Input and expertise from radiologists can help develop better and more trustworthy artificial intelligence (AI) tools, new ...

1. From 'Simulating Humans' to 'Data-Driven': The Ultimate Goal and Implementation Path of AI ...

Artificial intelligence is changing how we study dinosaurs. Scientists use AI to rebuild fossils and create realistic images.

Background Machine learning based on clinical characteristics has the potential to predict coronary CT angiography (CCTA) findings and help guide resource utilisation.Methods From the SCOT-HEART ...

Overview Clear prompts help machine learning models become more accurate and reliable.Role-specific prompts generate focused ...

What if plants could speak when they were thirsty? Agriculture, in essence, is a dialog among crops, soil and climate. Yet drought, the most insidious stressor, remains largely silent until its damage ...

A new study finds that many popular image datasets used to train AI models are contaminated with test images or ...

In the Age of AI, many health care providers dream of a digital assistant, unencumbered by fatigue, workload, burnout or ...

Volume 33 of SLAS Technology, includes one literature highlights column, eight original research articles and four Special Issue (SI) features.

In this paper, we propose a new method for CT pathological image analysis of brain and chest to extract image features and classify images. Because the deep neural network needs a large number of ...

Tree species classification using machine learning and deep learning models of single tree point cloud data. The final step involves analyzing and evaluating the classification results.