AI in medical imaging market growth is driven by deep learning advancements, personalized medicine, lack of radiologists, and AI integration in telemedicine. It faces challenges like high costs, data ...

Intrusion detection systems, long constrained by high false-positive rates and limited adaptability, are being re-engineered ...

The neural network approach uses multiple or “deep” layers that learn to identify increasingly complex features in data. The ...

An AI-powered model that analyzes electrocardiograms was able to accurately detect COPD early in internal testing and ...

Regulations limit both the intensity and frequency of whip use during horse racing. Nevertheless, compliance is currently verified manually after each race. Researchers at University of Tsukuba have ...

A growing movement of technically sophisticated patients are channeling their diagnoses into AI systems that address gaps ...

Artificial intelligence (AI) electrocardiogram (ECG) data are promising for early detection of chronic obstructive pulmonary disease (COPD).

Breath tests could detect cancer at an early stage, according to a new study using sensors and artificial intelligence.

Across all included studies, AI-based diagnostic systems demonstrated high overall accuracy. When measured against expert ...

Md Firoz Kabir, a PhD researcher in Information Technology, is emerging as a leading voice in artificial intelligence-driven ...

The proposed Coordinate-Aware Feature Excitation (CAFE) module and Position-Aware Upsampling (Pos-Up) module both adhere to ...

编辑｜Panda刚刚，Geoffrey Hinton 正式成为历史上第二位 Google Scholar 引用量突破 100 万大关的计算机科学家。在他之前，只有他的老搭档、另一位「深度学习教父」Yoshua Bengio ...