Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 961 to 970 of 213,401 articles

Deep learning-based early warning of tailings storage facility instability using Sentinel-1 and Radarsat-2 InSAR calibrated with a geomechanical model.

Scientific reports
This study advances the science and application of Interferometric Synthetic Aperture Radar (InSAR) for monitoring tailings storage facilities (TSFs) by integrating multi-scale and multi-source satellite data with geomechanical modelling and deep lea... read more 

The role of AI in combating misinformation: leveraging text mining and social networking analysis.

Scientific reports
Misinformation on social media can be a severe threat to social trust, safety, and health of the population, especially in times of an epidemic like the Monkeypox outbreak. This study specifically focuses on a hybrid RoBERTa-GRU architecture designed... read more 

Domain-independent PPG signal quality assessment framework via representation learning.

Scientific reports
Photoplethysmography (PPG) is a widely used non-invasive sensing technique for monitoring cardiovascular and respiratory parameters, however, its measurements are highly susceptible to artifacts, which can degrade signal quality and, in turn, the acc... read more 

Reinforcement learning-driven imbalanced classification enhanced by a GAN model augmentation for lung cancer detection.

Scientific reports
Lung cancer has been one of the largest causes of cancer related deaths globally with approximately five million deaths annually related to the condition. The capability of computed tomography (CT) scans to identify early and correctly can result in ... read more 

An EfficientNet hybrid deep learning detection framework of network intrusion with an optimized mixture-of-experts architecture.

Scientific reports
The growing interconnectedness of the modern networked products has in turn resulted in a proportional growth. This is in the level of advanced cyber threats and therefore the need to develop intrusion detection systems which is not just accurate but... read more 

Explainable AI for chest radiographs: sex-stratified fairness auditing in CNN-based pneumonia detection.

Scientific reports
Artificial intelligence (AI) systems for chest X-ray (CXR) interpretation can achieve high standalone diagnostic accuracy, yet limited transparency raises concerns about subgroup disparities. We audited sex-stratified performance and attention patter... read more 

Deep learning based groundnut and paddy leaf disease classification using dual attention network.

Scientific reports
Plant diseases are crucial for improving crop yield and ensuring sustainable agricultural practices, particularly for staple crops such as groundnut and paddy leaf. However, existing methods often suffer from limited feature discrimination, inadequat... read more 

Interpretable multimodal deep learning for time-resolved survival prediction after hepatocellular carcinoma resection.

NPJ digital medicine
Hepatocellular carcinoma (HCC) exhibits substantial interpatient heterogeneity, leading to markedly variable outcomes and survival even among patients with similar stages and imaging phenotypes. Mainstream staging systems remain suboptimal, whereas p... read more 

Screening glioma and glioblastoma brain tumors using dual deep learning algorithm incorporated correlative GAN and BrainNet through the probability segmentation.

Scientific reports
The earlier identification of the tumors in human brain can improve the life time of the affected patients. Mainly, Glioma and Glioblastoma are the primary type of brain tumors where the survival rate of the patient is low and hence it's earlier scre... read more