Menopause

Association of initial core volume on non-contrast CT using a deep learning algorithm with clinical outcomes in acute ischemic stroke: a potential tool for selection and prognosis?

BACKGROUND: In an extended time window, contrast-based neuroimaging is valuable for treatment select...

Non-invasive meningitis screening in neonates and infants: multicentre international study.

BACKGROUND AND OBJECTIVES: Meningitis diagnosis requires a lumbar puncture (LP) to obtain cerebrospi...

Early and non-destructive prediction of the differentiation efficiency of human induced pluripotent stem cells using imaging and machine learning.

The reproducibility and robustness of many directed differentiation protocols from human induced plu...

A 23-gene multi-omics signature predicts prognosis and treatment response in non-small cell lung cancer.

Artificial Intelligence in digital pathology of breast cancer, new era of practice?

Breast cancer is the most common cancers among women worldwide. Early diagnosis and personalized med...

Osteoarthritis progression pattern based on patient specific characteristics using machine learning.

This study aimed to identify key factors associated with different progression patterns of early ost...

Embryo metabolism as a novel non-invasive preimplantation test: nutrients turn over and metabolomic analysis of human spent embryo culture media (SECM).

BACKGROUND: Single embryo transfer is globally recommended during IVF treatments. Hence, there is a ...

Manipulation of neuronal activity by an artificial spiking neural network implemented on a closed-loop brain-computer interface in non-human primates.

Closed-loop brain-computer interfaces can be used to bridge, modulate, or repair damaged connections...

Quantitative modeling of mortality patterns in dogs exposed to alpha particle emitting radionuclides: Insights from competing risks and causal inference machine learning.

This study employed state-of-the-art machine learning to evaluate the mortality effects of alpha-emi...

Comparison of Expert Vocabulary Usage Patterns between Mental Health and Non-Mental Health Clinicians When Diagnosing Pediatric Anxiety Disorders.

OBJECTIVE: To compare the utilization patterns of expert vocabulary (EVo) in diagnosing pediatric an...

Collaborative assessment of the risk of postoperative progression in early-stage non-small cell lung cancer: a robust federated learning model.

BACKGROUND: While the TNM staging system provides valuable insights into the extent of disease, pred...

A systematic review via text mining approaches of human and veterinary applications of photobiomodulation: focus on multiwave locked system laser therapy.

To evaluate scientific literature regarding the application of Photobiomodulation (PBM), with a spec...

Establishment of an interpretable MRI radiomics-based machine learning model capable of predicting axillary lymph node metastasis in invasive breast cancer.

This study sought to develop a radiomics model capable of predicting axillary lymph node metastasis ...

Comparison of conventional and radiomics-based analysis of myocardial infarction using multimodal non-linear optical microscopy.

Myocardial infarction, a leading cause of mortality worldwide, leaves survivors at significant risk ...

A Participatory Artificial Intelligence Driven Shift-Scheduling Application for Improving Sleep Among Shift-Working Caregivers: A 4-Month Non-Randomised Controlled Study With Cross-Over Design.

Here, we examine the effectiveness of a participatory artificial intelligence (AI)-driven shift-sche...

Development of a machine learning-derived model to predict unplanned ICU admissions after major non-cardiac surgery.

BACKGROUND: Unplanned postoperative intensive care unit admissions (UIAs) are rare events that cause...

Opportunistic computed tomography (CT) assessment of osteoporosis in patients undergoing transcatheter aortic valve replacement (TAVR).

UNLABELLED: CT-based opportunistic screening using artificial intelligence finds a high prevalence (...

Non-invasive tests of fibrosis in the management of MASLD: revolutionising diagnosis, progression and regression monitoring.

With the recent conditional approval of resmetirom by the US Food and Drug Administration, the treat...

Diagnostics of Autoimmune Hepatitis Enabled by Non-Invasive Clinical Proteomics.

BACKGROUND: Autoimmune hepatitis (AIH) may be difficult to diagnose and distinguish clinically and b...

Machine learning to evaluate the effects of non-clinical social determinant features in predicting colorectal Cancer mortality in a medically underserved Appalachian population.

Colorectal cancer (CRC) is the 2nd leading cause of cancer death in the United States (US). Rural Ap...

Artificial intelligence-based diabetes risk prediction from longitudinal DXA bone measurements.

Diabetes mellitus (DM) is a serious global health concern that poses a significant threat to human l...