Artificial Intelligence Medical Compendium

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

Showing 63,301 to 63,310 of 230,760 articles

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 

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 
Network Pharmacology Aloe Protein Interaction Maps Biomarkers Quercetin TWEAK Receptor Keloid Medicine, Chinese Traditional Gene Expression Profiling Transcriptome Molecular Docking Simulation Machine Learning Humans Interleukin-6

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 
Neural Networks, Computer Brain Algorithms Humans Alzheimer Disease Aged Female Male Magnetic Resonance Imaging Genetic Algorithms

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 
Colorectal Neoplasms Radiomics Adult Middle Aged Support Vector Machine Male Female Aged Risk Factors Retrospective Studies Tomography, X-Ray Computed Machine Learning Lymphatic Metastasis Humans

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 Suicide Prevention Internship and Residency Program Development Program Evaluation Research Personnel Psychiatry Humans Data Science Artificial Intelligence Students

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 

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 

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 

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 

Order-Aware Deep Learning for Drug Combination Benefit Prediction in Cancer Cell Lines.

IEEE journal of biomedical and health informatics Jan 16, 2026
Drug combination therapy has exhibited favorable effects in treating cancer patients, with less toxicity and adverse reactions compared to monotherapy. To accelerate the discovery of therapeutic drug combinations, numerous computational methods have ... read more 
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