Artificial Intelligence Medical Compendium

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

Showing 59,701 to 59,710 of 228,014 articles

Personalized surveillance in giant congenital melanocytic nevus, including the role of AI, histopathology and MC1R genotyping: A case report.

Biomedical reports
Giant congenital melanocytic nevi (GCMN) are rare pigmented skin lesions present at birth that carry an increased risk of malignant melanoma and neurocutaneous melanosis. Early diagnosis and long-term follow-up care are essential for high-risk patien... read more 

Exploring potential biomarkers of NETosis-Related genes in spinal cord injury through machine learning and multi-omics analysis.

Biochemistry and biophysics reports
Spinal cord injury (SCI) is a serious condition typically caused by mechanical trauma, often resulting in significant motor, sensory, and autonomic dysfunction. It places a heavy burden on individuals, families, and society; however, effective treatm... read more 

DeeppestNet: An end-to-end framework for high-performance crop pest recognition.

Computational biology and chemistry
Accurate and efficient crop-pest identification is essential for sustainable agriculture. However, noisy background regions make it difficult to accurately identify crop pests since they obstruct the feature extraction process. Furthermore, pest reco... read more 

[Enhancement of radiomics-based machine learning models for predicting efficacy of high-intensity focused ultrasound ablation of uterine fibroids using undersampling methods].

Nan fang yi ke da xue xue bao = Journal of Southern Medical University
OBJECTIVES: To improve the accuracy of machine learning models for preoperative prediction of high-intensity focused ultrasound (HIFU) ablation efficacy for uterine fibroids by correcting class imbalance in small sample datasets using undersampling m... read more 

[Evaluation of an interpretable 12-lead ECG automatic diagnosis model based on deep feature fusion].

Nan fang yi ke da xue xue bao = Journal of Southern Medical University
OBJECTIVES: To enhance the accuracy and reliability of 12-lead electrocardiogram (ECG) automatic diagnosis. METHODS: Herein we propose a 12-lead ECG automatic diagnosis model based on deep feature fusion (MRHL-ECGNet), which consists of a multi-scale... read more 

[Diffusion cycle-consistent generative adversarial networks for pelvic active bone marrow segmentation].

Nan fang yi ke da xue xue bao = Journal of Southern Medical University
OBJECTIVES: To establish a pelvic active bone marrow (ABM) segmentation method based on diffusion cycle-consistent generative adversarial networks for improving individualized precision of conventional anatomical atlas-based methods. METHODS: We coll... read more 

[Research progress of large language models in tumor diagnosis: applications in textual reports and medical imaging].

Nan fang yi ke da xue xue bao = Journal of Southern Medical University
Large language models (LLMs) are emerging artificial intelligence technologies with strong text and image processing capabilities, offering critical support for the intelligent transformation of healthcare and improving clinical efficiency and qualit... read more 

Therapeutic nanofibrous scaffolds in precision drug delivery: formulation design, challenges and regulatory frameworks.

Expert opinion on drug delivery
INTRODUCTION: Drug-loaded nanofibrous systems represent a breakthrough in drug delivery, overcoming limitations of conventional formulations. They demonstrate controlled morphology and flexibility across multiple administration routes, with versatili... read more 

Natural sources and bioactive mechanisms of anti-inflammatory peptides: from digestive metabolism to bioavailability enhancement strategies.

Food chemistry
Anti-inflammatory peptides (AIPs), a class of biologically active molecules with high specificity and low toxicity, demonstrate outstanding potential in replacing traditional anti-inflammatory drugs. In this review, the multiple natural sources of AI... read more