AIMC Topic: Male

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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
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
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...

A holistic framework for intradialytic hypotension prediction using generative adversarial networks-based data balancing.

BMC medical informatics and decision making
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
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...

An investigation of multimodal EMG-EEG fusion strategies for upper-limb gesture classification.

Journal of neural engineering
. 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...

oDigital pathology biomarkers for guiding radiotherapy-based treatment concepts in prostate cancer - a systematic review and expert consensus.

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology
Current risk-stratification systems for prostate cancer (PCa) do not sufficiently reflect the disease heterogeneity, and digital pathology (DP) combined with artificial intelligence (AI) tools (DP-AI) may offer a solution to this challenge. The aim o...

Metaverse-based deep learning framework for coronary artery stenosis classification using Monte Carlo Dropout-based ResNet-152.

Computers in biology and medicine
Metaverse offers an immersive healthcare platform that combines virtual reality (VR) and artificial intelligence (AI), providing a new approach to medical diagnostics. However, difficulties such as inadequate spatial resolution, uncertainty managemen...

Effect of robot-assisted rehabilitation of patients with Parkinson's disease: A meta-analysis.

Clinical rehabilitation
ObjectiveThis meta-analysis evaluates the effectiveness of robot-assisted rehabilitation on various functional outcomes in patients with Parkinson's disease.Data sourcesA comprehensive search was conducted in databases including PubMed, Embase, Cochr...

Artificial intelligence in prostate cancer.

Chinese medical journal
Prostate cancer (PCa) ranks as the second most prevalent malignancy among men worldwide. Early diagnosis, personalized treatment, and prognosis prediction of PCa play a crucial role in improving patients' survival rates. The advancement of artificial...