Vyzkoušejte nový nástroj s podporou AI
Summon Research Assistant
BETA
Validation of Vetscan Imagyst®, a diagnostic test utilizing an artificial intelligence deep learning algorithm, for detecting strongyles and Parascaris spp. in equine fecal samples
Steuer, Ashley, Fritzler, Jason, Boggan, SaraBeth, Daniel, Ian, Cowles, Bobby, Penn, Cory, Goldstein, Richard, Lin, Dan
Published in Parasites & vectors (12.11.2024)
Published in Parasites & vectors (12.11.2024)
Get full text
Journal Article
Deep Learning–based Automatic Detection Algorithm for Reducing Overlooked Lung Cancers on Chest Radiographs
Jang, Sowon, Song, Hwayoung, Shin, Yoon Joo, Kim, Junghoon, Kim, Jihang, Lee, Kyung Won, Lee, Sung Soo, Lee, Woojoo, Lee, Seungjae, Lee, Kyung Hee
Published in Radiology (01.09.2020)
Published in Radiology (01.09.2020)
Get full text
Journal Article
Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs
Gulshan, Varun, Peng, Lily, Coram, Marc, Stumpe, Martin C, Wu, Derek, Narayanaswamy, Arunachalam, Venugopalan, Subhashini, Widner, Kasumi, Madams, Tom, Cuadros, Jorge, Kim, Ramasamy, Raman, Rajiv, Nelson, Philip C, Mega, Jessica L, Webster, Dale R
Published in JAMA : the journal of the American Medical Association (13.12.2016)
Published in JAMA : the journal of the American Medical Association (13.12.2016)
Get full text
Journal Article
A deep learning algorithm may automate intracranial aneurysm detection on MR angiography with high diagnostic performance
Joo, Bio, Ahn, Sung Soo, Yoon, Pyeong Ho, Bae, Sohi, Sohn, Beomseok, Lee, Yong Eun, Bae, Jun Ho, Park, Moo Sung, Choi, Hyun Seok, Lee, Seung-Koo
Published in European radiology (01.11.2020)
Published in European radiology (01.11.2020)
Get full text
Journal Article
Complete Blood Count and Monocyte Distribution Width–Based Machine Learning Algorithms for Sepsis Detection: Multicentric Development and External Validation Study
Campagner, Andrea, Agnello, Luisa, Carobene, Anna, Padoan, Andrea, Del Ben, Fabio, Locatelli, Massimo, Plebani, Mario, Ognibene, Agostino, Lorubbio, Maria, De Vecchi, Elena, Cortegiani, Andrea, Piva, Elisa, Poz, Donatella, Curcio, Francesco, Cabitza, Federico, Ciaccio, Marcello
Published in Journal of medical Internet research (26.02.2025)
Published in Journal of medical Internet research (26.02.2025)
Get full text
Journal Article
External Validation of a Previously Developed Deep Learning–based Prostate Lesion Detection Algorithm on Paired External and In-House Biparametric MRI Scans
Yilmaz, Enis C., Harmon, Stephanie A., Law, Yan Mee, Huang, Erich P., Belue, Mason J., Lin, Yue, Gelikman, David G., Ozyoruk, Kutsev B., Yang, Dong, Xu, Ziyue, Tetreault, Jesse, Xu, Daguang, Hazen, Lindsey A., Garcia, Charisse, Lay, Nathan S., Eclarinal, Philip, Toubaji, Antoun, Merino, Maria J., Wood, Bradford J., Gurram, Sandeep, Choyke, Peter L., Pinto, Peter A., Turkbey, Baris
Published in Radiology. Imaging cancer (01.11.2024)
Published in Radiology. Imaging cancer (01.11.2024)
Get full text
Journal Article
Assessment of a Deep Learning Algorithm for the Detection of Rib Fractures on Whole-Body Trauma Computed Tomography
Weikert, Thomas, Noordtzij, Luca Andre, Bremerich, Jens, Stieltjes, Bram, Parmar, Victor, Cyriac, Joshy, Sommer, Gregor, Sauter, Alexander Walter
Published in Korean journal of radiology (01.07.2020)
Published in Korean journal of radiology (01.07.2020)
Get full text
Journal Article
Deep Learning Assisted Efficient AdaBoost Algorithm for Breast Cancer Detection and Early Diagnosis
Zheng, Jing, Lin, Denan, Gao, Zhongjun, Wang, Shuang, He, Mingjie, Fan, Jipeng
Published in IEEE access (2020)
Published in IEEE access (2020)
Get full text
Journal Article
Deep Learning Algorithms for Breast Cancer Detection in a UK Screening Cohort: As Stand-alone Readers and Combined with Human Readers
Hickman, Sarah E., Payne, Nicholas R., Black, Richard T., Huang, Yuan, Priest, Andrew N., Hudson, Sue, Kasmai, Bahman, Juette, Arne, Nanaa, Muzna, Gilbert, Fiona J.
Published in Radiology (01.11.2024)
Published in Radiology (01.11.2024)
Get full text
Journal Article
Artificial intelligence for detecting small FDG-positive lung nodules in digital PET/CT: impact of image reconstructions on diagnostic performance
Schwyzer, Moritz, Martini, Katharina, Benz, Dominik C., Burger, Irene A., Ferraro, Daniela A., Kudura, Ken, Treyer, Valerie, von Schulthess, Gustav K., Kaufmann, Philipp A., Huellner, Martin W., Messerli, Michael
Published in European radiology (01.04.2020)
Published in European radiology (01.04.2020)
Get full text
Journal Article
The use of artificial intelligence tools in cancer detection compared to the traditional diagnostic imaging methods: An overview of the systematic reviews
Silva, Helbert Eustáquio Cardoso da, Santos, Glaucia Nize Martins, Leite, André Ferreira, Mesquita, Carla Ruffeil Moreira, Figueiredo, Paulo Tadeu de Souza, Stefani, Cristine Miron, de Melo, Nilce Santos
Published in PloS one (05.10.2023)
Published in PloS one (05.10.2023)
Get full text
Journal Article
Evaluation of the VETSCAN IMAGYST: an in-clinic canine and feline fecal parasite detection system integrated with a deep learning algorithm
Nagamori, Yoko, Hall Sedlak, Ruth, DeRosa, Andrew, Pullins, Aleah, Cree, Travis, Loenser, Michael, Larson, Benjamin S., Smith, Richard Boyd, Goldstein, Richard
Published in Parasites & vectors (11.07.2020)
Published in Parasites & vectors (11.07.2020)
Get full text
Journal Article
Machine learning algorithms enhance the specificity of cancer biomarker detection using SERS-based immunoassays in microfluidic chips
Banaei, Nariman, Moshfegh, Javad, Mohseni-Kabir, Arman, Houghton, Jean Marie, Sun, Yubing, Kim, Byung
Published in RSC advances (15.01.2019)
Published in RSC advances (15.01.2019)
Get full text
Journal Article