Marie-Anne S Rosemberg, Aurora B Le, My Luu, Tuan Nguyen
An Online Training Module to Increase Knowledge and Awareness of Chemical Exposures and Safety Measures Among Nail Salon Workers
Journal of occupational and environmental medicine
field medical imaging rapid rise convolutional neural networks cnns presented significant opportunities conserving healthcare resources however wide spread application cnns several challenges emerged enormous data annotation costs difficulties ensuring user privacy security weak model interpretability consumption substantial computational resources fundamental challenge lies optimizing seamlessly integrating cnn technology enhance precision efficiency medical diagnosis study sought provide comprehensive bibliometric overview current research application cnns medical imaging initially bibliometric methods used calculate frequency statistics perform cluster analysis cocitation analysis countries institutions authors keywords references subsequently latent dirichlet allocation lda method employed topic modeling literature next indepth analysis topics conducted topics medical field technical aspects trends topic evolution summarized finally integrating bibliometrics lda results developmental trajectory milestones future directions field outlined data set containing 6310 articles field published january 2013 december 2023 complied total 55538 articles united states led terms citation count terms publication volume china led 2385 articles harvard university emerged influential institution boasting average 6992 citations per article within realm cnns residual neural network resnet unet stood receiving 1602 1419 citations respectively highlights significant attention models received impact coronavirus disease 2019 covid19 unmistakable reflected publication 597 articles making focal point research additionally among various disease topics 290 articles brainrelated research prevalent computed tomography ct imaging dominated research landscape representing 73 30 different topics past 11 years cnnrelated research medical imaging grown exponentially findings present study provide insights fields status research hotspots addition article meticulously chronicled development cnns highlighted key milestones starting lenet 1989 followed challenging 20year exploration period culminating breakthrough moment alexnet 2012 finally article explored recent advancements cnn technology including semisupervised learning efficient learning trustworthy artificial intelligence ai federated learning methods also addressed challenges related data annotation costs diagnostic efficiency model performance data privacy