Lightweight convolutional neural networks improved lung cancer classification accuracy in histopathological images while ...

Central retinal artery occlusion can result in permanent vision loss. Effective treatment is lacking. We conducted a phase 3, double-blind, double-dummy, randomized, controlled trial involving ...

In recent years, numerous landslides on hillsides in urban and rural areas have underscored that understanding and predicting ...

Multi-ignition wildfires are a dangerous challenge for firefighters. But a new model from the Lawrence Livermore National ...

Using artificial intelligence, DinoTracker can accurately classify dinosaur tracks around 90 percent of the time ...

NYU Langone model predicts post-discharge nursing care need with 88% accuracy using admission notes and risk factor analysis.

Medical artificial intelligence is a hugely appealing concept. In theory, models can analyze vast amounts of information, recognize subtle patterns in data, and are never too tired or busy to provide ...

Additive manufacturing has revolutionized manufacturing by enabling customized, cost-effective products with minimal waste.

Although large language models (LLMs) have the potential to transform biomedical research, their ability to reason accurately across complex, data-rich domains remains unproven. To address this ...

A key outcome from lung cancer screening studies is the concept of ‘stage-shift’ seen in screen-detected cancers compared ...

Background Asthma is an umbrella diagnosis encompassing distinct pathophysiological mechanisms. While a global problem, our ...