A deep learning model using retinal images obtained during ROP screening may be used to predict diagnosis of BPD and PH.

Nuclear medicine is a rapidly evolving domain at the intersection of advanced radiopharmaceuticals, hybrid imaging modalities such as PET/CT and PET/MR, and ...

Cardiovascular diseases account for approximately 80% of all deaths caused by known medical conditions, making them the leading cause of mortality worldwide. The present study investigates the use of ...

Robot perception and cognition often rely on the integration of information from multiple sensory modalities, such as vision, ...

Ensemble integrating three architectures achieved area under the curve of 0.9208, outperforming individual models.

There's been a seismic shift in science, with scientists developing new AI tools and applying AI to just about any question that can be asked. Researchers are now putting actual seismic waves to work, ...

Hypertension is the leading risk factor for cardiovascular disease, the most common cause of death worldwide. Less than half the people with high blood pressure are aware of their diagnosis, and only ...

By transforming movement into data, Timothy Dunn is reshaping how scientists can study behavior and the brain.

BBN-led team will initially build a smart spectrum manager that can detect radar use, predict 5G interference, and reroute ...

The European Union has launched a sweeping investigation into Elon Musk’s Grok chatbot on X following global outrage over sexually explicit AI-generated images, including those involving children. The ...

Retinal detachments can be diagnosed using a deep learning-powered fundus imaging system, offering expertise to screening sites.