Artificial Intelligence Medical Compendium

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

Showing 29,381 to 29,390 of 219,931 articles

Throat and acoustic paired speech dataset for deep learning-based speech enhancement.

Scientific data
In high-noise environments such as factories, subways, and busy streets, capturing clear speech is challenging. Throat microphones can offer a solution because of their inherent noise-suppression capabilities; however, the passage of sound waves thro... read more 

Designing metaverse interaction systems for the Turkish language enhanced by fine-tuning and retrieval-augmented generation (RAG).

Scientific reports
The metaverse refers to a digital environment that enables real-time user interaction through immersive technologies. Recent advancements in deep learning have particularly strengthened the capabilities of Natural Language Processing (NLP) and Large ... read more 

Efficient quantum algorithm for the design of complex materials: quantum circuit learning.

Scientific reports
Validity of the quantum circuit learning (QCL) method for the prediction of physical properties of complex materials has been explored by comparing the prediction results of Vickers hardness of the high entropy alloys with those predicted by the conv... read more 

Interpretable QSAR models for acute oral toxicity via tuned XGBoost and hybrid data sampling techniques.

Scientific reports
Accurate, interpretable prediction of acute oral toxicity (LD₅₀) is challenged by severe dataset imbalance and complex structure-activity relationships. This study develops a transparent QSAR framework by integrating 2D topological and 3D conformatio... read more 

Spatiotemporal deep learning for real-time video-based deepfake detection using 3DCNN, 3DResNet, TCN, and VAE.

Scientific reports
Advanced AI techniques enable the creation of deepfake videos which endanger digital security and produce misinformation while threatening individual privacy rights. The detection and classification of manipulated content represent an immediate prior... read more 

Improving performance for multi-category anthropogenic debris detection in river environments by using a size-tailored annotation approach and data augmentation.

Scientific reports
Accurate detection of anthropogenic riverine debris is essential for environmental monitoring and sustainable waterway management. While deep learning-based object detection methods have shown promising results in related domains, their application t... read more 

Hybrid supervised deep learning for lung adenocarcinoma diagnosis to optimize surgical strategies.

NPJ precision oncology
Intraoperative frozen section pathological diagnosis of lung adenocarcinoma serves as the gold standard for determining the extent of surgical resection. Due to the dual constraints of intraoperative time limitations and the challenge of manually ass... read more