AIMC Topic: Female

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Adaptive modelling approach for predicting causes of death: insights from verbal autopsy data in Tanzania.

International health
BACKGROUND: The World Health Organization (WHO) has approved the use of a verbal autopsy (VA), a survey-based approach to generate out-of-hospital causes of death (CoDs). Through this study, an adaptive Bayesian networks machine learning model was de...

Artifact-robust Deep Learning-based Segmentation of 3D Phase-contrast MR Angiography: A Novel Data Augmentation Approach.

Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine
This study presents a novel data augmentation approach to improve deep learning (DL)-based segmentation for 3D phase-contrast magnetic resonance angiography (PC-MRA) images affected by pulsation artifacts. Augmentation was achieved by simulating puls...

Generative Artificial Intelligence-based Surveillance for Avian Influenza Across a Statewide Healthcare System.

Clinical infectious diseases : an official publication of the Infectious Diseases Society of America
Among all 2024 emergency department visits for acute respiratory illness or conjunctivitis across a statewide healthcare system (n = 13 494), generative artificial intelligence-based surveillance with adjunctive human review rapidly and cost-effectiv...

Association between exposure to air pollution and kidney function decline.

Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association
BACKGROUND AND HYPOTHESIS: Chronic kidney disease is a major global health concern, with air pollution increasingly recognized as a key contributor to kidney function decline. This study hypothesizes that exposure to air pollution accelerates kidney ...

Perceptions of artificial intelligence in healthcare: a qualitative study among healthcare professionals in Jordan.

BMJ leader
PURPOSE: While there are studies on this topic, there may be a relative scarcity of research focusing on specific regions, such as Jordan. So, this study aims to gather insights from healthcare providers in Jordan concerning the advantages of integra...

Using Machine Learning Algorithms to Identify Key Predictors of Invasive Mold Infection Surveillance.

The Journal of infectious diseases
BACKGROUND: Invasive mold infections (IMI) can lead to severe morbidity and mortality, but routine public health surveillance is lacking. Although extensive evaluation is needed for clinical diagnosis, case classification prediction models may inform...

P22 Using VECTRA and AI analysis to monitor paediatric lesions: a review of cases.

The British journal of dermatology
BACKGROUND: Paediatric melanoma is a rare but important diagnosis. In the paediatric cohort, diagnostic challenges arise due to lesion variability and the inherent difficulties associated with paediatric assessment. Clinical decision-making is furthe...

[Identification of high-risk preoperative blood indicators and baseline characteristics for multiple postoperative complications in rheumatoid arthritis patients undergoing total knee arthroplasty: a multi-machine learning feature contribution analysis].

Zhongguo xiu fu chong jian wai ke za zhi = Zhongguo xiufu chongjian waike zazhi = Chinese journal of reparative and reconstructive surgery
OBJECTIVE: To explore, identify, and develop novel blood-based indicators using machine learning algorithms for accurate preoperative assessment and effective prediction of postoperative complication risks in patients with rheumatoid arthritis (RA) u...

Integrative Analysis of Endothelial Cell Senescence-Related Genes in Idiopathic Pulmonary Fibrosis.

FASEB journal : official publication of the Federation of American Societies for Experimental Biology
Idiopathic pulmonary fibrosis (IPF) is a progressive interstitial lung disease in which endothelial cell senescence (ECS) plays a key role. By integrating two GEO transcriptome datasets (145 IPF patients and 84 controls) and applying LASSO, SVM-RFE, ...