Artificial Intelligence Medical Compendium

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

Showing 17,381 to 17,390 of 213,726 articles

Whole genome methylation profiling of menstrual stem cells identifies novel biomarkers for endometriosis.

Communications medicine
BACKGROUND: Endometriosis, despite its high prevalence, is underdiagnosed and poorly managed due to lack of clinically validated biomarkers and pathophysiological insight. Menstrual blood-derived stem cells have been implicated in disease pathogenesi... read more 

AI literacy and school tier moderate educators' ethical coping mechanisms through sedative and reverse Matthew effects.

Scientific reports
The rapid penetration of artificial intelligence in education has triggered unprecedented ethical risk perception and response challenges for educators, but existing research lacks systematic exploration of deep ethical cognitive mechanisms. To addre... read more 

Multi-task deep learning assists detection and diagnosis of gliomas and brain metastases.

NPJ digital medicine
Gliomas and brain metastases (BMs) on MRI pose significant diagnostic challenges for radiologists. This study aims to develop a multi-task model and a computer-aided diagnosis (CAD) system for the detection and diagnosis of gliomas and BMs. This stud... read more 

Artificial intelligence and person-centred practice: a critical reflection.

NPJ digital medicine
The introduction of artificial intelligence into healthcare is a reality. Drawing on literature, this critical reflection uses McCance and McCormack's Person-Centred Practice Framework to examine how artificial intelligence can both advance and under... read more 

Exploring dysregulation of cuproptosis-related genes molecular clusters and candidate biomarkers in pterygium.

Scientific reports
Pterygium is a common ocular surface disorder, with its prevalence strongly correlated to ultraviolet (UV) exposure in geographic regions. Epidemiological investigations reveal significant demographic variations, with higher incidences observed in ar... read more 

Machine learning-based integrative analysis identifies CXCL13-driven tertiary lymphoid structures as favorable immune and prognostic features in osteosarcoma.

Cellular oncology (Dordrecht, Netherlands)
BACKGROUND: Osteosarcoma, an aggressive bone malignancy with limited response to immunotherapy, remains a major clinical challenge. Tertiary lymphoid structures (TLS), as organized ectopic lymphoid aggregates, play a pivotal role in modulating antitu... read more 

Multi-objective optimization in population pharmacokinetic model selection and optimization: application of NSGA-II in pyDarwin.

Journal of pharmacokinetics and pharmacodynamics
The selection of a "good" model usually involves a combination of objective and subjective criteria. Although many aspects of model quality can be expressed numerically, certain desirable characteristics remain difficult-or even impossible-to quantif... read more 

Enhancing Drug Response Prediction in Epilepsy with Emerging Multimodal Models: Focus on Clinical, Pharmacologic, and Genomic Factors.

CNS drugs
Epilepsy is a common neurological disorder, with approximately one-third of the affected population developing drug-resistant epilepsy despite the exponentially increasing number of antiseizure medications (ASMs) that are available. Current ASM selec... read more 

Early laboratory-based differentiation of severe influenza pneumonia and influenza-associated encephalopathy in children using a multi-model, stability-aware machine-learning workflow: a single-center retrospective cohort study.

BMC infectious diseases
BACKGROUND: Influenza-associated encephalopathy and acute necrotizing encephalopathy (ANE) are rare but devastating complications of pediatric influenza, and early differentiation from severe pneumonia without neurological involvement is challenging ... read more 

Diagnostic accuracy of AI-assisted point-of-care ultrasound for abdominal free fluid detection in FAST trauma assessment: a systematic review and meta-analysis.

BMC emergency medicine
STUDY OBJECTIVE: Point-of-care ultrasound (PoCUS) is widely used in trauma care through the Focused Assessment with Sonography for Trauma (FAST) protocol, but its accuracy is highly operator-dependent. Artificial intelligence (AI) may reduce variabil... read more