AIMC Topic: Prospective Studies
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Pragmatic screening for heart failure in the general population using an electrocardiogram-based neural network.
ESC heart failure
Dec 8, 2022
AIMS: We aim to develop a pragmatic screening tool for heart failure at the general population level.
Caries detection with tooth surface segmentation on intraoral photographic images using deep learning.
BMC oral health
Dec 7, 2022
BACKGROUND: Intraoral photographic images are helpful in the clinical diagnosis of caries. Moreover, the application of artificial intelligence to these images has been attempted consistently. This study aimed to evaluate a deep learning algorithm fo...
Robotic versus open pancreaticoduodenectomy in elderly patients: a propensity score-matched analysis.
HPB : the official journal of the International Hepato Pancreato Biliary Association
Dec 5, 2022
BACKGROUND: Pancreaticoduodenectomy (PD) is complex procedure with high morbidity in the elderly. This retrospective study aimed to compare post-operative outcomes in patients ≥75 years of age who underwent robot-assisted (RA)PD and open PD.
Machine learning and circular bioeconomy: Building new resource efficiency from diverse waste streams.
Bioresource technology
Dec 5, 2022
Biorefinery systems are playing pivotal roles in the technological support of resource efficiency for circular bioeconomy. Meanwhile, artificial intelligence presents great potential in handling scientific tasks of high-dimensional complexity. This r...
Case Study: Improving the Quality of Dairy Cow Reconstruction with a Deep Learning-Based Framework.
Sensors (Basel, Switzerland)
Nov 30, 2022
Three-dimensional point cloud generation systems from scanning data of a moving camera provide extra information about an object in addition to color. They give access to various prospective study fields for researchers. With applications in animal h...
Robot-assisted Partial Nephrectomy with the Newly Developed KangDuo Surgical Robot Versus the da Vinci Si Surgical System: A Double-center Prospective Randomized Controlled Noninferiority Trial.
European urology focus
Nov 26, 2022
BACKGROUND: The KangDuo surgical robot (KD-SR) was recently developed in China.
Practice-Based Learning and Improvement: Improving Morbidity and Mortality Review Using Natural Language Processing.
The Journal of surgical research
Nov 22, 2022
INTRODUCTION: Practice-Based Learning and Improvement, a core competency identified by the Accreditation Council for Graduate Medical Education, carries importance throughout a physician's career. Practice-Based Learning and Improvement is cultivated...
Sarcopenia identified by computed tomography imaging using a deep learning-based segmentation approach impacts survival in patients with newly diagnosed multiple myeloma.
Cancer
Nov 22, 2022
BACKGROUND: Sarcopenia increases with age and is associated with poor survival outcomes in patients with cancer. By using a deep learning-based segmentation approach, clinical computed tomography (CT) images of the abdomen of patients with newly diag...
The learning curve of imageless robot-assisted total knee arthroplasty with standardised laxity testing requires the completion of nine cases, but does not reach time neutrality compared to conventional surgery.
International orthopaedics
Nov 17, 2022
PURPOSE: The assistance of robot technology is introduced into the operating theatre to improve the precision of a total knee arthroplasty. However, as with all new technology, new technology requires a learning curve to reach adequate proficiency. T...
Radiographic findings involved in knee osteoarthritis progression are associated with pain symptom frequency and baseline disease severity: a population-level analysis using deep learning.
Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA
Nov 11, 2022
PURPOSE: To (1) develop a deep-learning (DL) algorithm capable of producing limb-length and knee-alignment measurements, and (2) determine the association between limb-length discrepancy (LLD), coronal-plane alignment, osteoarthritis (OA) severity, a...
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