AIMC Topic: Retrospective Studies

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Dosimetric Study of Deep Learning-Guided ITV Prediction in Cone-beam CT for Lung Stereotactic Body Radiotherapy.

Frontiers in public health Mar 22, 2022
PURPOSE: The purpose of this study was to evaluate the accuracy of a lung stereotactic body radiotherapy (SBRT) treatment plan with the target of a newly predicted internal target volume (ITV) and the feasibility of its clinical application. ITV was ...
Lung Humans Lung Neoplasms Deep Learning Retrospective Studies Radiotherapy Planning, Computer-Assisted Radiotherapy Dosage Cone-Beam Computed Tomography Radiosurgery Four-Dimensional Computed Tomography
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The Value of Artificial Intelligence Film Reading System Based on Deep Learning in the Diagnosis of Non-Small-Cell Lung Cancer and the Significance of Efficacy Monitoring: A Retrospective, Clinical, Nonrandomized, Controlled Study.

Computational and mathematical methods in medicine Mar 22, 2022
OBJECTIVE: To explore the value of artificial intelligence (AI) film reading system based on deep learning in the diagnosis of non-small-cell lung cancer (NSCLC) and the significance of curative effect monitoring.
Retrospective Studies Deep Learning Lung Neoplasms Humans Artificial Intelligence Carcinoma, Non-Small-Cell Lung
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Sacrocolpopexy experience with a novel robotic surgical platform.

International urogynecology journal Mar 21, 2022
INTRODUCTION AND HYPOTHESIS: The objective was to describe early experience performing sacrocolpopexy using a novel robotic surgical platform.
Female Middle Aged Treatment Outcome Humans Retrospective Studies Pelvic Organ Prolapse Laparoscopy Robotic Surgical Procedures Gynecologic Surgical Procedures Operative Time Robotics
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Roughness of the renal tumor surface could predict the surgical difficulty of robot-assisted partial nephrectomy.

Asian journal of endoscopic surgery Mar 21, 2022
INTRODUCTION: Preoperative prediction of surgical difficulty of partial nephrectomy (PN) is essential to minimize the perioperative complications and to achieve a good surgical outcome. Recently, various scoring systems have been used to evaluate the...
Kidney Neoplasms Ischemia Nephrectomy Glomerular Filtration Rate Robotics Robotic Surgical Procedures Retrospective Studies Treatment Outcome Humans
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"Virtual" attenuation correction: improving stress myocardial perfusion SPECT imaging using deep learning.

European journal of nuclear medicine and molecular imaging Mar 21, 2022
PURPOSE: Myocardial perfusion imaging (MPI) using single-photon emission computed tomography (SPECT) is widely used for coronary artery disease (CAD) evaluation. Although attenuation correction is recommended to diminish image artifacts and improve d...
Coronary Artery Disease Perfusion Tomography, Emission-Computed, Single-Photon Deep Learning Image Processing, Computer-Assisted Myocardial Perfusion Imaging Humans Retrospective Studies
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Surgical and Functional Outcomes of Bladder Neck Incision for Primary Vesico-Urethral Anastomosis Stricture after Robot-assisted Radical Prostatectomy are Influenced by the Presence of Pre- or Postoperative Radiotherapy.

Urology Mar 19, 2022
OBJECTIVE: To report the intermediate- to long-term outcomes of bladder neck incision (BNI) for vesico-urethral anastomosis stricture (VUAS) after robot-assisted radical prostatectomy (RARP) and the influence of pre- or post-RARP radiotherapy on thes...
Humans Constriction, Pathologic Anastomosis, Surgical Treatment Outcome Retrospective Studies Prostatectomy Urethral Stricture Robotics Male Urinary Bladder Robotic Surgical Procedures
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Using Preoperative and Intraoperative Factors to Predict the Risk of Surgical Site Infections After Lumbar Spinal Surgery: A Machine Learning-Based Study.

World neurosurgery Mar 19, 2022
OBJECTIVE: To develop a model based on machine learning to predict surgical site infection (SSI) risk in patients after lumbar spinal surgery (LSS).
Retrospective Studies Risk Factors Neurosurgical Procedures Surgical Wound Infection Humans Machine Learning Algorithms
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Comparison and verification of two deep learning models for the detection of chest CT rib fractures.

Acta radiologica (Stockholm, Sweden : 1987) Mar 18, 2022
BACKGROUND: A high false-positive rate remains a technical glitch hindering the broad spectrum of application of deep-learning-based diagnostic tools in routine radiological practice from assisting in diagnosing rib fractures.
Humans Sensitivity and Specificity Rib Fractures Deep Learning Retrospective Studies Thorax Tomography, X-Ray Computed
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Validation of a deep learning segmentation algorithm to quantify the skeletal muscle index and sarcopenia in metastatic renal carcinoma.

European radiology Mar 18, 2022
OBJECTIVES: To validate a deep learning (DL) algorithm for measurement of skeletal muscular index (SMI) and prediction of overall survival in oncology populations.
Kidney Neoplasms Carcinoma, Renal Cell Sarcopenia Muscle, Skeletal Humans Algorithms Retrospective Studies Deep Learning
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Autonomous diagnosis of pediatric cutaneous vascular anomalies using a convolutional neural network.

International journal of pediatric otorhinolaryngology Mar 18, 2022
OBJECTIVES: Design and validate a novel handheld device for the autonomous diagnosis of pediatric vascular anomalies using a convolutional neural network (CNN).
Capillaries Retrospective Studies Vascular Malformations Cross-Sectional Studies Child Humans Neural Networks, Computer
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