A new study published in Scientific Reports has introduced a promising diagnostic tool that could dramatically shorten the ...

Conventional handheld photoacoustic and ultrasound Imaging (PAUS), while offering flexibility, offers only a narrow view of the target region, providing limited information on its structure.

Professor MinWoo Kim’s research team newest development, MoGLo-Net, solves the extensive 3D imaging problems. MoGLo-Net is a deep learning model that automatically tracks transducer movements without ...

Dr. Fatma Kocer, VP Engineering Data Science at Altair, says GDL and other techniques will unleash foundational models akin ...

Drug discovery has long been criticized for its slow, costly, and failure-prone nature. Traditional approaches, particularly ...

The new agent, called Asimov, was developed by Reflection, a small but ambitious startup cofounded by top AI researchers from ...

Discover why some puzzles stump supersmart AIs but are easy for humans, what this reveals about the quest for true artificial ...

NewYork-Presbyterian researchers have developed a deep learning model that increases doctors' abilities to diagnose ...

AI is everywhere. From the massive popularity of ChatGPT to Google cramming AI summaries at the top of its search results, AI ...

Children represent less than 1% of publicly available medical imaging data, according to a preprint study published June 10 in MedRxiv.  To analyze the inclusion of children’s imaging data, ...

In today's AI-driven world, AI tools for data analysis have supercharged the ability to extract meaningful insights from vast ...

Organizations are increasingly challenged to not only integrate AI solutions into core business functions but to do so strategically and responsibly.