AIMC Topic: Humans

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Development and validation of a deep learning signature for predicting lymph node metastasis in lung adenocarcinoma: comparison with radiomics signature and clinical-semantic model.

European radiology Sep 28, 2022
OBJECTIVE: To develop and validate a deep learning (DL) signature for predicting lymph node (LN) metastasis in patients with lung adenocarcinoma.
Adenocarcinoma of Lung Deep Learning Lung Neoplasms Lymphatic Metastasis Semantics Lymph Nodes Retrospective Studies Tomography, X-Ray Computed Humans
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The current status and future of FDA-approved artificial intelligence tools in chest radiology in the United States.

Clinical radiology Sep 28, 2022
Artificial intelligence (AI) is becoming more widespread within radiology. Capabilities that AI algorithms currently provide include detection, segmentation, classification, and quantification of pathological findings. Artificial intelligence softwar...
Radiology United States Food and Drug Administration Algorithms Humans United States Radiography, Thoracic Artificial Intelligence
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Artificial Intelligence in Oncological Hybrid Imaging.

RoFo : Fortschritte auf dem Gebiete der Rontgenstrahlen und der Nuklearmedizin Sep 28, 2022
BACKGROUND: Artificial intelligence (AI) applications have become increasingly relevant across a broad spectrum of settings in medical imaging. Due to the large amount of imaging data that is generated in oncological hybrid imaging, AI applications a...
Machine Learning Algorithms Multimodal Imaging Medical Oncology Male Humans Artificial Intelligence
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Robot-assisted all-epiphyseal anterior cruciate ligament reconstruction in skeletally immature patients: a retrospective study.

International orthopaedics Sep 28, 2022
PURPOSE: To review a series of adolescent patients with anterior cruciate ligament (ACL) injuries surgically treated with robot-assisted all-epiphyseal ACL reconstruction (ACLR), and to compare with the traditional freehand group.
Treatment Outcome Robotics Anterior Cruciate Ligament Reconstruction Anterior Cruciate Ligament Injuries Anterior Cruciate Ligament Adolescent Knee Joint Humans Child Retrospective Studies
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A radiomics feature-based machine learning models to detect brainstem infarction (RMEBI) may enable early diagnosis in non-contrast enhanced CT.

European radiology Sep 28, 2022
OBJECTIVES: Magnetic resonance imaging has high sensitivity in detecting early brainstem infarction (EBI). However, MRI is not practical for all patients who present with possible stroke and would lead to delayed treatment. The detection rate of EBI ...
Machine Learning Retrospective Studies Humans Brain Stem Infarctions Tomography, X-Ray Computed Early Diagnosis
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Robotic repair of a branching vesicouterine and vesicovaginal fistula.

International urogynecology journal Sep 28, 2022
INTRODUCTION AND HYPOTHESIS: We present technical considerations and tips for repairing a complex branching vesicouterine and vesicovaginal fistula via a robotic approach.
Humans Pregnancy Robotic Surgical Procedures Adult Urinary Bladder Fistula Female Robotics Cystoscopy Vesicovaginal Fistula Cesarean Section
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Editorial Comment: More Evidence Supporting Deep Learning Reconstructions in Abdominal CT-What Should We Do?

AJR. American journal of roentgenology Sep 28, 2022
Image Processing, Computer-Assisted Abdomen Tomography, X-Ray Computed Deep Learning Humans
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Interpretable deep learning for the prognosis of long-term functional outcome post-stroke using acute diffusion weighted imaging.

Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism Sep 28, 2022
Advances in deep learning can be applied to acute stroke imaging to build powerful and explainable prediction models that could supersede traditionally used biomarkers. We aimed to evaluate the performance and interpretability of a deep learning mode...
Humans Stroke Brain Ischemia Prognosis Diffusion Magnetic Resonance Imaging Deep Learning
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Dysgraphia disorder forecasting and classification technique using intelligent deep learning approaches.

Progress in neuro-psychopharmacology & biological psychiatry Sep 28, 2022
Writing abilities are impacted by dysgraphia, a condition of learning disability. It might be challenging to diagnose dysgraphia at an initial point of a child's upbringing. Problematic abilities linked to Dysgraphia difficulties that is utilized in ...
Handwriting Agraphia Deep Learning Humans Learning Disabilities Child Machine Learning
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Accelerated T2-weighted MRI of the liver at 3 T using a single-shot technique with deep learning-based image reconstruction: impact on the image quality and lesion detection.

Abdominal radiology (New York) Sep 28, 2022
PURPOSE: Fat-suppressed T2-weighted imaging (T2-FS) requires a long scan time and can be wrought with motion artifacts, urging the development of a shorter and more motion robust sequence. We compare the image quality of a single-shot T2-weighted MRI...
Magnetic Resonance Imaging Artifacts Deep Learning Liver Neoplasms Humans Image Processing, Computer-Assisted
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