AIMC Topic: Feasibility Studies
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Performance of an artificial intelligence algorithm for reporting urine cytopathology.
Cancer cytopathology
Aug 14, 2019
BACKGROUND: Unlike Papanicolaou tests, there are no commercially available computer-assisted automated screening systems for urine specimens. Despite The Paris System for Reporting Urinary Cytology, there still is poor interobserver agreement with ur...
Network latency and long-distance robotic telestenting: Exploring the potential impact of network delays on telestenting performance.
Catheterization and cardiovascular interventions : official journal of the Society for Cardiac Angiography & Interventions
Aug 13, 2019
OBJECTIVE: This study evaluated the impact of network latency on telestenting performance.
Feasibility of robotic telestenting over long geographic distances: a pre-clinical ex vivo and in vivo study.
EuroIntervention : journal of EuroPCR in collaboration with the Working Group on Interventional Cardiology of the European Society of Cardiology
Aug 9, 2019
Comparison of text processing methods in social media-based signal detection.
Pharmacoepidemiology and drug safety
Aug 7, 2019
PURPOSE: Adverse event (AE) identification in social media (SM) can be performed using various types of natural language processing (NLP) and machine learning (ML). These methods can be categorized by complexity and precision level. Co-occurrence-bas...
Data Collection
Pharmacovigilance
Datasets as Topic
False Negative Reactions
Natural Language Processing
Feasibility Studies
Drug-Related Side Effects and Adverse Reactions
Retrospective Studies
False Positive Reactions
Sensitivity and Specificity
Adverse Drug Reaction Reporting Systems
Social Media
A Concentric Tube Robot System for Rigid Bronchoscopy: A Feasibility Study on Central Airway Obstruction Removal.
Annals of biomedical engineering
Jul 24, 2019
New robotic systems have recently emerged to assist with peripheral lung access, but a robotic system for rigid bronchoscopy has yet to be developed. We describe a new robotic system that can deliver thin robotic manipulators through the ports of sta...
Beltrami-net: domain-independent deep D-bar learning for absolute imaging with electrical impedance tomography (a-EIT).
Physiological measurement
Jul 23, 2019
OBJECTIVE: To develop, and demonstrate the feasibility of, a novel image reconstruction method for absolute electrical impedance tomography (a-EIT) that pairs deep learning techniques with real-time robust D-bar methods and examine the influence of p...
Deep-learning-assisted automatic digitization of applicators in 3D CT image-based high-dose-rate brachytherapy of gynecological cancer.
Brachytherapy
Jul 22, 2019
PURPOSE: Applicator digitization is one of the most critical steps in 3D high-dose-rate brachytherapy (HDRBT) treatment planning. Motivated by recent advances in deep-learning, we propose a deep-learning-assisted applicator digitization method for 3D...
Natural language processing of Reddit data to evaluate dermatology patient experiences and therapeutics.
Journal of the American Academy of Dermatology
Jul 12, 2019
BACKGROUND: There is a lack of research studying patient-generated data on Reddit, one of the world's most popular forums with active users interested in dermatology. Techniques within natural language processing, a field of artificial intelligence, ...
In-Bore Transrectal MRI-Guided Biopsy With Robotic Assistance in the Diagnosis of Prostate Cancer: An Analysis of 57 Patients.
AJR. American journal of roentgenology
Jul 3, 2019
The objective of our study was to analyze the feasibility and potential role of robotic-assisted transrectal MRI-guided biopsy for the diagnosis of prostate cancer. A total of 57 patients (mean age, 67 ± 6 [SD] years; age range, 57-83 years; mean p...
Artificial Intelligence Algorithms to Assess Hormonal Status From Tissue Microarrays in Patients With Breast Cancer.
JAMA network open
Jul 3, 2019
IMPORTANCE: Immunohistochemistry (IHC) is the most widely used assay for identification of molecular biomarkers. However, IHC is time consuming and costly, depends on tissue-handling protocols, and relies on pathologists' subjective interpretation. I...
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