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Correction: Corrigendum: Dermatologist-level classification of skin cancer with deep neural networks

Citations

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Cited by:

  1. Majd Oteibi & Adam Tamimi & Kaneez Abbas & Gabriel Tamimi & Danesh Khazaei & Hadi Khazaei, 2024. "Advancing Digital Health using AI and Machine Learning Solutions for Early Ultrasonic Detection of Breast Disorders in Women," International Journal of Research and Scientific Innovation, International Journal of Research and Scientific Innovation (IJRSI), vol. 11(11), pages 518-527, November.
  2. von Walter, Benjamin & Wentzel, Daniel & Raff, Stefan, 2023. "Should service firms introduce algorithmic advice to their existing customers? The moderating effect of service relationships," Journal of Retailing, Elsevier, vol. 99(2), pages 280-296.
  3. Mendes, Carlos Frederico S. da F. & Krohling, Renato A., 2022. "Deep and handcrafted features from clinical images combined with patient information for skin cancer diagnosis," Chaos, Solitons & Fractals, Elsevier, vol. 162(C).
  4. Romain Cadario & Chiara Longoni & Carey K. Morewedge, 2021. "Understanding, explaining, and utilizing medical artificial intelligence," Nature Human Behaviour, Nature, vol. 5(12), pages 1636-1642, December.
  5. Olga Vl. Bitkina & Jaehyun Park & Jungyoon Kim, 2022. "Modeling Sleep Quality Depending on Objective Actigraphic Indicators Based on Machine Learning Methods," IJERPH, MDPI, vol. 19(16), pages 1-14, August.
  6. Samantha Ouellette & Babar K. Rao, 2022. "Usefulness of Smartphones in Dermatology: A US-Based Review," IJERPH, MDPI, vol. 19(6), pages 1-14, March.
  7. Yun-Tsan Chang & Pacôme Prompsy & Susanne Kimeswenger & Yi-Chien Tsai & Desislava Ignatova & Olesya Pavlova & Christoph Iselin & Lars E. French & Mitchell P. Levesque & François Kuonen & Malgorzata Bo, 2024. "MHC-I upregulation safeguards neoplastic T cells in the skin against NK cell-mediated eradication in mycosis fungoides," Nature Communications, Nature, vol. 15(1), pages 1-18, December.
  8. Yasir Adil Mukhlif & Nehad T. A. Ramaha & Alaa Ali Hameed & Mohammad Salman & Dong Keon Yon & Norma Latif Fitriyani & Muhammad Syafrudin & Seung Won Lee, 2024. "Ant Colony and Whale Optimization Algorithms Aided by Neural Networks for Optimum Skin Lesion Diagnosis: A Thorough Review," Mathematics, MDPI, vol. 12(7), pages 1-29, March.
  9. Ren, Hu-Hu & Fan, Man-Hong & Bai, Yu-Long & Ma, Xiao-Ying & Zhao, Jun-Hao, 2024. "Prediction of spatiotemporal dynamic systems by data-driven reconstruction," Chaos, Solitons & Fractals, Elsevier, vol. 185(C).
  10. Hanning Ying & Xiaoqing Liu & Min Zhang & Yiyue Ren & Shihui Zhen & Xiaojie Wang & Bo Liu & Peng Hu & Lian Duan & Mingzhi Cai & Ming Jiang & Xiangdong Cheng & Xiangyang Gong & Haitao Jiang & Jianshuai, 2024. "A multicenter clinical AI system study for detection and diagnosis of focal liver lesions," Nature Communications, Nature, vol. 15(1), pages 1-16, December.
  11. Anran Wang & Xiaolei Xiu & Shengyu Liu & Qing Qian & Sizhu Wu, 2022. "Characteristics of Artificial Intelligence Clinical Trials in the Field of Healthcare: A Cross-Sectional Study on ClinicalTrials.gov," IJERPH, MDPI, vol. 19(20), pages 1-20, October.
  12. Wentong Zhou & Ziheng Deng & Yong Liu & Hui Shen & Hongwen Deng & Hongmei Xiao, 2022. "Global Research Trends of Artificial Intelligence on Histopathological Images: A 20-Year Bibliometric Analysis," IJERPH, MDPI, vol. 19(18), pages 1-15, September.
  13. Juexiao Zhou & Xiaonan He & Liyuan Sun & Jiannan Xu & Xiuying Chen & Yuetan Chu & Longxi Zhou & Xingyu Liao & Bin Zhang & Shawn Afvari & Xin Gao, 2024. "Pre-trained multimodal large language model enhances dermatological diagnosis using SkinGPT-4," Nature Communications, Nature, vol. 15(1), pages 1-12, December.
  14. Lin Lu & Laurent Dercle & Binsheng Zhao & Lawrence H. Schwartz, 2021. "Deep learning for the prediction of early on-treatment response in metastatic colorectal cancer from serial medical imaging," Nature Communications, Nature, vol. 12(1), pages 1-11, December.
  15. Jamil Ahmad & Abdul Khader Jilani Saudagar & Khalid Mahmood Malik & Waseem Ahmad & Muhammad Badruddin Khan & Mozaherul Hoque Abul Hasanat & Abdullah AlTameem & Mohammed AlKhathami & Muhammad Sajjad, 2022. "Disease Progression Detection via Deep Sequence Learning of Successive Radiographic Scans," IJERPH, MDPI, vol. 19(1), pages 1-16, January.
  16. He, Wenbin & Liu, Ting & Ming, Wuyi & Li, Zongze & Du, Jinguang & Li, Xiaoke & Guo, Xudong & Sun, Peiyan, 2024. "Progress in prediction of remaining useful life of hydrogen fuel cells based on deep learning," Renewable and Sustainable Energy Reviews, Elsevier, vol. 192(C).
  17. Sangwon Chae & Sungjun Kwon & Donghyun Lee, 2018. "Predicting Infectious Disease Using Deep Learning and Big Data," IJERPH, MDPI, vol. 15(8), pages 1-20, July.
  18. Cristian Simionescu & Adrian Iftene, 2022. "Deep Learning Research Directions in Medical Imaging," Mathematics, MDPI, vol. 10(23), pages 1-25, November.
  19. Aglika Kaneva, 2024. "Digitalisation in the Financial Sector," Innovative Information Technologies for Economy Digitalization (IITED), University of National and World Economy, Sofia, Bulgaria, issue 1, pages 264-274, October.
  20. Zheng Yan & Wenqian Robertson & Yaosheng Lou & Tom W. Robertson & Sung Yong Park, 2021. "Finding leading scholars in mobile phone behavior: a mixed-method analysis of an emerging interdisciplinary field," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(12), pages 9499-9517, December.
  21. Songhee Cheon & Jungyoon Kim & Jihye Lim, 2019. "The Use of Deep Learning to Predict Stroke Patient Mortality," IJERPH, MDPI, vol. 16(11), pages 1-12, May.
  22. Oded Rotem & Tamar Schwartz & Ron Maor & Yishay Tauber & Maya Tsarfati Shapiro & Marcos Meseguer & Daniella Gilboa & Daniel S. Seidman & Assaf Zaritsky, 2024. "Visual interpretability of image-based classification models by generative latent space disentanglement applied to in vitro fertilization," Nature Communications, Nature, vol. 15(1), pages 1-19, December.
  23. Freddy Gabbay & Rotem Lev Aharoni & Ori Schweitzer, 2022. "Deep Neural Network Memory Performance and Throughput Modeling and Simulation Framework," Mathematics, MDPI, vol. 10(21), pages 1-20, November.
  24. Jingui Zhang & Chuangji Meng & Cunlu Xu & Jingyong Ma & Wei Su, 2022. "Deep Transfer Learning Method Based on Automatic Domain Alignment and Moment Matching," Mathematics, MDPI, vol. 10(14), pages 1-14, July.
  25. Rasheed Omobolaji Alabi & Alhadi Almangush & Mohammed Elmusrati & Ilmo Leivo & Antti Mäkitie, 2022. "Measuring the Usability and Quality of Explanations of a Machine Learning Web-Based Tool for Oral Tongue Cancer Prognostication," IJERPH, MDPI, vol. 19(14), pages 1-13, July.
  26. Yuming Jiang & Zhicheng Zhang & Wei Wang & Weicai Huang & Chuanli Chen & Sujuan Xi & M. Usman Ahmad & Yulan Ren & Shengtian Sang & Jingjing Xie & Jen-Yeu Wang & Wenjun Xiong & Tuanjie Li & Zhen Han & , 2023. "Biology-guided deep learning predicts prognosis and cancer immunotherapy response," Nature Communications, Nature, vol. 14(1), pages 1-16, December.
  27. Md Tauhidul Islam & Zixia Zhou & Hongyi Ren & Masoud Badiei Khuzani & Daniel Kapp & James Zou & Lu Tian & Joseph C. Liao & Lei Xing, 2023. "Revealing hidden patterns in deep neural network feature space continuum via manifold learning," Nature Communications, Nature, vol. 14(1), pages 1-20, December.
  28. Dyke Ferber & Georg Wölflein & Isabella C. Wiest & Marta Ligero & Srividhya Sainath & Narmin Ghaffari Laleh & Omar S. M. El Nahhas & Gustav Müller-Franzes & Dirk Jäger & Daniel Truhn & Jakob Nikolas K, 2024. "In-context learning enables multimodal large language models to classify cancer pathology images," Nature Communications, Nature, vol. 15(1), pages 1-12, December.
  29. Marta Mazur & Artnora Ndokaj & Divyambika Catakapatri Venugopal & Michela Roberto & Cristina Albu & Maciej Jedliński & Silverio Tomao & Iole Vozza & Grzegorz Trybek & Livia Ottolenghi & Fabrizio Guerr, 2021. "In Vivo Imaging-Based Techniques for Early Diagnosis of Oral Potentially Malignant Disorders—Systematic Review and Meta-Analysis," IJERPH, MDPI, vol. 18(22), pages 1-22, November.
  30. Chinmay Belthangady & Stefanos Giampanis & Ivana Jankovic & Will Stedden & Paula Alves & Stephanie Chong & Charlotte Knott & Beau Norgeot, 2022. "Causal deep learning reveals the comparative effectiveness of antihyperglycemic treatments in poorly controlled diabetes," Nature Communications, Nature, vol. 13(1), pages 1-10, December.
  31. Podobnik, Boris & Dabić, Marina & Wild, Dorian & Di Matteo, Tiziana, 2023. "The impact of STEM on the growth of wealth at varying scales, ranging from individuals to firms and countries: The performance of STEM firms during the pandemic across different markets," Technology in Society, Elsevier, vol. 72(C).
  32. Zhiming Cui & Yu Fang & Lanzhuju Mei & Bojun Zhang & Bo Yu & Jiameng Liu & Caiwen Jiang & Yuhang Sun & Lei Ma & Jiawei Huang & Yang Liu & Yue Zhao & Chunfeng Lian & Zhongxiang Ding & Min Zhu & Dinggan, 2022. "A fully automatic AI system for tooth and alveolar bone segmentation from cone-beam CT images," Nature Communications, Nature, vol. 13(1), pages 1-11, December.
  33. Chowdhury, Emon Kalyan, 2019. "Use of Artificial Intelligence in Stock Trading," MPRA Paper 118175, University Library of Munich, Germany, revised 18 Apr 2019.
  34. Andreas Fügener & Jörn Grahl & Alok Gupta & Wolfgang Ketter, 2022. "Cognitive Challenges in Human–Artificial Intelligence Collaboration: Investigating the Path Toward Productive Delegation," Information Systems Research, INFORMS, vol. 33(2), pages 678-696, June.
  35. Adityanarayanan Radhakrishnan & Max Ruiz Luyten & Neha Prasad & Caroline Uhler, 2023. "Transfer Learning with Kernel Methods," Nature Communications, Nature, vol. 14(1), pages 1-12, December.
  36. Victor Olsavszky & Mihnea Dosius & Cristian Vladescu & Johannes Benecke, 2020. "Time Series Analysis and Forecasting with Automated Machine Learning on a National ICD-10 Database," IJERPH, MDPI, vol. 17(14), pages 1-17, July.
  37. Hsiang-Chun Dong & Hsiang-Kai Dong & Mu-Hsien Yu & Yi-Hsin Lin & Cheng-Chang Chang, 2020. "Using Deep Learning with Convolutional Neural Network Approach to Identify the Invasion Depth of Endometrial Cancer in Myometrium Using MR Images: A Pilot Study," IJERPH, MDPI, vol. 17(16), pages 1-18, August.
  38. Broekhuizen, Thijs & Dekker, Henri & de Faria, Pedro & Firk, Sebastian & Nguyen, Dinh Khoi & Sofka, Wolfgang, 2023. "AI for managing open innovation: Opportunities, challenges, and a research agenda," Journal of Business Research, Elsevier, vol. 167(C).
  39. Khalid A. Ibrahim & Kristin S. Grußmayer & Nathan Riguet & Lely Feletti & Hilal A. Lashuel & Aleksandra Radenovic, 2023. "Label-free identification of protein aggregates using deep learning," Nature Communications, Nature, vol. 14(1), pages 1-11, December.
  40. Jungyoon Kim & Jihye Lim, 2021. "A Deep Neural Network-Based Method for Prediction of Dementia Using Big Data," IJERPH, MDPI, vol. 18(10), pages 1-13, May.
  41. Vidhya V. & Anjan Gudigar & U. Raghavendra & Ajay Hegde & Girish R. Menon & Filippo Molinari & Edward J. Ciaccio & U. Rajendra Acharya, 2021. "Automated Detection and Screening of Traumatic Brain Injury (TBI) Using Computed Tomography Images: A Comprehensive Review and Future Perspectives," IJERPH, MDPI, vol. 18(12), pages 1-29, June.
  42. Chee Keong Wee & Xujuan Zhou & Ruiliang Sun & Raj Gururajan & Xiaohui Tao & Yuefeng Li & Nathan Wee, 2022. "Triaging Medical Referrals Based on Clinical Prioritisation Criteria Using Machine Learning Techniques," IJERPH, MDPI, vol. 19(12), pages 1-13, June.
  43. Zahlan, Ahmed & Ranjan, Ravi Prakash & Hayes, David, 2023. "Artificial intelligence innovation in healthcare: Literature review, exploratory analysis, and future research," Technology in Society, Elsevier, vol. 74(C).
  44. Gang Yu & Kai Sun & Chao Xu & Xing-Hua Shi & Chong Wu & Ting Xie & Run-Qi Meng & Xiang-He Meng & Kuan-Song Wang & Hong-Mei Xiao & Hong-Wen Deng, 2021. "Accurate recognition of colorectal cancer with semi-supervised deep learning on pathological images," Nature Communications, Nature, vol. 12(1), pages 1-13, December.
  45. DonHee Lee & Seong No Yoon, 2021. "Application of Artificial Intelligence-Based Technologies in the Healthcare Industry: Opportunities and Challenges," IJERPH, MDPI, vol. 18(1), pages 1-18, January.
  46. Pujin Wang & Jianzhuang Xiao & Ken’ichi Kawaguchi & Lichen Wang, 2022. "Automatic Ceiling Damage Detection in Large-Span Structures Based on Computer Vision and Deep Learning," Sustainability, MDPI, vol. 14(6), pages 1-24, March.
  47. Hailong He & Christine Schönmann & Mathias Schwarz & Benedikt Hindelang & Andrei Berezhnoi & Susanne Annette Steimle-Grauer & Ulf Darsow & Juan Aguirre & Vasilis Ntziachristos, 2022. "Fast raster-scan optoacoustic mesoscopy enables assessment of human melanoma microvasculature in vivo," Nature Communications, Nature, vol. 13(1), pages 1-10, December.
  48. Tan, Hongjun & Guo, Zhiling & Lin, Zhengyuan & Chen, Yuntian & Huang, Dou & Yuan, Wei & Zhang, Haoran & Yan, Jinyue, 2024. "General generative AI-based image augmentation method for robust rooftop PV segmentation," Applied Energy, Elsevier, vol. 368(C).
  49. Jasper Tromp & David Bauer & Brian L. Claggett & Matthew Frost & Mathias Bøtcher Iversen & Narayana Prasad & Mark C. Petrie & Martin G. Larson & Justin A. Ezekowitz & Scott D. Solomon, 2022. "A formal validation of a deep learning-based automated workflow for the interpretation of the echocardiogram," Nature Communications, Nature, vol. 13(1), pages 1-9, December.
  50. Kuofeng Hung & Andy Wai Kan Yeung & Ray Tanaka & Michael M. Bornstein, 2020. "Current Applications, Opportunities, and Limitations of AI for 3D Imaging in Dental Research and Practice," IJERPH, MDPI, vol. 17(12), pages 1-18, June.
  51. Butros M. Dahu & Carlos I. Martinez-Villar & Imad Eddine Toubal & Mariam Alshehri & Anes Ouadou & Solaiman Khan & Lincoln R. Sheets & Grant J. Scott, 2024. "Application of Machine Learning and Deep Neural Visual Features for Predicting Adult Obesity Prevalence in Missouri," IJERPH, MDPI, vol. 21(11), pages 1-23, November.
  52. Soualihou Ngnamsie Njimbouom & Kwonwoo Lee & Jeong-Dong Kim, 2022. "MMDCP: Multi-Modal Dental Caries Prediction for Decision Support System Using Deep Learning," IJERPH, MDPI, vol. 19(17), pages 1-16, September.
  53. Xu Gong & Keqin Guan & Qiyang Chen, 2022. "The role of textual analysis in oil futures price forecasting based on machine learning approach," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 42(10), pages 1987-2017, October.
  54. Misagh Faezipour & Miad Faezipour & Saba Pourreza, 2023. "Resiliency and Risk Assessment of Smart Vision-Based Skin Screening Applications with Dynamics Modeling," Sustainability, MDPI, vol. 15(18), pages 1-19, September.
  55. Huang, Xiaozhi & Wu, Xitong & Cao, Xin & Wu, Jifei, 2023. "The effect of medical artificial intelligence innovation locus on consumer adoption of new products," Technological Forecasting and Social Change, Elsevier, vol. 197(C).
  56. Claus Zippel & Sabine Bohnet-Joschko, 2021. "Rise of Clinical Studies in the Field of Machine Learning: A Review of Data Registered in ClinicalTrials.gov," IJERPH, MDPI, vol. 18(10), pages 1-14, May.
  57. Han Xu & Dashan Shang & Qing Luo & Junjie An & Yue Li & Shuyu Wu & Zhihong Yao & Woyu Zhang & Xiaoxin Xu & Chunmeng Dou & Hao Jiang & Liyang Pan & Xumeng Zhang & Ming Wang & Zhongrui Wang & Jianshi Ta, 2023. "A low-power vertical dual-gate neurotransistor with short-term memory for high energy-efficient neuromorphic computing," Nature Communications, Nature, vol. 14(1), pages 1-11, December.
  58. Ameera S. Jaradat & Rabia Emhamed Al Mamlook & Naif Almakayeel & Nawaf Alharbe & Ali Saeed Almuflih & Ahmad Nasayreh & Hasan Gharaibeh & Mohammad Gharaibeh & Ali Gharaibeh & Hanin Bzizi, 2023. "Automated Monkeypox Skin Lesion Detection Using Deep Learning and Transfer Learning Techniques," IJERPH, MDPI, vol. 20(5), pages 1-20, March.
  59. Dario Sipari & Betsy D. M. Chaparro-Rico & Daniele Cafolla, 2022. "SANE (Easy Gait Analysis System): Towards an AI-Assisted Automatic Gait-Analysis," IJERPH, MDPI, vol. 19(16), pages 1-27, August.
  60. Cemal Erdem & Arnab Mutsuddy & Ethan M. Bensman & William B. Dodd & Michael M. Saint-Antoine & Mehdi Bouhaddou & Robert C. Blake & Sean M. Gross & Laura M. Heiser & F. Alex Feltus & Marc R. Birtwistle, 2022. "A scalable, open-source implementation of a large-scale mechanistic model for single cell proliferation and death signaling," Nature Communications, Nature, vol. 13(1), pages 1-18, December.
  61. Zijing Wu & Ce Zhang & Xiaowei Gu & Isla Duporge & Lacey F. Hughey & Jared A. Stabach & Andrew K. Skidmore & J. Grant C. Hopcraft & Stephen J. Lee & Peter M. Atkinson & Douglas J. McCauley & Richard L, 2023. "Deep learning enables satellite-based monitoring of large populations of terrestrial mammals across heterogeneous landscape," Nature Communications, Nature, vol. 14(1), pages 1-15, December.
  62. Zilong Zhou & Hang Yuan & Xin Cai, 2023. "Rock Thin Section Image Identification Based on Convolutional Neural Networks of Adaptive and Second-Order Pooling Methods," Mathematics, MDPI, vol. 11(5), pages 1-27, March.
  63. Dani Kiyasseh & Aaron Cohen & Chengsheng Jiang & Nicholas Altieri, 2024. "A framework for evaluating clinical artificial intelligence systems without ground-truth annotations," Nature Communications, Nature, vol. 15(1), pages 1-14, December.
  64. Julian Schiele & Thomas Koperna & Jens O. Brunner, 2021. "Predicting intensive care unit bed occupancy for integrated operating room scheduling via neural networks," Naval Research Logistics (NRL), John Wiley & Sons, vol. 68(1), pages 65-88, February.
  65. Taneja, Anu & Arora, Anuja, 2019. "Modeling user preferences using neural networks and tensor factorization model," International Journal of Information Management, Elsevier, vol. 45(C), pages 132-148.
  66. Kai Feng & Han Hong & Ke Tang & Jingyuan Wang, 2023. "Statistical Tests for Replacing Human Decision Makers with Algorithms," Papers 2306.11689, arXiv.org, revised Dec 2024.
  67. Marios Constantinou & Themis Exarchos & Aristidis G. Vrahatis & Panagiotis Vlamos, 2023. "COVID-19 Classification on Chest X-ray Images Using Deep Learning Methods," IJERPH, MDPI, vol. 20(3), pages 1-13, January.
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