AIMC Topic: Humans

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Smartphones dependency risk analysis using machine-learning predictive models.

Scientific reports Dec 31, 2022
Recent technological advances have changed how people interact, run businesses, learn, and use their free time. The advantages and facilities provided by electronic devices have played a major role. On the other hand, extensive use of such technology...
Risk Assessment Smartphone Retrospective Studies Risk Factors Humans Machine Learning
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A deep learning model based on fusion images of chest radiography and X-ray sponge images supports human visual characteristics of retained surgical items detection.

International journal of computer assisted radiology and surgery Dec 30, 2022
PURPOSE: Although a novel deep learning software was proposed using post-processed images obtained by the fusion between X-ray images of normal post-operative radiography and surgical sponge, the association of the retained surgical item detectabilit...
X-Rays Foreign Bodies Humans Deep Learning Radiography
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Automated MR Image Prescription of the Liver Using Deep Learning: Development, Evaluation, and Prospective Implementation.

Journal of magnetic resonance imaging : JMRI Dec 30, 2022
BACKGROUND: There is an unmet need for fully automated image prescription of the liver to enable efficient, reproducible MRI.
Aged Adult Humans Male Artificial Intelligence Female Prospective Studies Reproducibility of Results Retrospective Studies Middle Aged Magnetic Resonance Imaging Deep Learning Liver Image Processing, Computer-Assisted Image Interpretation, Computer-Assisted
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The potential role of machine learning in modelling advanced chronic liver disease.

Digestive and liver disease : official journal of the Italian Society of Gastroenterology and the Italian Association for the Study of the Liver Dec 30, 2022
The use of artificial intelligence is rapidly increasing in medicine to support clinical decision making mostly through diagnostic and prediction models. Such models derive from huge databases (big data) including a large variety of health-related in...
Neural Networks, Computer Artificial Intelligence Machine Learning Algorithms Liver Diseases Humans
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External Validation of SpineNet, an Open-Source Deep Learning Model for Grading Lumbar Disk Degeneration MRI Features, Using the Northern Finland Birth Cohort 1966.

Spine Dec 30, 2022
STUDY DESIGN: This is a retrospective observational study to externally validate a deep learning image classification model.
Intervertebral Disc Degeneration Low Back Pain Humans Deep Learning Reproducibility of Results Finland Magnetic Resonance Imaging Birth Cohort Lumbar Vertebrae
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The State of Robotic Partial Nephrectomy: Operative, Functional, and Oncological Outcomes From A Robust Multi-Institution Collaborative.

Urology Dec 30, 2022
OBJECTIVE: To describe the most recent surgical, functional, and oncological outcomes of RPN utilizing one of the largest, prospectively maintained, multi-institution consortium of patients undergoing robotic renal surgery.
Robotics Robotic Surgical Procedures Kidney Neoplasms Nephrectomy Retrospective Studies Humans Treatment Outcome Glomerular Filtration Rate
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Evaluation of deep-learning image reconstruction for chest CT examinations at two different dose levels.

Journal of applied clinical medical physics Dec 30, 2022
AIMS: The aims of the present study were to, for both a full-dose protocol and an ultra-low dose (ULD) protocol, compare the image quality of chest CT examinations reconstructed using TrueFidelity (Standard kernel) with corresponding examinations rec...
Humans Radiation Dosage Deep Learning Algorithms Image Processing, Computer-Assisted Tomography, X-Ray Computed Radiographic Image Interpretation, Computer-Assisted
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Comparison of image quality and pancreatic ductal adenocarcinoma conspicuity between the low-kVp and dual-energy CT reconstructed with deep-learning image reconstruction algorithm.

European journal of radiology Dec 30, 2022
PURPOSE: To compare the image quality and conspicuity of pancreatic ductal adenocarcinoma (PDAC) between the low-kVp and dual-energy pancreatic protocol CT reconstructed with deep-learning image reconstruction (DLIR).
Humans Image Processing, Computer-Assisted Algorithms Aged Contrast Media Signal-To-Noise Ratio Retrospective Studies Pancreatic Neoplasms Male Tomography, X-Ray Computed Deep Learning Radiographic Image Interpretation, Computer-Assisted Carcinoma, Pancreatic Ductal
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Artificial Neural Networks Coupled with MALDI-TOF MS Serum Fingerprinting To Classify and Diagnose Pathological Pain Subtypes in Preclinical Models.

ACS chemical neuroscience Dec 30, 2022
Pathological pain subtypes can be classified as either neuropathic pain, caused by a somatosensory nervous system lesion or disease, or nociplastic pain, which develops without evidence of somatosensory system damage. Since there is no gold standard ...
Artificial Intelligence Pain Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization Humans Neural Networks, Computer
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A Deep Learning Workflow for Mass-Forming Intrahepatic Cholangiocarcinoma and Hepatocellular Carcinoma Classification Based on MRI.

Current oncology (Toronto, Ont.) Dec 30, 2022
OBJECTIVE: Precise classification of mass-forming intrahepatic cholangiocarcinoma (MF-ICC) and hepatocellular carcinoma (HCC) based on magnetic resonance imaging (MRI) is crucial for personalized treatment strategy. The purpose of the present study w...
Liver Neoplasms Carcinoma, Hepatocellular Magnetic Resonance Imaging Humans Workflow Sensitivity and Specificity Bile Ducts, Intrahepatic Deep Learning Bile Duct Neoplasms Cholangiocarcinoma
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