan 23, 2026
Primary liver cancer (PLC) is one of the most common malignant tumors worldwide. Due to its insidious onset, 70 to 80% of patients are diagnosed at an advanced stage. Only about 20% of patients present detectable symptoms in the early stages, and thi... read more 

IPATH: A Large-Scale Pathology Image-Text Dataset from Instagram for Vision-Language Model Training.

Journal of imaging informatics in medicine Jan 23, 2026
Recent advancements in artificial intelligence (AI) have revealed important patterns in pathology images imperceptible to human observers that can improve diagnostic accuracy and decision support systems. However, progress has been limited due to the... read more 
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