Artificial Intelligence Medical Compendium

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

Showing 60,861 to 60,870 of 228,300 articles

Learning-Based Multi-View Stereo: A Survey.

IEEE transactions on pattern analysis and machine intelligence Jan 16, 2026
3D reconstruction aims to recover the dense 3D structure of a scene. It plays an essential role in various applications such as Augmented/Virtual Reality (AR/VR), autonomous driving and robotics. Leveraging multiple views of a scene captured from dif... read more 

Highly Undersampled MRI Reconstruction via a Single Posterior Sampling of Diffusion Models.

IEEE transactions on medical imaging Jan 16, 2026
Incoherent k-space undersampling and deep learning-based reconstruction methods have shown great success in accelerating MRI. However, the performance of most previous methods will degrade dramatically under high acceleration factors, e.g., 8× or hig... read more 

Confidence-Based Batch Ordering in Continual Learning: A Curriculum Learning Approach for Single-Cell RNA Sequencing Data.

IEEE transactions on computational biology and bioinformatics Jan 16, 2026
Training machine learning models on large datasets, such as those derived from single-cell RNA sequencing (scRNA-seq), poses significant challenges due to high computational and memory demands. Additionally, integrating data from diverse sources intr... read more 

A Mixed Dual-Branch Network for Detecting Cervical Spondylotic Myelopathy and Parkinsonian Syndromes via Gait Analysis.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Jan 16, 2026
Cervical spondylotic myelopathy (CSM) and parkinsonian syndromes (PS) present similar motor symptoms, often causing misdiagnosis due to current clinical diagnostic limitations. Misdiagnosis can exacerbate patient conditions or result in unnecessary s... read more 

Data Science Education for Residents, Researchers, and Students in Psychiatry and Psychology: Program Development and Evaluation Study.

JMIR medical education Jan 16, 2026
BACKGROUND: The use of artificial intelligence (AI) to analyze health care data has become common in behavioral health sciences. However, the lack of training opportunities for mental health professionals limits clinicians' ability to adopt AI in cli... read more 
Natural Language Processing Psychology Data Science Suicide Prevention Internship and Residency Program Development Research Personnel Program Evaluation Humans Artificial Intelligence Psychiatry Students

Radiomics profiling combined with clinical risk factors for preoperative Lymphatic Metastasis prediction in Colorectal cancer: A multicenter study.

PloS one Jan 16, 2026
PURPOSE: Accurate preoperative assessment of regional lymphatic metastases (LNM) is essential for effective surgical selection of patients with colorectal cancer (CRC). This study aimed to develop a machine learning (ML) model that integrates radiomi... read more 
Female Risk Factors Retrospective Studies Tomography, X-Ray Computed Colorectal Neoplasms Radiomics Aged Adult Humans Machine Learning Male Middle Aged Support Vector Machine Lymphatic Metastasis

Alzheimer's disease prediction via an explainable CNN using genetic algorithm and SHAP values.

PloS one Jan 16, 2026
Convolutional neural networks (CNNs) are widely recognized for their high precision in image classification. Nevertheless, the lack of transparency in these black-box models raises concerns in sensitive domains such as healthcare, where understanding... read more 
Alzheimer Disease Genetic Algorithms Male Magnetic Resonance Imaging Female Aged Humans Algorithms Neural Networks, Computer Brain

Machine learning and network pharmacology identify keloid biomarkers (AMPH, TNFRSF9) and therapeutic targets (IL6, HAS2) for aloe-derived quercetin.

PloS one Jan 16, 2026
OBJECTIVE: This study aimed to identify diagnostic biomarkers for keloid and explore potential therapeutic agents from traditional Chinese medicine (TCM) by integrating network pharmacology approaches. Specifically, we sought to uncover key molecular... read more 
Transcriptome Humans Protein Interaction Maps Machine Learning TWEAK Receptor Aloe Molecular Docking Simulation Medicine, Chinese Traditional Network Pharmacology Gene Expression Profiling Quercetin Keloid Interleukin-6 Biomarkers

AI-Assisted Multiplex SYBR Green I-Based qPCR for the Identification and Quantitative Analysis of Oral Microbiota.

Analytical chemistry Jan 16, 2026
Conventional multiplex qPCR faces challenges in quantitative multipathogen detection due to limited fluorescent channels, primer interference, and the high cost of probes. This study developed a novel velocity-controlled PCR (VC-PCR) system integrate... read more 

To see or not to see the vet: A vignette-based study of decision-making by UK dog owners regarding seeking veterinary care for commonly presenting conditions.

PloS one Jan 16, 2026
Barriers to accessing veterinary-care for dog-owners are diverse and dynamic, and widely accepted as major canine welfare threats because of potential non-, under- or delayed treatment. Owner knowledge and perceptions are recognised as key influences... read more 
Dog Diseases Animals United Kingdom Veterinary Medicine Male Ownership Middle Aged Decision Making Humans Surveys and Questionnaires Dogs Female Adult
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