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Genome sequencing is critical for forecasting outcomes following congenital cardiac surgery.
Nature communications
Jul 10, 2025
While exome and whole genome sequencing have transformed medicine by elucidating the genetic underpinnings of both rare and common complex disorders, its utility to predict clinical outcomes remains understudied. Here, we use artificial intelligence ...
Theory-based chatbot for promoting colorectal cancer screening in a community setting in Hong Kong: study protocol of a randomised controlled trial.
BMJ open
Jul 10, 2025
BACKGROUND: Colorectal cancer (CRC) is the third most common cancer and the second leading cause of cancer mortality worldwide. Despite the organised CRC screening programme, the uptake rate of the population-based CRC screening was still low. Thus, ...
Bias in vital signs? Machine learning models can learn patients' race or ethnicity from the values of vital signs alone.
BMJ health & care informatics
Jul 10, 2025
OBJECTIVES: To investigate whether machine learning (ML) algorithms can learn racial or ethnic information from the vital signs alone.
AI Predictive Model of Mortality and Intensive Care Unit Admission in the COVID-19 Pandemic: Retrospective Population Cohort Study of 12,000 Patients.
Journal of medical Internet research
Jul 10, 2025
BACKGROUND: One of the main challenges with COVID-19 has been that although there are known factors associated with a worse prognosis, clinicians have been unable to predict which patients, with similar risk factors, will die or require intensive car...
Multi-class subarachnoid hemorrhage severity prediction: addressing challenges in predicting rare outcomes.
Neurosurgical review
Jul 10, 2025
Accurately predicting the severity of subarachnoid hemorrhage (SAH) is critical for informing clinical decisions and improving patient outcomes. This study addresses the challenges of imbalanced data in SAH severity classification by employing the Mo...
Recurrence prediction of invasive ductal carcinoma from preoperative contrast-enhanced computed tomography using deep convolutional neural network.
Biomedical physics & engineering express
Jul 10, 2025
Predicting the risk of breast cancer recurrence is crucial for guiding therapeutic strategies, including enhanced surveillance and the consideration of additional treatment after surgery. In this study, we developed a deep convolutional neural networ...
A holistic framework for intradialytic hypotension prediction using generative adversarial networks-based data balancing.
BMC medical informatics and decision making
Jul 10, 2025
BACKGROUND: Intradialytic Hypotension (IDH) is a frequent complication in hemodialysis, yet predictive modeling is challenged by class imbalance. Traditional oversampling methods often struggle with complex clinical data. This study evaluates an enha...
TRIM29 alleviates intervertebral disc degeneration through the PI3K/AKT/mTOR pathway.
Scientific reports
Jul 10, 2025
Intervertebral disc degeneration (IDD), a prevalent spinal condition linked to low back pain, has substantial genetic components, necessitating deeper understanding of its mechanisms. This study categorized nucleus pulposus cell (NPC) populations and...
BIScreener: enhancing breast cancer ultrasound diagnosis through integrated deep learning with interpretability.
Analytical methods : advancing methods and applications
Jul 10, 2025
Breast cancer is the leading cause of death among women worldwide, and early detection through the standardized BI-RADS framework helps physicians assess the risk of malignancy and guide appropriate diagnostic and treatment decisions. In this study, ...
An investigation of multimodal EMG-EEG fusion strategies for upper-limb gesture classification.
Journal of neural engineering
Jul 10, 2025
. Upper-limb gesture identification is an important problem in the advancement of robotic prostheses. Prevailing research into classifying electromyographic (EMG) muscular data or electroencephalographic (EEG) brain data for this purpose is often lim...
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