Sejong University
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
RETRACTED ARTICLE: Artificial intelligence in disease diagnosis: a systematic literature review, synthesizing framework and future research agenda
Yogesh Kumar, Apeksha Koul, Ruchi Singla et al.
2022 · 938 Zit.
Deep learning and medical image processing for coronavirus (COVID-19) pandemic: A survey
Sweta Bhattacharya, Praveen Kumar Reddy Maddikunta, Quoc‐Viet Pham et al.
2020 · 483 Zit.
COVID-19 Detection Through Transfer Learning Using Multimodal Imaging Data
Michael J. Horry, Subrata Chakraborty, Manoranjan Paul et al.
2020 · 467 Zit.
Fusion of IoT, AI, Edge–Fog–Cloud, and Blockchain: Challenges, Solutions, and a Case Study in Healthcare and Medicine
Farshad Firouzi, Shiyi Jiang, Krishnendu Chakrabarty et al.
2022 · 103 Zit.
DMFL_Net: A Federated Learning-Based Framework for the Classification of COVID-19 from Multiple Chest Diseases Using X-rays
Hassaan Malik, Ahmad Naeem, Rizwan Ali Naqvi et al.
2023 · 84 Zit.
A Comprehensive Survey of Digital Twins in Healthcare in the Era of Metaverse
Muhammad Turab, Sonain Jamil
2023 · 79 Zit.
Medical Diagnosis Using Machine Learning: A Statistical Review
Kaustubh Arun Bhavsar, Jimmy Singla, Yasser D. Al‐Otaibi et al.
2021 · 61 Zit.
Deep learning framework for rapid and accurate respiratory COVID-19 prediction using chest X-ray images
Chiagoziem C. Ukwuoma, Dongsheng Cai, Md Belal Bin Heyat et al.
2023 · 53 Zit.
Trustworthy artificial intelligence in Alzheimer’s disease: state of the art, opportunities, and challenges
Shaker El–Sappagh, José M. Alonso, Tamer Abuhmed et al.
2023 · 45 Zit.
Determinants of approach behavior for ChatGPT and their configurational influence in the hospitality and tourism sector: a cumulative prospect theory
Heesup Han, Seongseop Kim, Tadesse Bekele Hailu et al.
2024 · 42 Zit.
Blockchain-Federated and Deep-Learning-Based Ensembling of Capsule Network with Incremental Extreme Learning Machines for Classification of COVID-19 Using CT Scans
Hassaan Malik, Tayyaba Anees, Ahmad Naeem et al.
2023 · 33 Zit.
Artificial intelligence in stroke rehabilitation: From acute care to long-term recovery
Spandana Rajendra Kopalli, Madhu Shukla, B Jayaprakash et al.
2025 · 21 Zit.
Advancements in Artificial Intelligence for Medical Computer-Aided Diagnosis
Mugahed A. Al–antari
2024 · 20 Zit.
Making science computable: Developing code systems for statistics, study design, and risk of bias
Brian S. Alper, Joanne Dehnbostel, Muhammad Afzal et al.
2021 · 17 Zit.
Integrating 6G technology in smart hospitals: challenges and opportunities for enhanced healthcare services
Арун Кумар, Mehedi Masud, Mohammed H. Alsharif et al.
2025 · 16 Zit.