An ultrasound of the lungs is a reliable, radiation-sparing, and cost-effective option for detecting lung complications in patients with rheumatoid arthritis (RA), according to a compilation of ...

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).

For zone 6 (left antero-inferior region) specifically, trained HCPs outperformed lung ultrasound experts, acquiring 90.9% diagnostic-quality images compared with 77.3% by lung ultrasound experts ...

By automatically counting B-lines in a lung image, the tool helps doctors quickly identify and assess a patient's lung issues at the point of care. By Katie Adams on July 05, 2023 3:19 pm Share ...

Detection of COVID-19 features in lung ultrasound images using deep neural networks. Communications Medicine, 2024; 4 (1) DOI: 10.1038/s43856-024-00463-5 ...

The AI analyzes ultrasound lung images to spot features known as B-lines, which appear as bright, vertical abnormalities and indicate inflammation in patients with pulmonary complications. It ...

In-Vivo Assessment of Pulmonary Fibrosis and Pulmonary Edema in Rodents Using Ultrasound Multiple Scattering. IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, 2020; 1 DOI ...

Another vital application of lung ultrasound is in managing heart failure, a condition that affects 6.2 million Americans and the WHO has labeled it as a global pandemic.

Endobronchial Ultrasound (EBUS) is a minimally invasive procedure used to diagnose and treat diseases of the airways. During an EBUS, a small ultrasound probe is inserted through the mouth and into ...

Artificial intelligence can spot COVID-19 in lung ultrasound images much like facial recognition software can spot a face in a crowd, new research shows. The findings boost AI-driven medical ...

Artificial intelligence can spot COVID-19 in lung ultrasound images much like facial recognition software can spot a face in a crowd, new research shows. The findings boost AI-driven medical ...