Artificial Intelligence Medical Compendium

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

Showing 26,611 to 26,620 of 218,283 articles

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

Medical image analysis Apr 24, 2026
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 Apr 24, 2026
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 Apr 24, 2026
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 Apr 24, 2026
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 Apr 24, 2026
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 Apr 24, 2026
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 

Integrative multi-kingdom gut microbiome analysis uncovers clinical signatures of major depressive disorder.

Journal of affective disorders Apr 24, 2026
BACKGROUND: Accumulating evidence indicates that gut microbiome is significantly altered in major depressive disorder (MDD). However, most studies have focused on bacteria, while the functional and ecological contributions of eukaryotes, archaea, and... read more 

Reporting software tools and automation in the protocols of evidence syntheses: Meta-research study.

Journal of clinical epidemiology Apr 24, 2026
INTRODUCTION: The growing volume of primary research and the increasing demand for timely, high-quality evidence syntheses (ESs) have intensified interest in using software, automation, and artificial intelligence. While guidance such as PRISMA 2020 ... read more 

Daily Mortality Prediction Under Compound Environmental Stressors: Comparing Epidemiological Time Series Models and Machine Learning Models.

Environmental research Apr 24, 2026
Accurate prediction of daily mortality is vital for effective early warning systems and the strategic allocation of medical resources, particularly given the rising public health challenges posed by climate change. This study presents a comparative a... read more 

Leveraging machine learning and experimental screening of sulfur sources to mediate interlayer engineering of Li4Ti5O12 ion sieves.

Environmental research Apr 24, 2026
Lithium ion sieves are promising materials for lithium extraction from liquids, but achieving high adsorption remains challenging. In this study, machine learning (ML) was employed to predict non-metal element-doped lithium ion sieves. A comparative ... read more 
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