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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 ...
Microsurgery Plastic Surgery Procedures Internet Comprehension Aged Aged, 80 and over Young Adult Adult Male Surgeons Middle Aged Adolescent Humans Artificial Intelligence Female
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Auto-segmentation of Adult-Type Diffuse Gliomas: Comparison of Transfer Learning-Based Convolutional Neural Network Model vs. Radiologists.

Journal of imaging informatics in medicine Feb 21, 2024
Segmentation of glioma is crucial for quantitative brain tumor assessment, to guide therapeutic research and clinical management, but very time-consuming. Fully automated tools for the segmentation of multi-sequence MRI are needed. We developed and p...
Image Interpretation, Computer-Assisted Glioma Magnetic Resonance Imaging Radiologists Humans Neural Networks, Computer Female Adult Brain Neoplasms Male Middle Aged Deep Learning
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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 Sepsis Triage Emergency Service, Hospital Aged Adult Male Middle Aged
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Age and sex estimation in cephalometric radiographs based on multitask convolutional neural networks.

Oral surgery, oral medicine, oral pathology and oral radiology Feb 20, 2024
OBJECTIVES: Age and sex characteristics are evident in cephalometric radiographs (CRs), yet their accurate estimation remains challenging due to the complexity of these images. This study aimed to harness deep learning to automate age and sex estimat...
Deep Learning Humans Adolescent Female Neural Networks, Computer Sex Determination by Skeleton Adult Child Age Determination by Skeleton Sensitivity and Specificity Cephalometry Male
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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.
Ultrasonography, Mammary Breast ROC Curve Nomograms Follow-Up Studies Biopsy Breast Neoplasms Middle Aged Retrospective Studies Deep Learning Female Aged Humans Adult Neural Networks, Computer
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Fully automated deep learning model for detecting proximity of mandibular third molar root to inferior alveolar canal using panoramic radiographs.

Oral surgery, oral medicine, oral pathology and oral radiology Feb 20, 2024
OBJECTIVE: This study endeavored to develop a novel, fully automated deep-learning model to determine the topographic relationship between mandibular third molar (MM3) roots and the inferior alveolar canal (IAC) using panoramic radiographs (PRs).
Molar, Third Adult Cone-Beam Computed Tomography Mandibular Nerve Humans Male Mandible Tooth Root Retrospective Studies Middle Aged Radiography, Panoramic Female Deep Learning
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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...
Adult Male Middle Aged Humans Intensive Care Units Algorithms Machine Learning Invasive Fungal Infections Female Databases, Factual Risk Factors Retrospective Studies Aged Critical Illness
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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.
Humans Coronary Artery Disease Coronary Disease Tomography, Emission-Computed, Single-Photon Myocardial Perfusion Imaging Vectorcardiography Adult Sensitivity and Specificity Male Middle Aged Artificial Intelligence Female Reproducibility of Results Aged
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Deep learning and predictive modelling for generating normalised muscle function parameters from signal images of mandibular electromyography.

Medical & biological engineering & computing Feb 20, 2024
Challenges arise in accessing archived signal outputs due to proprietary software limitations. There is a notable lack of exploration in open-source mandibular EMG signal conversion for continuous access and analysis, hindering tasks such as pattern ...
Humans Female Young Adult Adult Electromyography Male Temporomandibular Joint Deep Learning Masseter Muscle Mastication Mandible Signal Processing, Computer-Assisted
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Assessing Verbal Eyewitness Confidence Statements Using Natural Language Processing.

Psychological science Feb 20, 2024
After an eyewitness completes a lineup, officers are advised to ask witnesses how confident they are in their identification. Although researchers in the lab typically study eyewitness confidence numerically, confidence in the field is primarily gath...
Mental Recall Humans Crime Adult Recognition, Psychology Natural Language Processing Police
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