AIMC Topic: Aged

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Both Patients and Plastic Surgeons Prefer Artificial Intelligence-Generated Microsurgical Information.

Journal of reconstructive microsurgery Feb 21, 2024
BACKGROUND:  With the growing relevance of artificial intelligence (AI)-based patient-facing information, microsurgical-specific online information provided by professional organizations was compared with that of ChatGPT (Chat Generative Pre-Trained ...
Plastic Surgery Procedures Humans Internet Artificial Intelligence Comprehension Female Aged Aged, 80 and over Young Adult Adult Male Surgeons Middle Aged Adolescent Microsurgery
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Real-time machine learning-assisted sepsis alert enhances the timeliness of antibiotic administration and diagnostic accuracy in emergency department patients with sepsis: a cluster-randomized trial.

Internal and emergency medicine Feb 21, 2024
Machine learning (ML) has been applied in sepsis recognition across different healthcare settings with outstanding diagnostic accuracy. However, the advantage of ML-assisted sepsis alert in expediting clinical decisions leading to enhanced quality fo...
Humans Machine Learning Anti-Bacterial Agents Female Aged Triage Emergency Service, Hospital Adult Male Middle Aged Sepsis
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Real-Time Machine Learning Alerts to Prevent Escalation of Care: A Nonrandomized Clustered Pragmatic Clinical Trial.

Critical care medicine Feb 21, 2024
OBJECTIVES: Machine learning algorithms can outperform older methods in predicting clinical deterioration, but rigorous prospective data on their real-world efficacy are limited. We hypothesized that real-time machine learning generated alerts sent d...
Hospital Rapid Response Team Male Middle Aged Hospital Mortality Clinical Deterioration Machine Learning Prospective Studies Female Aged Humans
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Deep learning-based workflow for automatic extraction of atria and epicardial adipose tissue on cardiac computed tomography in atrial fibrillation.

Journal of the Chinese Medical Association : JCMA Feb 21, 2024
BACKGROUND: Preoperative estimation of the volume of the left atrium (LA) and epicardial adipose tissue (EAT) on computed tomography (CT) images is associated with an increased risk of atrial fibrillation (AF) recurrence. We aimed to design a deep le...
Epicardial Adipose Tissue Workflow Atrial Fibrillation Heart Atria Pericardium Humans Tomography, X-Ray Computed Female Aged Male Middle Aged Deep Learning
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Direct anterior approach with conventional instruments versus robotic posterolateral approach in elective total hip replacement for primary osteoarthritis: a case-control study.

Journal of orthopaedics and traumatology : official journal of the Italian Society of Orthopaedics and Traumatology Feb 21, 2024
BACKGROUND: The purpose of this study is to compare peri-operative and short-term outcomes in patients who underwent elective total hip replacement (THA) for primary osteoarthritis (OA) with direct anterior approach (DAA) versus a pair-matched cohort...
Aged Middle Aged Case-Control Studies Humans Robotics Arthroplasty, Replacement, Hip Robotic Surgical Procedures Retrospective Studies Leg Length Inequality Osteoarthritis
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Biopsy or Follow-up: AI Improves the Clinical Strategy of US BI-RADS 4A Breast Nodules Using a Convolutional Neural Network.

Clinical breast cancer Feb 20, 2024
OBJECTIVES: To develop predictive nomograms based on clinical and ultrasound features and to improve the clinical strategy for US BI-RADS 4A lesions.
Deep Learning Aged Humans Adult Biopsy ROC Curve Neural Networks, Computer Breast Neoplasms Ultrasonography, Mammary Nomograms Retrospective Studies Middle Aged Breast Follow-Up Studies Female
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INTERPRETABLE MACHINE LEARNING FOR PREDICTING RISK OF INVASIVE FUNGAL INFECTION IN CRITICALLY ILL PATIENTS IN THE INTENSIVE CARE UNIT: A RETROSPECTIVE COHORT STUDY BASED ON MIMIC-IV DATABASE.

Shock (Augusta, Ga.) Feb 20, 2024
The delayed diagnosis of invasive fungal infection (IFI) is highly correlated with poor prognosis in patients. Early identification of high-risk patients with invasive fungal infections and timely implementation of targeted measures is beneficial for...
Critical Illness Intensive Care Units Female Risk Factors Invasive Fungal Infections Machine Learning Aged Humans Algorithms Adult Databases, Factual Male Retrospective Studies Middle Aged
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Diagnostic accuracy of artificial intelligence-enabled vectorcardiography versus myocardial perfusion SPECT in patients with suspected or known coronary heart disease.

Nuklearmedizin. Nuclear medicine Feb 20, 2024
AIM: The present study evaluated with myocardial perfusion SPECT (MPS) the diagnostic accuracy of an artificial intelligence-enabled vectorcardiography system (Cardisiography, CSG) for detection of perfusion abnormalities.
Adult Tomography, Emission-Computed, Single-Photon Coronary Artery Disease Artificial Intelligence Humans Sensitivity and Specificity Myocardial Perfusion Imaging Female Coronary Disease Vectorcardiography Male Reproducibility of Results Middle Aged Aged
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Upper gastrointestinal haemorrhage patients' survival: A causal inference and prediction study.

European journal of clinical investigation Feb 20, 2024
BACKGROUND: Upper gastrointestinal (GI) bleeding is a common medical emergency. This study aimed to develop models to predict critically ill patients with upper GI bleeding in-hospital and 30-day survival, identify the correlation factor and infer th...
Critical Illness Intensive Care Units Female Aged Humans Machine Learning Algorithms Prognosis Causality Male Bilirubin Gastrointestinal Hemorrhage Middle Aged Organ Dysfunction Scores Length of Stay Hospital Mortality Glasgow Coma Scale
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Accelerating computer vision-based human identification through the integration of deep learning-based age estimation from 2 to 89 years.

Scientific reports Feb 20, 2024
Computer Vision (CV)-based human identification using orthopantomograms (OPGs) has the potential to identify unknown deceased individuals by comparing postmortem OPGs with a comprehensive antemortem CV database. However, the growing size of the CV da...
Humans Neural Networks, Computer Computers Middle Aged Infant Deep Learning Adolescent Child, Preschool Aged Aged, 80 and over Young Adult Adult Child Image Processing, Computer-Assisted Forensic Anthropology
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