AIMC Topic: Adenoma

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MR-Based Radiomics for Differential Diagnosis between Cystic Pituitary Adenoma and Rathke Cleft Cyst.

Computational and mathematical methods in medicine Aug 10, 2021
BACKGROUND: It is often tricky to differentiate cystic pituitary adenoma from Rathke cleft cyst with visual inspection because of similar MRI presentations between them. We aimed to design an MR-based radiomics model for improving differential diagno...
Retrospective Studies Female Adult Male Middle Aged Diagnosis, Computer-Assisted Computational Biology Humans Neural Networks, Computer Machine Learning Diagnosis, Differential Magnetic Resonance Imaging Image Interpretation, Computer-Assisted Pituitary Neoplasms Semantics Adenoma Central Nervous System Cysts
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Reducing adenoma miss rate of colonoscopy assisted by artificial intelligence: a multicenter randomized controlled trial.

Journal of gastroenterology Jul 3, 2021
BACKGROUND: We have developed the computer-aided detection (CADe) system using an original deep learning algorithm based on a convolutional neural network for assisting endoscopists in detecting colorectal lesions during colonoscopy. The aim of this ...
Artificial Intelligence Female Aged Aged, 80 and over Humans Early Detection of Cancer Adenoma Robotic Surgical Procedures Japan Adult Male Middle Aged Colonoscopy
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A Gastrointestinal Endoscopy Quality Control System Incorporated With Deep Learning Improved Endoscopist Performance in a Pretest and Post-Test Trial.

Clinical and translational gastroenterology Jun 15, 2021
INTRODUCTION: Gastrointestinal endoscopic quality is operator-dependent. To ensure the endoscopy quality, we constructed an endoscopic audit and feedback system named Endo.Adm and evaluated its effect in a form of pretest and posttest trial.
Quality Improvement Middle Aged Quality Indicators, Health Care China Risk Factors Colonoscopy Clinical Competence Early Detection of Cancer Deep Learning Humans Adult Adenoma Feedback Female Male
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Current status and limitations of artificial intelligence in colonoscopy.

United European gastroenterology journal Jun 7, 2021
BACKGROUND: Artificial intelligence (AI) using deep learning methods for polyp detection (CADe) and characterization (CADx) is on the verge of clinical application. CADe already implied its potential use in randomized controlled trials. Further effor...
Humans Artificial Intelligence Colonoscopy Diagnosis, Computer-Assisted Colonic Neoplasms Quality Improvement Colonic Polyps Clinical Trials as Topic Deep Learning Adenoma Randomized Controlled Trials as Topic Precancerous Conditions
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Unsupervised Monocular Depth Estimation for Colonoscope System Using Feedback Network.

Sensors (Basel, Switzerland) Apr 11, 2021
A colonoscopy is a medical examination used to check disease or abnormalities in the large intestine. If necessary, polyps or adenomas would be removed through the scope during a colonoscopy. Colorectal cancer can be prevented through this. However, ...
Colonoscopy Adenoma Colonoscopes Humans Artificial Intelligence Feedback
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Handcrafted MRI radiomics and machine learning: Classification of indeterminate solid adrenal lesions.

Magnetic resonance imaging Mar 13, 2021
PURPOSE: To assess a radiomic machine learning (ML) model in classifying solid adrenal lesions (ALs) without fat signal drop on chemical shift (CS) as benign or malignant.
Retrospective Studies Support Vector Machine Magnetic Resonance Imaging Adenoma Humans Machine Learning
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Predicting benign, preinvasive, and invasive lung nodules on computed tomography scans using machine learning.

The Journal of thoracic and cardiovascular surgery Feb 16, 2021
OBJECTIVE: The study objective was to investigate if machine learning algorithms can predict whether a lung nodule is benign, adenocarcinoma, or its preinvasive subtype from computed tomography images alone.
Adenoma Diagnosis, Differential Diagnosis, Computer-Assisted Lung Neoplasms Adenocarcinoma Humans Machine Learning Algorithms Retrospective Studies Tomography, X-Ray Computed Female Male
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Pure and Hybrid Deep Learning Models can Predict Pathologic Tumor Response to Neoadjuvant Therapy in Pancreatic Adenocarcinoma: A Pilot Study.

The American surgeon Dec 31, 2020
BACKGROUND: Neoadjuvant therapy may improve survival of patients with pancreatic adenocarcinoma; however, determining response to therapy is difficult. Artificial intelligence allows for novel analysis of images. We hypothesized that a deep learning ...
Pancreaticoduodenectomy Neoadjuvant Therapy Adenoma Pancreatic Neoplasms Middle Aged Deep Learning Pilot Projects Treatment Outcome Female Aged Humans Male Retrospective Studies Tomography, X-Ray Computed
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Thin-Slice Pituitary MRI with Deep Learning-based Reconstruction: Diagnostic Performance in a Postoperative Setting.

Radiology Nov 3, 2020
Background Achieving high-spatial-resolution pituitary MRI is challenging because of the trade-off between image noise and spatial resolution. Deep learning-based MRI reconstruction enables image denoising with sharp edges and reduced artifacts, whic...
Pituitary Gland Female Humans Deep Learning Adenoma Postoperative Care Image Interpretation, Computer-Assisted Magnetic Resonance Imaging Neoplasm Invasiveness Pituitary Neoplasms Male Middle Aged
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Automatic deep learning-based colorectal adenoma detection system and its similarities with pathologists.

BMJ open Sep 10, 2020
OBJECTIVES: The microscopic evaluation of slides has been gradually moving towards all digital in recent years, leading to the possibility for computer-aided diagnosis. It is worthwhile to know the similarities between deep learning models and pathol...
Deep Learning Humans Colorectal Neoplasms Adenoma Diagnosis, Computer-Assisted Pathologists
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