专题:COVID-19 diagnosis using AI

This cluster of papers focuses on the application of deep learning, particularly convolutional neural networks, in medical imaging for the detection and diagnosis of COVID-19, pneumonia, and other thoracic diseases using chest X-ray and CT scan images. The research explores the use of artificial intelligence, transfer learning, and image-based deep learning techniques to develop automated systems for accurate medical diagnoses.
最新文献
Development of a long noncoding RNA-based machine learning model to predict COVID-19 in-hospital mortality

article Full Text OpenAlex

Artificial intelligence-powered tools and academic writing: to use or not to use ChatGPT

article Full Text OpenAlex

A blockchain-empowered federated learning-based framework for data privacy in lung disease detection system

article Full Text OpenAlex

How well do large language model-based chatbots perform in oral and maxillofacial radiology?

article Full Text OpenAlex

In-depth analysis of ChatGPT’s performance based on specific signaling words and phrases in the question stem of 2377 USMLE step 1 style questions

article Full Text OpenAlex

Deep learning for personalized health monitoring and prediction: A review

review Full Text OpenAlex

Unveiling ChatGPT's Usage in Open Source Projects: A Mining-based Study

article Full Text OpenAlex

Internet of Things with Deep Learning Techniques for Pandemic Detection: A Comprehensive Review of Current Trends and Open Issues

review Full Text OpenAlex

Tuberculosis Detection From Chest X-Ray Image Modalities Based on Transformer and Convolutional Neural Network

article Full Text OpenAlex

Explainable lung cancer classification with ensemble transfer learning of VGG16, Resnet50 and InceptionV3 using grad-cam

article Full Text OpenAlex

近5年高被引文献
A Multi-Modal Distributed Real-Time IoT System for Urban Traffic Control (Invited Paper)

preprint Full Text OpenAlex 14153 FWCI1663.10426411

Review of deep learning: concepts, CNN architectures, challenges, applications, future directions

article Full Text OpenAlex 6563 FWCI482.37372128

TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation

preprint Full Text OpenAlex 3691 FWCI0

YOLOX: Exceeding YOLO Series in 2021

preprint Full Text OpenAlex 2987 FWCI0

Swin-Unet: Unet-Like Pure Transformer for Medical Image Segmentation

book-chapter Full Text OpenAlex 2757 FWCI1456.14402365

YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information

book-chapter Full Text OpenAlex 2457 FWCI2217.09298017

ChatGPT Utility in Healthcare Education, Research, and Practice: Systematic Review on the Promising Perspectives and Valid Concerns

review Full Text OpenAlex 2375 FWCI124.00075171

A Literature Review on Impact of COVID-19 Pandemic on Teaching and Learning

review Full Text OpenAlex 2311 FWCI360.99747456

UNETR: Transformers for 3D Medical Image Segmentation

article Full Text OpenAlex 2272 FWCI576.0842354

Deep Learning: A Comprehensive Overview on Techniques, Taxonomy, Applications and Research Directions

review Full Text OpenAlex 2122 FWCI201.49590532