Artificial Intelligence Medical Compendium

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

Showing 8,911 to 8,920 of 208,441 articles

Fluid-based biomarkers of amyotrophic lateral sclerosis: recent advances and future prospects.

Brain research May 29, 2026
Amyotrophic lateral sclerosis (ALS) is a devastating neurodegenerative disorder with no definitive cure. The absence of specific diagnostic biomarkers leads to diagnostic delays, hindering early intervention and management. This review provides a cri... read more 

Automated dairy cattle body condition score using side-view images and deep learning.

Journal of dairy science May 29, 2026
Body condition score (BCS) is key to assessing the health, productivity, and energy balance of dairy cows. However, traditional manual methods are time-intensive, dependent on evaluator experience, and prone to subjective biases, limiting large-scale... read more 

Development and validation of a serum microRNA biomarker panel for bovine Johne's disease.

Journal of dairy science May 29, 2026
Johne's disease (JD) is a chronic wasting disease of ruminants caused by Mycobacterium avium subspecies paratuberculosis (MAP). For decades, JD management has been hampered by the lack of a sensitive diagnostic test. Here we have developed a machine-... read more 

Image-driven in situ grading of compost maturity using deep feature clustering and supervised prediction.

Bioresource technology May 29, 2026
Accurate and cost-effective grading of compost maturity is critical for agronomic safety and process optimization. This study developed an image-driven in situ grading framework for compost maturity using deep feature clustering and supervised predic... read more 

Achieving high-quality and safe compost: a study on multi-optimization of a non-linear system using machine learning.

Bioresource technology May 29, 2026
Composting represents one of the most effective strategies for animal manure utilization, while its yield efficiency and product safety are constrained by critical bottlenecks including excess nutrient loss and persistence of hazardous residues. Ther... read more 

Deep Learning-Based Diagnosis of Parotid Gland Tumors on CT Images: A Multi-view Approach for Preoperative Differentiation of Benign and Malignant Lesions.

Journal of stomatology, oral and maxillofacial surgery May 29, 2026
BACKGROUND: Accurate preoperative differentiation between benign and malignant parotid gland tumors is essential for guiding surgical planning and treatment decisions. However, early-stage malignant tumors often lack distinctive imaging features on c... read more 

Development and validation of a noninvasive machine learning model using urinary extracellular vesicle physical parameters for prostate cancer diagnosis.

Scientific reports May 29, 2026
Urinary extracellular vesicles (uEVs) are promising biomarkers for prostate cancer (PCa). Although novel uEV-based biomarkers have advanced early diagnosis, their detection processes remain cumbersome and cost-prohibitive. The physical parameters of ... read more 

Authorship identification for Chinese literature based on a pyramid deep bidirectional gated recurrent unit network with voting strategy.

Scientific reports May 29, 2026
Identifying the author of given textual excerpts is a challenging and significant task in computational linguistics. In this paper, we propose a novel deep-learning model structured based on a Pyramid Deep Bidirectional Gated Recurrent Unit (biGRU) n... read more 

A temporal adaptive dictionary-constrained LDA and Bi-calibrated dual granularity DTM framework for dynamic topic evolution analysis in academic papers.

Scientific reports May 29, 2026
With the explosive growth of academic achievements in artificial intelligence (AI), accurately capturing the dynamic evolution of research topics is crucial for research topic selection, policy-making, and industrial innovation. To address the limita... read more 

Predictive analysis of tensile strength in FDM Fabricated PLA wood composite materials.

Scientific reports May 29, 2026
A computational modeling strategy was established to predict the tensile strength of polylactic acid (PLA) reinforced with wood particles fabricated using fused deposition modeling (FDM). Three different predictive approaches-Artificial Neural Networ... read more 
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