AIMC Topic: Female

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A machine-learning model to identify concurrent vascular disease in symptomatic patients with chronic obstructive pulmonary disease.

Annals of medicine
AIM/INTRODUCTION: Chronic obstructive pulmonary disease (COPD) is a complex, heterogeneous syndrome often accompanied by vascular diseases that worsen prognosis and quality of life. This study aimed to develop a machine learning model to identify con...

Enhancing AI-based diabetic retinopathy diagnosis through universal cross-camera image adaptation.

BMJ open ophthalmology
OBJECTIVE: To evaluate the effectiveness of a deep learning-based style adaptation strategy in improving the diagnostic accuracy and cross-camera generalisability of artificial intelligence (AI) for detecting diabetic retinopathy (DR).

Towards an AI-driven registry for postoperative complications: a proof-of-concept study evaluating the opportunities and challenges of AI models.

BMJ health & care informatics
OBJECTIVES: Postoperative complications (PCs) require substantial resources to manage and are cumbersome to monitor. Artificial intelligence (AI), particularly natural language processing (NLP), offers a potential solution by automating and streamlin...

Continuous wireless sensor monitoring with applied diagnostics: Clinical Sensor Pain Scale and Automated Sensor Pain Scale in the NICU.

BMJ health & care informatics
OBJECTIVES: Inappropriately treated pain can have deleterious outcomes in infants. Current tools rely on intermittent, subjective observation requiring specialised paediatric skills. This study aimed to diagnose infant pain through continuous monitor...

Research on the prediction of slow blood flow in pPCI of STEMI patients based on CatBoost.

European journal of medical research
BACKGROUND: In recent years, the incidence of ST-segment elevation myocardial infarction (STEMI) has been on the rise, leading to an increase in the number of patients undergoing direct percutaneous coronary intervention (pPCI). However, some patient...

Higher hospital level does not improve 30-day survival after road traffic accidents.

Scientific reports
Globally, road traffic accidents (RTAs) remain a major cause of death, particularly among individuals aged 15-30 years. While Sweden has been at the forefront of traffic safety through the Vision Zero initiative, in-hospital management remains crucia...

Machine learning predicts lifespan and suggests underlying causes of death in aging C. elegans.

Communications biology
Aging leads to age-related pathology that causes death, and genes affect lifespan by determining such pathology. Here we investigate how age-related pathology mediates the effect of genetic and environmental interventions on lifespan in C. elegans by...

Reach and implementation of human and AI-assisted diabetic retinopathy screening models in primary healthcare settings in India.

Scientific reports
Diabetic retinopathy (DR) is a leading cause of preventable vision loss. While DR screening is critical, evidence on the reach and implementation of different screening models in primary healthcare settings is limited. This study evaluated the reach ...

Evaluating the reliability and clinical utility of artificial intelligence in first trimester prenatal screening and noninvasive prenatal testing.

Scientific reports
Artificial intelligence (AI) tools like ChatGPT-4o are increasingly utilized in prenatal care. However, their reliability and clinical applicability for healthcare providers in first-trimester screening remain unclear. This study aimed to evaluate th...

A SWI/SNF complex-related genes signature predicts prognosis and immune infiltration in ccRCC with KCNK5 as a novel biomarker.

Scientific reports
Clear cell renal cell carcinoma (ccRCC) is the most common subtype of renal cell carcinoma (RCC). Although we have made many achievements in the therapy of RCC with the progress of medicine, the clinical management of metastatic RCC remains a dauntin...