Sejong University

RETRACTED ARTICLE: Artificial intelligence in disease diagnosis: a systematic literature review, synthesizing framework and future research agenda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 · 976 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 · 487 Zit.

COVID-19 Detection Through Transfer Learning Using Multimodal Imaging Data

Michael J. Horry, Subrata Chakraborty, Manoranjan Paul et al.

2020 · 468 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 · 117 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 · 86 Zit.

A Comprehensive Survey of Digital Twins in Healthcare in the Era of Metaverse

Muhammad Turab, Sonain Jamil

2023 · 84 Zit.

Medical Diagnosis Using Machine Learning: A Statistical Review

Kaustubh Arun Bhavsar, Jimmy Singla, Yasser D. Al‐Otaibi et al.

2021 · 65 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 · 56 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 · 48 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 · 44 Zit.

Predicting hospitalization of pediatric asthma patients in emergency departments using machine learning

Marion R. Sills, Mustafa Ozkaynak, H. Jang

2021 · 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 · 36 Zit.

Artificial intelligence in stroke rehabilitation: From acute care to long-term recovery

Spandana Rajendra Kopalli, Madhu Shukla, B Jayaprakash et al.

2025 · 27 Zit.

Advancements in Artificial Intelligence for Medical Computer-Aided Diagnosis

Mugahed A. Al–antari

2024 · 26 Zit.

Mitigating Algorithmic Bias in AI-Driven Cardiovascular Imaging for Fairer Diagnostics

Md Abu Sufian, Lujain Alsadder, Wahiba Hamzi et al.

2024 · 23 Zit.