Artificial Intelligence Medical Compendium

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

Showing 60,641 to 60,650 of 228,072 articles

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

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

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 Neural Networks, Computer Algorithms Female Aged Brain Humans

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

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 United Kingdom Ownership Veterinary Medicine Surveys and Questionnaires Decision Making Dogs Male Middle Aged Female Humans Adult Animals

Artificial intelligence-based dairy cattle behavior recognition for estrus detection via ensemble fusion of two camera views.

PloS one Jan 16, 2026
Monitoring cattle behavior plays an important role in improving farm productivity, maintaining animal welfare, and supporting efficient management practices. This study presents a multi-view behavior recognition system that uses synchronized top-view... read more 
Video Recording Dairying Female Behavior, Animal Animals Deep Learning Artificial Intelligence Cattle Estrus Detection

Deep learning with satellite images enables high-resolution income estimation: A case study of Buenos Aires.

PloS one Jan 16, 2026
High-resolution income data is crucial for informing policy decisions as it allows policymakers to better understand the distribution of wealth and poverty. However, obtaining this information is often cost-prohibitive, especially in developing count... read more 
Argentina Satellite Imagery Deep Learning Humans Income Neural Networks, Computer
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