AIMC Topic: Middle Aged

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Prospective evaluation of deep learning image reconstruction for Lung-RADS and automatic nodule volumetry on ultralow-dose chest CT.

PloS one Feb 22, 2024
PURPOSE: To prospectively evaluate whether Lung-RADS classification and volumetric nodule assessment were feasible with ultralow-dose (ULD) chest CT scans with deep learning image reconstruction (DLIR).
Female Deep Learning Aged Image Processing, Computer-Assisted Middle Aged Humans Radiographic Image Interpretation, Computer-Assisted Lung Lung Neoplasms Prospective Studies Radiation Dosage Tomography, X-Ray Computed
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Improving Access to Eye Care Through Community Health Screenings Using Artificial Intelligence.

Ophthalmic epidemiology Feb 21, 2024
PURPOSE: To the best of our knowledge, implementation of artificial intelligence (AI)-based vision screening in community health fair settings has not been previously studied. This prospective cohort study explored the incorporation of AI in a commun...
Humans Artificial Intelligence Prospective Studies Female Vision Screening Middle Aged Surveys and Questionnaires Health Services Accessibility Community Health Services Aged Adult Male
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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 ...
Humans Artificial Intelligence Female Aged Aged, 80 and over Plastic Surgery Procedures Surgeons Young Adult Internet Middle Aged Comprehension Adult Adolescent Male Microsurgery
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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...
Magnetic Resonance Imaging Radiologists Image Interpretation, Computer-Assisted Male Middle Aged Deep Learning Glioma Female Adult Humans Brain Neoplasms Neural Networks, Computer
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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...
Sepsis Triage Emergency Service, Hospital Adult Male Middle Aged Humans Machine Learning Anti-Bacterial Agents Female Aged
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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 Mortality Clinical Deterioration Hospital Rapid Response Team Humans Machine Learning Female Prospective Studies Aged Male Middle Aged
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Segmentation of liver and liver lesions using deep learning.

Physical and engineering sciences in medicine Feb 21, 2024
Segmentation of organs and lesions could be employed for the express purpose of dosimetry in nuclear medicine, assisted image interpretations, and mass image processing studies. Deep leaning created liver and liver lesion segmentation on clinical 3D ...
Male Middle Aged Deep Learning Liver Neoplasms Humans Female Imaging, Three-Dimensional Image Processing, Computer-Assisted Magnetic Resonance Imaging Liver
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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...
Humans Tomography, X-Ray Computed Female Aged Atrial Fibrillation Heart Atria Pericardium Epicardial Adipose Tissue Male Middle Aged Deep Learning Workflow
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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...
Leg Length Inequality Retrospective Studies Aged Middle Aged Case-Control Studies Robotics Robotic Surgical Procedures Osteoarthritis Arthroplasty, Replacement, Hip Humans
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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.
Adult Breast Neoplasms Middle Aged Deep Learning Retrospective Studies Humans Ultrasonography, Mammary ROC Curve Female Neural Networks, Computer Nomograms Breast Aged Follow-Up Studies Biopsy
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