AIMC Topic: Prospective Studies
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Possible strategies for use of artificial intelligence in screen-reading of mammograms, based on retrospective data from 122,969 screening examinations.
European radiology
Jun 15, 2022
OBJECTIVES: Artificial intelligence (AI) has shown promising results when used on retrospective data from mammographic screening. However, few studies have explored the possible consequences of different strategies for combining AI and radiologists i...
Impact of Artificial Intelligence Assistance on Chest CT Interpretation Times: A Prospective Randomized Study.
AJR. American journal of roentgenology
Jun 15, 2022
Deep learning-based convolutional neural networks have enabled major advances in development of artificial intelligence (AI) software applications. Modern AI applications offer comprehensive multiorgan evaluation. The purpose of this article was to...
Robot-assisted partial nephrectomy with minimum follow-up of 5 years: A multi-center prospective study in Japan.
International journal of urology : official journal of the Japanese Urological Association
Jun 15, 2022
OBJECTIVES: Robot-assisted partial nephrectomy is widely performed for small renal masses, achieving excellent perioperative and intermediate oncological outcomes. However, long-term oncological, functional, and quality of life outcomes after robot-a...
Can a flexible surgical robot be used in the pediatric population: A feasibility study.
International journal of pediatric otorhinolaryngology
Jun 13, 2022
OBJECTIVES: Transoral robotic surgery in adults confers excellent results and decreased morbidity. Application of these techniques has not yet been rigorously investigated in children. The goal of this study is to evaluate the feasibility of a flexib...
A Novel Deep Learning-Based Cooperative Communication Channel Model for Wireless Underground Sensor Networks.
Sensors (Basel, Switzerland)
Jun 13, 2022
Wireless Underground Sensor Networks (WUSNs) have been showing prospective supervising application domains in the underground region of the earth through sensing, computation, and communication. This paper presents a novel Deep Learning (DL)-based Co...
Recent Advances in Bipedal Walking Robots: Review of Gait, Drive, Sensors and Control Systems.
Sensors (Basel, Switzerland)
Jun 12, 2022
Currently, there is an intensive development of bipedal walking robots. The most known solutions are based on the use of the principles of human gait created in nature during evolution. Modernbipedal robots are also based on the locomotion manners of...
A Primer into the Current State of Artificial Intelligence in Gastroenterology.
Journal of gastrointestinal and liver diseases : JGLD
Jun 12, 2022
Artificial intelligence (AI) is not a new idea or field of research. However, recent advancements in computing technology as well as increasing worldwide experience in applying AI to various fields have enabled us to hope that applying it to the medi...
Use of deep learning-based radiomics to differentiate Parkinson's disease patients from normal controls: a study based on [F]FDG PET imaging.
European radiology
Jun 8, 2022
OBJECTIVES: We proposed a novel deep learning-based radiomics (DLR) model to diagnose Parkinson's disease (PD) based on [F]fluorodeoxyglucose (FDG) PET images.
Conversion rates in robotic thyroid surgery: A systematic review and meta-analysis.
The international journal of medical robotics + computer assisted surgery : MRCAS
Jun 5, 2022
OBJECTIVE: To define the conversion risk to open procedure during robot-assisted thyroid surgery (RATS) identifying potential specific subclasses of procedures or accesses at higher conversion risk.
Liver Attenuation Assessment in Reduced Radiation Chest Computed Tomography.
Journal of computer assisted tomography
Jun 3, 2022
OBJECTIVE: This study aimed to evaluate the reliability of liver and spleen Hounsfield units (HU) measurements in reduced radiation computed tomography (RRCT) of the chest within the sub-millisievert range.
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