AIMC Topic: Prospective Studies
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Deep Learning Reconstruction Shows Better Lung Nodule Detection for Ultra-Low-Dose Chest CT.
Radiology
Jan 18, 2022
Background Ultra-low-dose (ULD) CT could facilitate the clinical implementation of large-scale lung cancer screening while minimizing the radiation dose. However, traditional image reconstruction methods are associated with image noise in low-dose ac...
Impact of robotic single and dual console systems in the training of minimally invasive gynecology surgery (MIGS) fellows.
Journal of robotic surgery
Jan 13, 2022
The advantages of dual console use in robotic surgical education have not been described. The aims of this study are to compare fellow console time, surgical steps performed, and surgical takeovers between attending and fellow surgeons using dual ver...
Effects of Using Artificial Intelligence on Interpersonal Perceptions of Job Applicants.
Cyberpsychology, behavior and social networking
Jan 12, 2022
Text-based artificial intelligence (AI) systems are increasingly integrated into a host of interpersonal domains. Although decision-making and person perception in hiring and employment opportunities have been an area of psychological interest for ma...
Reduced-Dose Deep Learning Reconstruction for Abdominal CT of Liver Metastases.
Radiology
Jan 11, 2022
Background Assessment of liver lesions is constrained as CT radiation doses are lowered; evidence suggests deep learning reconstructions mitigate such effects. Purpose To evaluate liver metastases and image quality between reduced-dose deep learning ...
Using Machine Learning to Identify Metabolomic Signatures of Pediatric Chronic Kidney Disease Etiology.
Journal of the American Society of Nephrology : JASN
Jan 11, 2022
BACKGROUND: Untargeted plasma metabolomic profiling combined with machine learning (ML) may lead to discovery of metabolic profiles that inform our understanding of pediatric CKD causes. We sought to identify metabolomic signatures in pediatric CKD b...
Does single-site robotic surgery makes sense for gallbladder surgery?
The international journal of medical robotics + computer assisted surgery : MRCAS
Jan 10, 2022
BACKGROUND: Cholecystectomy is one of the most performed surgeries. Several techniques were created, generating less pain, better aesthetic results and faster return to activities. Robotic surgery through a single portal combined the advantages of si...
Colonoscopic image synthesis with generative adversarial network for enhanced detection of sessile serrated lesions using convolutional neural network.
Scientific reports
Jan 7, 2022
Computer-aided detection (CADe) systems have been actively researched for polyp detection in colonoscopy. To be an effective system, it is important to detect additional polyps that may be easily missed by endoscopists. Sessile serrated lesions (SSLs...
Artificial intelligence predicts clinically relevant atrial high-rate episodes in patients with cardiac implantable electronic devices.
Scientific reports
Jan 7, 2022
To assess the utility of machine learning (ML) algorithms in predicting clinically relevant atrial high-rate episodes (AHREs), which can be recorded by a pacemaker. We aimed to develop ML-based models to predict clinically relevant AHREs based on the...
Contactless facial video recording with deep learning models for the detection of atrial fibrillation.
Scientific reports
Jan 7, 2022
Atrial fibrillation (AF) is often asymptomatic and paroxysmal. Screening and monitoring are needed especially for people at high risk. This study sought to use camera-based remote photoplethysmography (rPPG) with a deep convolutional neural network (...
Reproducibility of Results
Aged
Aged, 80 and over
Male
Humans
Prospective Studies
Female
Predictive Value of Tests
Time Factors
Skin
Regional Blood Flow
Heart Rate
Image Processing, Computer-Assisted
Middle Aged
Atrial Fibrillation
Video Recording
Photoplethysmography
Face
Electrocardiography
Diagnosis, Computer-Assisted
Pulsatile Flow
Deep Learning
Thin-Slice Pituitary MRI with Deep Learning-Based Reconstruction for Preoperative Prediction of Cavernous Sinus Invasion by Pituitary Adenoma: A Prospective Study.
AJNR. American journal of neuroradiology
Jan 6, 2022
BACKGROUND AND PURPOSE: Accurate radiologic prediction of cavernous sinus invasion by pituitary adenoma remains challenging. We aimed to assess whether 1-mm-slice-thickness MRI with deep learning-based reconstruction can better predict cavernous sinu...
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