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

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). The ULTR-AI ...

An AI-powered lung ultrasound tool has outperformed human experts in diagnosing pulmonary tuberculosis (TB), offering a faster, non-invasive alternative that exceeds WHO benchmarks Researchers from ...

(Monday, 14 April 2025, Vienna, Austria) A pioneering study presented today at ESCMID Global 2025 has demonstrated that an AI-powered lung ultrasound outperforms human experts by 9% in diagnosing ...

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) (Monday ...

Neonatal clinicians lack a readily available imaging tool for this purpose. Objective To determine the ability of lung ultrasound (LUS) of the dependent region to detect real-time changes in lung ...

Véronique Suttels, a doctoral researcher at the University of Lausanne. “The ULTR-AI suite leverages deep learning algorithms to interpret lung ultrasound in real time, making the tool more accessible ...

Introduction: Lung ultrasound (LUS) has become an essential imaging modality for assessing various pulmonary conditions, including the presence of B-line artifacts. These artifacts are commonly ...