Deep into the Brain: Artificial Intelligence in Stroke Imaging
Eun-Jae Lee, Yong-Hwan Kim, Namkug Kim, Dong-Wha Kang
J Stroke. 2017;19(3):277-285.   Published online 2017 Sep 29     DOI: https://doi.org/10.5853/jos.2017.02054
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World Neurosurgery: X.2024; 22: 100303.     CrossRef
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David Dreizin, Kathryn Champ, Matthew Dattwyler, Uttam Bodanapally, Elana B. Smith, Guang Li, Rohan Singh, Ze Wang, Yuanyuan Liang
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PLOS ONE.2023; 18(1): e0279088.     CrossRef
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Radiología (English Edition).2023; 65: S3.     CrossRef
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American Journal of Roentgenology.2023; 221(6): 817.     CrossRef
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Journal of Medical Internet Research.2023; 25: e44895.     CrossRef
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La radiologia medica.2023; 129(1): 83.     CrossRef
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Nasrin Someeh, Mani Mirfeizi, Mohammad Asghari-Jafarabadi, Shayesteh Alinia, Farshid Farzipoor, Seyed Morteza Shamshirgaran
Scientific Reports.2023;[Epub]     CrossRef
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Scientific Reports.2023;[Epub]     CrossRef
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Journal of Medicine and Life Science.2023; 20(4): 141.     CrossRef
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Neural Computing and Applications.2022; 34(14): 11295.     CrossRef
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Materials Today: Proceedings.2022; 56: 2236.     CrossRef
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Brain Sciences.2022; 12(7): 821.     CrossRef
Application in medicine: Has artificial intelligence stood the test of time
Mir Ibrahim Sajid, Shaheer Ahmed, Usama Waqar, Javeria Tariq, Mohsin Chundrigarh, Samira Shabbir Balouch, Sajid Abaidullah
Chinese Medical Journal.2022;[Epub]     CrossRef
Artificial intelligence-based organizational human resource management and operation system
Yang Yang
Frontiers in Psychology.2022;[Epub]     CrossRef
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Artificial Intelligence in the Life Sciences.2022; : 100043.     CrossRef
Explainable AI and Interpretable Machine Learning: A Case Study in Perspective
Varad Vishwarupe, Prachi M. Joshi, Nicole Mathias, Shrey Maheshwari, Shweta Mhaisalkar, Vishal Pawar
Procedia Computer Science.2022; 204: 869.     CrossRef
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Application of Artificial Intelligence-Based Big Data AI Technology in Physical Education Reform
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Mobile Information Systems.2022; 2022: 1.     CrossRef
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Harshit Bokadia, Scott Cheng‐Hsin Yang, Zhaobin Li, Tomas Folke, Patrick Shafto
Applied AI Letters.2022;[Epub]     CrossRef
SARS-CoV-2: Has artificial intelligence stood the test of time
Mir Ibrahim Sajid, Shaheer Ahmed, Usama Waqar, Javeria Tariq, Mohsin Chundrigarh, Samira Shabbir Balouch, Sajid Abaidullah
Chinese Medical Journal.2022; 135(15): 1792.     CrossRef
Application of Machine Learning Techniques for Characterization of Ischemic Stroke with MRI Images: A Review
Asit Subudhi, Pratyusa Dash, Manoranjan Mohapatra, Ru-San Tan, U. Rajendra Acharya, Sukanta Sabut
Diagnostics.2022; 12(10): 2535.     CrossRef
Deep Learning in Ischemic Stroke Imaging Analysis: A Comprehensive Review
Liyuan Cui, Zhiyuan Fan, Yingjian Yang, Rui Liu, Dajiang Wang, Yingying Feng, Jiahui Lu, Yifeng Fan, Yu Chang Tyan
BioMed Research International.2022; 2022: 1.     CrossRef
Development and Validation of Machine Learning Models to Classify Artery Stenosis for Automated Generating Ultrasound Report
Chih-Yang Yeh, Hsun-Hua Lee, Md. Mohaimenul Islam, Chiu-Hui Chien, Suleman Atique, Lung Chan, Ming-Chin Lin
Diagnostics.2022; 12(12): 3047.     CrossRef
Bibliometric analysis on tendency and topics of artificial intelligence over last decade
Fang Gao, Xiaofeng Jia, Zhiyun Zhao, Chih-Cheng Chen, Feng Xu, Zhe Geng, Xiaotong Song
Microsystem Technologies.2021; 27(4): 1545.     CrossRef
Artificial intelligence neural network based on intelligent diagnosis
Xiren Li
Journal of Ambient Intelligence and Humanized Computing.2021; 12(1): 923.     CrossRef
Artificial intelligence in stroke imaging: Current and future perspectives
Vivek S. Yedavalli, Elizabeth Tong, Dann Martin, Kristen W. Yeom, Nils D. Forkert
Clinical Imaging.2021; 69: 246.     CrossRef
Artificial Intelligence and Acute Stroke Imaging
J.E. Soun, D.S. Chow, M. Nagamine, R.S. Takhtawala, C.G. Filippi, W. Yu, P.D. Chang
American Journal of Neuroradiology.2021; 42(1): 2.     CrossRef
Evaluation of Artificial Intelligence–Powered Identification of Large-Vessel Occlusions in a Comprehensive Stroke Center
A. Yahav-Dovrat, M. Saban, G. Merhav, I. Lankri, E. Abergel, A. Eran, D. Tanne, R.G. Nogueira, R. Sivan-Hoffmann
American Journal of Neuroradiology.2021; 42(2): 247.     CrossRef
MR Images, Brain Lesions, and Deep Learning
Darwin Castillo, Vasudevan Lakshminarayanan, María José Rodríguez-Álvarez
Applied Sciences.2021; 11(4): 1675.     CrossRef
L’intelligence artificielle au service des protocoles orthodontico-chirurgicaux
Masrour Makaremi, Pierre Bouletreau, L. Petitpas, O. Weissenbach
Revue d'Orthopédie Dento-Faciale.2021; 55(1): 89.     CrossRef
Machine Learning–Based Automatic Rating for Cardinal Symptoms of Parkinson Disease
Kye Won Park, Eun-Jae Lee, Jun Seong Lee, Jinhoon Jeong, Nari Choi, Sungyang Jo, Mina Jung, Ja Yeon Do, Dong-Wha Kang, June-Goo Lee, Sun Ju Chung
Neurology.2021;[Epub]     CrossRef
Can artificial intelligence overtake human intelligence on the bumpy road towards glioma therapy?
Precilla S Daisy, T. S. Anitha
Medical Oncology.2021;[Epub]     CrossRef
Enterprise imaging and big data: A review from a medical physics perspective
Nicholas McCarthy, Adil Dahlan, Tessa S. Cook, Neil O’ Hare, Marie-Louise Ryan, Brendan St John, Aonghus Lawlor, Kathleen M. Curran
Physica Medica.2021; 83: 206.     CrossRef
Deep symmetric three-dimensional convolutional neural networks for identifying acute ischemic stroke via diffusion-weighted images
Liyuan Cui, Shanhua Han, Shouliang Qi, Yang Duan, Yan Kang, Yu Luo
Journal of X-Ray Science and Technology.2021; 29(4): 551.     CrossRef
Predicting Infarct Core From Computed Tomography Perfusion in Acute Ischemia With Machine Learning: Lessons From the ISLES Challenge
Arsany Hakim, Søren Christensen, Stefan Winzeck, Maarten G. Lansberg, Mark W. Parsons, Christian Lucas, David Robben, Roland Wiest, Mauricio Reyes, Greg Zaharchuk
Stroke.2021; 52(7): 2328.     CrossRef
Predictive and diagnosis models of stroke from hemodynamic signal monitoring
Luis García-Terriza, José L. Risco-Martín, Gemma Reig Roselló, José L. Ayala
Medical & Biological Engineering & Computing.2021; 59(6): 1325.     CrossRef
Deep learning-based identification of acute ischemic core and deficit from non-contrast CT and CTA
Chengyan Wang, Zhang Shi, Ming Yang, Lixiang Huang, Wenxing Fang, Li Jiang, Jing Ding, He Wang
Journal of Cerebral Blood Flow & Metabolism.2021; 41(11): 3028.     CrossRef
Prediction of Progression to Severe Stroke in Initially Diagnosed Anterior Circulation Ischemic Cerebral Infarction
Lai Wei, Yidi Cao, Kangwei Zhang, Yun Xu, Xiang Zhou, Jinxi Meng, Aijun Shen, Jiong Ni, Jing Yao, Lei Shi, Qi Zhang, Peijun Wang
Frontiers in Neurology.2021;[Epub]     CrossRef
Diagnosis of Acute Central Dizziness With Simple Clinical Information Using Machine Learning
Bum Joon Kim, Su-Kyeong Jang, Yong-Hwan Kim, Eun-Jae Lee, Jun Young Chang, Sun U. Kwon, Jong S. Kim, Dong-Wha Kang
Frontiers in Neurology.2021;[Epub]     CrossRef
Impact of Upstream Medical Image Processing on Downstream Performance of a Head CT Triage Neural Network
Sarah M. Hooper, Jared A. Dunnmon, Matthew P. Lungren, Domenico Mastrodicasa, Daniel L. Rubin, Christopher Ré, Adam Wang, Bhavik N. Patel
Radiology: Artificial Intelligence.2021; 3(4): e200229.     CrossRef
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Matthias Klumpp, Marcus Hintze, Milla Immonen, Francisco Ródenas-Rigla, Francesco Pilati, Fernando Aparicio-Martínez, Dilay Çelebi, Thomas Liebig, Mats Jirstrand, Oliver Urbann, Marja Hedman, Jukka A. Lipponen, Silvio Bicciato, Anda-Petronela Radan, Berna
Healthcare.2021; 9(8): 961.     CrossRef
Efficiency of a deep learning-based artificial intelligence diagnostic system in spontaneous intracerebral hemorrhage volume measurement
Tao Wang, Na Song, Lingling Liu, Zichao Zhu, Bing Chen, Wenjun Yang, Zhiqiang Chen
BMC Medical Imaging.2021;[Epub]     CrossRef
Application of Traditional Cultural Symbols in Art Design under the Background of Artificial Intelligence
Cuifang Lin, Sang-Bing Tsai
Mathematical Problems in Engineering.2021; 2021: 1.     CrossRef
A Survey on Explainable Artificial Intelligence (XAI): Toward Medical XAI
Erico Tjoa, Cuntai Guan
IEEE Transactions on Neural Networks and Learning Systems.2021; 32(11): 4793.     CrossRef
Stroke Outcome Measurements From Electronic Medical Records: Cross-sectional Study on the Effectiveness of Neural and Nonneural Classifiers
Bruna Stella Zanotto, Ana Paula Beck da Silva Etges, Avner dal Bosco, Eduardo Gabriel Cortes, Renata Ruschel, Ana Claudia De Souza, Claudio M V Andrade, Felipe Viegas, Sergio Canuto, Washington Luiz, Sheila Ouriques Martins, Renata Vieira, Carisi Polanczy
JMIR Medical Informatics.2021; 9(11): e29120.     CrossRef
Effective End-to-End Deep Learning Process in Medical Imaging Using Independent Task Learning: Application for Diagnosis of Maxillary Sinusitis
Jang-Hoon Oh, Hyug-Gi Kim, Kyung Mi Lee, Chang-Woo Ryu, Soonchan Park, Ji Hye Jang, Hyun Seok Choi, Eui Jong Kim
Yonsei Medical Journal.2021; 62(12): 1125.     CrossRef
Machine Learning Approaches for Predicting Acute Respiratory Failure, Ventilator Dependence, and Mortality in Chronic Obstructive Pulmonary Disease
Kuang-Ming Liao, Chung-Feng Liu, Chia-Jung Chen, Yu-Ting Shen
Diagnostics.2021; 11(12): 2396.     CrossRef
Development of a deep learning model to identify hyperdense MCA sign in patients with acute ischemic stroke
Yuki Shinohara, Noriyuki Takahashi, Yongbum Lee, Tomomi Ohmura, Toshibumi Kinoshita
Japanese Journal of Radiology.2020; 38(2): 112.     CrossRef
Your evidence? Machine learning algorithms for medical diagnosis and prediction
Bert Heinrichs, Simon B. Eickhoff
Human Brain Mapping.2020; 41(6): 1435.     CrossRef
Effect of CAD on performance in ASPECTS reading
Marielle Ernst, Martina Bernhardt, Matthias Bechstein, Gerhard Schön, Jens Fiehler, Charles B.L.M. Majoie, Henk A. Marquering, Wim H. van Zwam, Diederik W.J. Dippel, Robert J. van Oostenbrugge, Einar Goebell
Informatics in Medicine Unlocked.2020; 18: 100295.     CrossRef
Machine Learning Approach to Identify Stroke Within 4.5 Hours
Hyunna Lee, Eun-Jae Lee, Sungwon Ham, Han-Bin Lee, Ji Sung Lee, Sun U. Kwon, Jong S. Kim, Namkug Kim, Dong-Wha Kang
Stroke.2020; 51(3): 860.     CrossRef
Artificial intelligence: The dawn of a new era for cutting-edge technology based diagnosis and treatment for stroke
Yang Ma, Ping Zhang, Yingxin Tang, Chao Pan, Gaigai Li, Na Liu, Yang Hu, Zhouping Tang
Brain Hemorrhages.2020; 1(1): 1.     CrossRef
Emerging Advanced Technologies Developed by IPR for Bio Medical Applications ‑.A Review
A Vaid, C Patil, A Sanghariyat, R Rane, A Visani, S Mukherjee, Alphonsa Joseph, M Ranjan, S Augustine, KP Sooraj, V Rathore, SK Nema, A Agraj, G Garg, A Sharma, M Sharma, K Pansare, CMurali Krishna, Jyotirmoy Banerjee, Sarat Chandra
Neurology India.2020; 68(1): 26.     CrossRef
Computational Image Analysis of Nonenhanced Computed Tomography for Acute Ischaemic Stroke: A Systematic Review
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Journal of Stroke and Cerebrovascular Diseases.2020; 29(5): 104715.     CrossRef
Deep Learning in Neuroradiology: A Systematic Review of Current Algorithms and Approaches for the New Wave of Imaging Technology
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Radiology: Artificial Intelligence.2020; 2(2): e190026.     CrossRef
CT-Based Quantitative Analysis for Pathological Features Associated With Postoperative Recurrence and Potential Application Upon Artificial Intelligence: A Narrative Review With a Focus on Chronic Subdural Hematomas
Woon-Man Kung, Muh-Shi Lin
Molecular Imaging.2020; 19: 153601212091477.     CrossRef
Topics and trends in artificial intelligence assisted human brain research
Xieling Chen, Juan Chen, Gary Cheng, Tao Gong, Zhaoqing Pan
PLOS ONE.2020; 15(4): e0231192.     CrossRef
Game theoretic interpretability for learning based preoperative gliomas grading
Laifa Ma, Zheng Xiao, Kenli Li, Shengli Li, Jianlin Li, Xiaoping Yi
Future Generation Computer Systems.2020; 112: 1.     CrossRef
Automated ASPECT scoring in acute ischemic stroke: comparison of three software tools
Philip Hoelter, Iris Muehlen, Philipp Goelitz, Vanessa Beuscher, Stefan Schwab, Arnd Doerfler
Neuroradiology.2020; 62(10): 1231.     CrossRef
Usefulness of deep learning-assisted identification of hyperdense MCA sign in acute ischemic stroke: comparison with readers’ performance
Yuki Shinohara, Noriyuki Takahashi, Yongbum Lee, Tomomi Ohmura, Atsushi Umetsu, Fumiko Kinoshita, Keita Kuya, Ayumi Kato, Toshibumi Kinoshita
Japanese Journal of Radiology.2020; 38(9): 870.     CrossRef
A systematic review of machine learning models for predicting outcomes of stroke with structured data
Wenjuan Wang, Martin Kiik, Niels Peek, Vasa Curcin, Iain J. Marshall, Anthony G. Rudd, Yanzhong Wang, Abdel Douiri, Charles D. Wolfe, Benjamin Bray, Omid Beiki
PLOS ONE.2020; 15(6): e0234722.     CrossRef
Evaluation of an artificial intelligent hydrocephalus diagnosis model based on transfer learning
Weike Duan, Jinsen Zhang, Liang Zhang, Zongsong Lin, Yuhang Chen, Xiaowei Hao, Yixin Wang, Hongri Zhang
Medicine.2020; 99(29): e21229.     CrossRef
Machine learning-based segmentation of ischemic penumbra by using diffusion tensor metrics in a rat model
Duen-Pang Kuo, Po-Chih Kuo, Yung-Chieh Chen, Yu-Chieh Jill Kao, Ching-Yen Lee, Hsiao-Wen Chung, Cheng-Yu Chen
Journal of Biomedical Science.2020;[Epub]     CrossRef
Using artificial intelligence for improving stroke diagnosis in emergency departments: a practical framework
Vida Abedi, Ayesha Khan, Durgesh Chaudhary, Debdipto Misra, Venkatesh Avula, Dhruv Mathrawala, Chadd Kraus, Kyle A. Marshall, Nayan Chaudhary, Xiao Li, Clemens M. Schirmer, Fabien Scalzo, Jiang Li, Ramin Zand
Therapeutic Advances in Neurological Disorders.2020; 13: 175628642093896.     CrossRef
Telemedicine in Neurosurgery
Tsuyoshi Ohta
Japanese Journal of Neurosurgery.2020; 29(9): 619.     CrossRef
Artificial intelligence for clinical decision support in neurology
Mangor Pedersen, Karin Verspoor, Mark Jenkinson, Meng Law, David F Abbott, Graeme D Jackson
Brain Communications.2020;[Epub]     CrossRef
Neurodegenerative Disorders of the Eye and of the Brain: A Perspective on Their Fluid-Dynamical Connections and the Potential of Mechanism-Driven Modeling
Giovanna Guidoboni, Riccardo Sacco, Marcela Szopos, Lorenzo Sala, Alice Chandra Verticchio Vercellin, Brent Siesky, Alon Harris
Frontiers in Neuroscience.2020;[Epub]     CrossRef
Preparing Radiologists to Lead in the Era of Artificial Intelligence: Designing and Implementing a Focused Data Science Pathway for Senior Radiology Residents
Walter F. Wiggins, M. Travis Caton, Kirti Magudia, Sha-har A. Glomski, Elizabeth George, Michael H. Rosenthal, Glenn C. Gaviola, Katherine P. Andriole
Radiology: Artificial Intelligence.2020; 2(6): e200057.     CrossRef
Image Patch-Based Net Water Uptake and Radiomics Models Predict Malignant Cerebral Edema After Ischemic Stroke
Bowen Fu, Shouliang Qi, Lin Tao, Haibin Xu, Yan Kang, Yudong Yao, Benqiang Yang, Yang Duan, Huisheng Chen
Frontiers in Neurology.2020;[Epub]     CrossRef
Deep Learning-Based Method to Differentiate Neuromyelitis Optica Spectrum Disorder From Multiple Sclerosis
Hyunjin Kim, Youngin Lee, Yong-Hwan Kim, Young-Min Lim, Ji Sung Lee, Jincheol Woo, Su-Kyeong Jang, Yeo Jin Oh, Hye Weon Kim, Eun-Jae Lee, Dong-Wha Kang, Kwang-Kuk Kim
Frontiers in Neurology.2020;[Epub]     CrossRef
Computer vs human: Deep learning versus perceptual training for the detection of neck of femur fractures
Matthew Adams, Weijia Chen, David Holcdorf, Mark W McCusker, Piers DL Howe, Frank Gaillard
Journal of Medical Imaging and Radiation Oncology.2019; 63(1): 27.     CrossRef
Artificial intelligence in drug development: present status and future prospects
Kit-Kay Mak, Mallikarjuna Rao Pichika
Drug Discovery Today.2019; 24(3): 773.     CrossRef
Machine learning studies on major brain diseases: 5-year trends of 2014–2018
Koji Sakai, Kei Yamada
Japanese Journal of Radiology.2019; 37(1): 34.     CrossRef
An overview of deep learning in medical imaging focusing on MRI
Alexander Selvikvåg Lundervold, Arvid Lundervold
Zeitschrift für Medizinische Physik.2019; 29(2): 102.     CrossRef
Artificial Intelligence Transforms the Future of Health Care
Nariman Noorbakhsh-Sabet, Ramin Zand, Yanfei Zhang, Vida Abedi
The American Journal of Medicine.2019; 132(7): 795.     CrossRef
Imaging of Patients with Suspected Large-Vessel Occlusion at Primary Stroke Centers: Available Modalities and a Suggested Approach
M.A. Almekhlafi, W.G. Kunz, B.K. Menon, R.A. McTaggart, M.V. Jayaraman, B.W. Baxter, D. Heck, D. Frei, C.P. Derdeyn, T. Takagi, A.H. Aamodt, I.M.R. Fragata, M.D. Hill, A.M. Demchuk, M. Goyal
American Journal of Neuroradiology.2019;[Epub]     CrossRef
Combination of hand-crafted and unsupervised learned features for ischemic stroke lesion detection from Magnetic Resonance Images
Praveen Gurunath Bharathi, Anita Agrawal, Ponraj Sundaram, Sanjay Sardesai
Biocybernetics and Biomedical Engineering.2019; 39(2): 410.     CrossRef
3D convolutional neural networks applied to CT angiography in the detection of acute ischemic stroke
Olli Öman, Teemu Mäkelä, Eero Salli, Sauli Savolainen, Marko Kangasniemi
European Radiology Experimental.2019;[Epub]     CrossRef
Characterization of clot composition in acute cerebral infarct using machine learning techniques
Jong‐Won Chung, Yoon‐Chul Kim, Jihoon Cha, Eun‐Hyeok Choi, Byung Moon Kim, Woo‐Keun Seo, Gyeong‐Moon Kim, Oh Young Bang
Annals of Clinical and Translational Neurology.2019; 6(4): 739.     CrossRef
Blood pressure and stroke: From incidence to outcome
Simona Lattanzi, Francesco Brigo, Mauro Silvestrini
The Journal of Clinical Hypertension.2019; 21(5): 605.     CrossRef
Computer aided diagnosis for ASPECT rating: initial experiences with the Frontier ASPECT Score software
Juliane Goebel, Elena Stenzel, Stefan Zuelow, Christoph Kleinschnitz, Michael Forsting, Christoph Moenninghoff, Alexander Radbruch
Acta Radiologica.2019; 60(12): 1673.     CrossRef
Machine learning improves prediction of delayed cerebral ischemia in patients with subarachnoid hemorrhage
Lucas Alexandre Ramos, Wessel E van der Steen, Renan Sales Barros, Charles B L M Majoie, Rene van den Berg, Dagmar Verbaan, W Peter Vandertop, I Jsbrand Andreas Jan Zijlstra, A H Zwinderman, Gustav J Strijkers, Silvia Delgado Olabarriaga, Henk A Marquerin
Journal of NeuroInterventional Surgery.2019; 11(5): 497.     CrossRef
Applications of diffusion-weighted imaging in diagnosis, evaluation, and treatment of acute ischemic stroke
Oh Young Bang, Wenyu Li
Precision and Future Medicine.2019; 3(2): 69.     CrossRef
Artificial Intelligence: Applications in orthognathic surgery
P. Bouletreau, M. Makaremi, B. Ibrahim, A. Louvrier, N. Sigaux
Journal of Stomatology, Oral and Maxillofacial Surgery.2019; 120(4): 347.     CrossRef
Artificial Intelligence in the Management of Glioma: Era of Personalized Medicine
Houman Sotoudeh, Omid Shafaat, Joshua D. Bernstock, Michael David Brooks, Galal A. Elsayed, Jason A. Chen, Paul Szerip, Gustavo Chagoya, Florian Gessler, Ehsan Sotoudeh, Amir Shafaat, Gregory K. Friedman
Frontiers in Oncology.2019;[Epub]     CrossRef
L’intelligence artificielle au service de l’imagerie et de la santé des femmes
Christine Fernandez-Maloigne, Rémy Guillevin
Imagerie de la Femme.2019; 29(4): 179.     CrossRef
Current status and applications of Artificial Intelligence (AI) in medical field: An overview
Abid Haleem, Mohd Javaid, Ibrahim Haleem Khan
Current Medicine Research and Practice.2019;[Epub]     CrossRef
Desiderata for delivering NLP to accelerate healthcare AI advancement and a Mayo Clinic NLP-as-a-service implementation
Andrew Wen, Sunyang Fu, Sungrim Moon, Mohamed El Wazir, Andrew Rosenbaum, Vinod C. Kaggal, Sijia Liu, Sunghwan Sohn, Hongfang Liu, Jungwei Fan
npj Digital Medicine.2019;[Epub]     CrossRef
Deep Learning in Cardiology
Paschalis Bizopoulos, Dimitrios Koutsouris
IEEE Reviews in Biomedical Engineering.2019; 12: 168.     CrossRef
What are the images used to diagnose and assess suspected strokes?: A systematic literature review of care in four European countries
Anne-Claire Peultier, Ken Redekop, Emmanuel Coche, Johan L Severens
Expert Review of Pharmacoeconomics & Outcomes Research.2018; 18(2): 177.     CrossRef
Emerging Trends in Emergent Stroke Neuroimaging
Gerald T. Drocton, Michael D. Luttrull, Amna A. Ajam, Xuan V. Nguyen
Current Radiology Reports.2018;[Epub]     CrossRef
The Application of Medical Artificial Intelligence Technology in Rural Areas of Developing Countries
Jonathan Guo, Bin Li
Health Equity.2018; 2(1): 174.     CrossRef
Stroke outcome prediction: what do we know and where are we going?
S. Lattanzi, M. Silvestrini
European Journal of Neurology.2018; 25(12): 1398.     CrossRef
Artificial intelligence in stroke care: Deep learning or superficial insight?
David S. Liebeskind
EBioMedicine.2018; 35: 14.     CrossRef
Classification of Posterior Fossa CT Brain Slices using Artificial Neural Network
Anis Azwani Muhd Suberi, Wan Nurshazwani Wan Zakaria, Razali Tomari, Nik Farhan Nik Fuad
Procedia Computer Science.2018; 135: 170.     CrossRef
Automated ASPECT rating: comparison between the Frontier ASPECT Score software and the Brainomix software
Juliane Goebel, Elena Stenzel, Nika Guberina, Isabel Wanke, Martin Koehrmann, Christoph Kleinschnitz, Lale Umutlu, Michael Forsting, Christoph Moenninghoff, Alexander Radbruch
Neuroradiology.2018; 60(12): 1267.     CrossRef
In the Era of Thrombectomy, Let Us Also Protect the Majority of Patients With Stroke Who Only Require Medical Treatment!
Enrique C. Leira, Sean I. Savitz
Stroke.2018; 49(6): 1538.     CrossRef
Learning to Predict Ischemic Stroke Growth on Acute CT Perfusion Data by Interpolating Low-Dimensional Shape Representations
Christian Lucas, André Kemmling, Nassim Bouteldja, Linda F. Aulmann, Amir Madany Mamlouk, Mattias P. Heinrich
Frontiers in Neurology.2018;[Epub]     CrossRef
Towards Clinical Diagnosis: Automated Stroke Lesion Segmentation on Multi-Spectral MR Image Using Convolutional Neural Network
Zhiyang Liu, Chen Cao, Shuxue Ding, Zhiang Liu, Tong Han, Sheng Liu
IEEE Access.2018; 6: 57006.     CrossRef