AIMC Topic: Humans

Clear Filters Showing 7121 to 7130 of 95995 articles

CT-based radiogenomic analysis to predict high-risk colon cancer (ATTRACT): a multicentric trial.

European radiology
OBJECTIVE: Clinical staging on CT has several biases, and a radiogenomics approach could be proposed. The study aimed to test the performance of a radiogenomics approach in identifying high-risk colon cancer.

Reappraising machine learning models for vascular calcification in CKD: methodological concerns and clinical gaps.

International urology and nephrology
Lin et al. (Int Urol Nephrol, 2025) contribute to the literature on abdominal aortic calcification (AAC) in chronic kidney disease (CKD) using interpretable machine learning. However, several limitations hinder its clinical applicability. The cross-s...

Toward responsible artificial intelligence in medicine: Reflections from the Australian epilepsy project.

Artificial intelligence in medicine
Artificial intelligence (AI) is a multidisciplinary scientific field that uses machines to solve real-world problems and predict outcomes. Despite the current enthusiasm about AI's potential as a clinical support tool, there is also a growing awarene...

A review of techniques of third space endoscopy for gastrointestinal tumors.

Current opinion in gastroenterology
PURPOSE OF REVIEW: This review explores the evolving landscape of third-space endoscopy (TSE) techniques for the management of gastrointestinal (GI) tumors. With rapid technological advances and accumulating evidence, there is a pressing need to synt...

Specificity protein 1 suppresses prohibitin 1 to induce macrophage M1 polarization and impair phagocytosis, exacerbating sepsis-associated acute lung injury.

Free radical biology & medicine
Sepsis-related acute lung injury (ALI) is a severe and life-threatening complication characterized by excessive inflammation and immune dysfunction. Macrophages play a central role in the pathogenesis of ALI, with dysregulated polarization and impair...

Pharmacy students' perceptions of artificial intelligence integration in pharmacy practice: Ethical challenges in multiple countries of the MENA region.

Currents in pharmacy teaching & learning
BACKGROUND: The integration of artificial intelligence (AI) into pharmacy practice has the potential to advance learning experiences and prepare future pharmacists for evolving healthcare needs. However, it also raises ethical considerations that nee...

Investigating Symptom Duration Using Current Status Data: A Case Study of Postacute COVID-19 Syndrome.

Epidemiology (Cambridge, Mass.)
BACKGROUND: For infectious diseases, characterizing symptom duration is of clinical and public health importance. Symptom duration may be assessed by surveying infected individuals and querying symptom status at the time of survey response. For examp...

Enhancing patient-centered care with AI: a study of responses to neuroendocrine neoplasms queries.

Endocrine
INTRODUCTION: Large Language Models (LLMs) are increasingly used in oncology, but their application in neuroendocrine neoplasms (NENs) is still unexplored.

Preliminary analysis of AI-based thyroid nodule evaluation in a non-subspecialist endocrinology setting.

Endocrine
PURPOSE: Thyroid nodules are commonly evaluated using ultrasound-based risk stratification systems, which rely on subjective descriptors. Artificial intelligence (AI) may improve assessment, but its effectiveness in non-subspecialist settings is uncl...

Pelvic inflammatory disease prevalence and dietary phosphorus: A cross-sectional analysis of the National Health and Nutrition Examination Survey, 2015-2018.

International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics
OBJECTIVE: Emerging evidence suggests dietary components may modulate inflammatory conditions, yet the role of phosphorus in pelvic inflammatory disease (PID) remains unclear. This study investigated the association between dietary phosphorus intake ...