While many studies have focused on generating high-fidelity synthetic images for beneficial applications, very few have ...

The big challenge in deep learning is that you need a lot of data to train the neural network. Fortunately, one of my ...

Artificial intelligence (AI) shows tremendous promise for analyzing vast medical imaging datasets and identifying patterns ...

Scientists developed a machine-learning tool that can teach itself, with minimal external guidance, to differentiate between ...

Traditional disease detection methods in agriculture often rely on manual observation by specialists, a process that is labor ...

Artificial intelligence models have immense potential for diagnosing myopia, assessing its risk factors, and predicting its ...

Researchers have developed an AI model that analyzes sequences of brain scans to accurately predict tumor recurrence in children with gliomas.

A novel AI tool called MindGlide extracts key biomarkers from MRI scans to help interpret and assess treatment efficacy in ...

A pioneering study presented today at ESCMID Global 2025 has demonstrated that an AI-powered lung ultrasound outperforms human experts by 9% in diagnosing pulmonary tuberculosis (TB).

A study presented at ESCMID Global 2025 has demonstrated that an AI-powered lung ultrasound outperforms human experts by 9% ...