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
Utilizing Machine Learning Techniques for Computer-Aided COVID-19 Screening Based on Clinical Data

article Full Text OpenAlex

Comment on Megat Ramli et al. A Systematic Review: The Role of Artificial Intelligence in Lung Cancer Screening in Detecting Lung Nodules on Chest X-Rays. Diagnostics 2025, 15, 246

article Full Text OpenAlex

AI-CAD for diagnostic mammography: comparison to radiologists according to different indications

article Full Text OpenAlex

MultiXpert: Dual-stream synergistic enhancement with cross-modal alignment for zero-shot chest x-ray diagnosis

article Full Text OpenAlex

Leveraging deep learning applied to chest radiograph images to identify individuals at high risk of chronic obstructive pulmonary disease: a retrospective model validation study

article Full Text OpenAlex

Multi-Class Segmentation and Classification of Intestinal Organoids: YOLO Stand-Alone vs. Hybrid Machine Learning Pipelines

article Full Text OpenAlex

The ethical challenges in the integration of artificial intelligence and large language models in medical education: A scoping review

review Full Text OpenAlex

Telemedicine for persons with epilepsy in India: a mixed methods study

article Full Text OpenAlex

Balancing Accuracy and Readability: Comparative Evaluation of AI Chatbots for Patient Education on Rotator Cuff Tears

article Full Text OpenAlex

Artificial Intelligence in Cardiopulmonary Resuscitation: Revolutionizing Resuscitation Through Precision and Prediction – A Narrative Review

review 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 14186 FWCI1679.53914845

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

book-chapter Full Text OpenAlex 2903 FWCI1534.39099732

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

book-chapter Full Text OpenAlex 2661 FWCI2401.17396021

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

review Full Text OpenAlex 2460 FWCI128.44803606

UNETR: Transformers for 3D Medical Image Segmentation

article Full Text OpenAlex 2373 FWCI591.86736514

ChatGPT: A comprehensive review on background, applications, key challenges, bias, ethics, limitations and future scope

review Full Text OpenAlex 2145 FWCI112.07156547

AI in health and medicine

review Full Text OpenAlex 2111 FWCI207.5294117

Segment anything in medical images

article Full Text OpenAlex 1779 FWCI1108.28078273

What Is the Impact of ChatGPT on Education? A Rapid Review of the Literature

review Full Text OpenAlex 1547 FWCI81.09753804

Benefits, Limits, and Risks of GPT-4 as an AI Chatbot for Medicine

article Full Text OpenAlex 1421 FWCI74.29580904