Artificial Intelligence Medical Compendium

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

Showing 26,901 to 26,910 of 218,547 articles

A hybrid deep learning framework for accurate N6,2'-O-Dimethyladenosine site prediction.

Biophysical chemistry
N6,2'-O-dimethyladenosine (m6Am) is a critical RNA modification that plays a pivotal role in regulating RNA stability, translation efficiency, and gene expression. Accurate computational identification of m6Am sites is essential for advancing epitran... read more 

Artificial intelligence-based reclassification of gastric adenocarcinoma enables prognostic stratification via diffuse-type patch proportion.

International journal of medical informatics
BACKGROUND: Gastric adenocarcinoma (GAC) remains a major global health burden with marked heterogeneity, complicating diagnosis and prognostic assessment. The Laurén classification, though widely used, suffers from interobserver variability, particul... read more 

Rapid identification of different processing degrees of Eucommiae cortex based on machine learning and explainable artificial intelligence.

Food chemistry
This study integrated machine learning and explainable artificial intelligence (XAI) to classify four processing degrees of Eucommiae cortex (EC): raw, under-processed, moderately processed and over-processed. Powder characteristics (L⁎, a⁎, b⁎), and... read more 

Color image security technique combining encryption and data hiding for healthcare applications.

Computer methods and programs in biomedicine
BACKGROUND AND OBJECTIVE: With the rapid growth of internet technologies, the transmission and storage of multimedia data have become increasingly convenient. However, digital images, especially in the healthcare domain, are often more popular and se... read more 

FKDNuSeg: Flawless knowledge distillation for lightweight and fast nuclei instance segmentation and classification.

Medical image analysis
Nuclei segmentation and classification is a fundamental task in the field of computational pathology. Existing approaches have demonstrated outstanding performance. However, they still suffer from the efficiency problem due to the extremely huge reso... read more 

Powering next-generation precision therapeutics through integrated synthetic transcriptional systems.

Cell reports
Mammalian synthetic biology holds great promise for treating complex diseases but faces challenges such as functional leakage and imprecise control dynamics. The advent of synthetic promoters (synPs) and transcription factors (synTFs) has expanded th... read more 

BundleParc: Consistent white matter bundle parcellation without tractography.

Medical image analysis
Tractometry, also known as tract profiling, is a powerful technique for probing microstructural properties along white matter (WM) tracts. A prerequisite for tractography-based tractometry is bundle parcellation-the subdivision of WM bundles into sma... read more 

From structural complexity to causal representation: A dynamic fractal-attention framework for fine-grained ovarian tumor classification in ultrasound.

Medical image analysis
Accurate fine-grained classification of ovarian tumors from ultrasound images remains challenging due to speckle noise, boundary ambiguity, structural heterogeneity, and acquisition-induced spurious correlations. To address these issues, we propose a... read more 

Artificial Intelligence in Minimally Invasive Gynecological Surgery: A Systematic Review of Task- Specific Performance and Clinical Translational Readiness.

Journal of minimally invasive gynecology
OBJECTIVE: To systematically evaluate the task-specific performance and clinical translational readiness of artificial intelligence (AI) applications across the preoperative, intraoperative, and postoperative phases of minimally invasive gynecologic ... read more 

An investigation into factors associated with adolescent internet gaming disorder: utilizing machine learning and path analysis model.

Journal of affective disorders
With the evolving structure of modern internet gaming, adolescent internet gaming disorder (IGD) has become an increasingly serious public health concern demanding societal attention. Recent research has shifted towards employing more robust machine ... read more