Artificial Intelligence Medical Compendium

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

Showing 28,671 to 28,680 of 219,260 articles

Intelligent earthquake prediction using animal vocal behavior analysis based on machine learning and deep learning approaches.

Scientific reports
Earthquakes are natural calamities that are destructive and result in the loss of lives and economic losses globally. It is vital to identify earthquakes at an early stage to reduce the damage caused to the environment and infrastructure. But, tradit... read more 

Low-latency HRV analysis from ultra-short ECG windows using a modular deep-learning framework.

Scientific reports
We present a universal modular deep-learning framework and demonstrate its application to low-latency, streaming-compatible heart rate variability (HRV) analysis using RMSSD as an exemplar metric. A convolutional autoencoder is first pretrained and t... read more 

Design of a soft robotic endoscope with enhanced bending and AI-based prediction.

Scientific reports
Minimally invasive surgery (MIS) increasingly benefits from soft robotic platforms that offer enhanced compliance and safer human-robot interaction. However, one of the most important challenges of design is still to achieve larger bending at low act... read more 

Improving wildlife track classification through human-in-the-loop method and explainable AI.

Scientific reports
In this study, we present the integration of tracker expertise with artificial intelligence (AI) for wildlife species classification and its application to human-in-the-loop with an investigation in explainable AI. We collected images of wildlife tra... read more 

Target identification and assessment in the era of AI.

Nature reviews. Drug discovery
Drug discovery and development is time-intensive, expensive and laden with risk. Identifying the right drug targets is crucial for increasing the probability of success, but traditional target identification and validation often take years, and a tar... 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 

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 

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