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The new design software developed by an aerospace engineer at the University of Illinois at Urbana-Champaign takes your concept and requirements and rapidly generates design configurations from conventional to out-of-this-world, including a 3D CAD model and performance evaluations.

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The race to control the gen AI market has begun. Who will come out on top?

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Harnessing the power of artificial intelligence (AI) will enable new strategies for tackling cancer in a collaborative venture that brings together team science and vast data resources.

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James and Heather Gills have donated $10 million to the Wilmer Eye Institute, Johns Hopkins Medicine, for establishment of a new center at Wilmer: the James P. Gills Jr., M.D., & Heather Gills Artificial Intelligence Innovation Center.

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As AI is deployed in clinical centers across the U.S., one important consideration is to assure that models are fair and perform equally across patient groups and populations. To better understand the fairness of medical imaging AI, a team of researchers trained over 3,000 models spanning multiple model configurations, algorithms, and clinical tasks.

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A serious, irreversible eye disease known as myopic maculopathy is on the rise. Yalin Wang, a professor of computer science and engineering in the School of Computing and Augmented Intelligence at ASU, is leading a team to find solutions

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A new virtual conference will explore how artificial intelligence (AI) can help health care providers and scientists efficiently analyze vast amounts of data and make more informed decisions, the Endocrine Society announced today.

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SEATTLE – Oct. 2, 2024 – Four National Cancer Institute-designated cancer centers – Dana-Farber Cancer Institute, Fred Hutch Cancer Center, Memorial Sloan Kettering Cancer Center, and The Sidney Kimmel Comprehensive Cancer Center and Whiting School of Engineering at Johns Hopkins – have joined forces and secured funding from AI technology leaders AWS, Deloitte, Microsoft and NVIDIA, to create the Cancer AI Alliance (CAIA).

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A new AI tool is providing a sci-fi level of precision to physicians reviewing images of people’s livers, spleens, kidneys, and more to determine with some exactitude if they are showing any abnormal traits that could shorten a person’s life

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A new study led by staff from the Wildlife Conservation Society (WCS) in East Africa has used a predictive artificial intelligence (AI) algorithm to confirm the location of previously-unmapped high marine biodiversity areas along Mozambique’s extensive coastline.

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Researchers at Case Western Reserve University and Vanderbilt University are pioneering a new approach to prostate cancer surgery by combining advanced robotics and “low-field” MRI technology.

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How do consumers feel about robots generating emotionally charged marketing content? That’s the question a New York Institute of Technology professor raises in a new Journal of Business Research study.

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Aaronson argues that AI nationalist policies in one country can make it harder for firms in another country to develop AI. ...

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Researchers explored how infants act purposefully by attaching a colorful mobile to their foot and tracking movements with a Vicon 3D motion capture system. The study tested AI's ability to detect changes in infant movement patterns. Findings showed that AI techniques, especially the deep learning model 2D-CapsNet, effectively classified different stages of behavior. Notably, foot movements varied significantly. Looking at how AI classification accuracy changes for each baby gives researchers a new way to understand when and how they start to engage with the world.

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UCLA researchers have developed a deep-learning framework that teaches itself quickly to automatically analyze and diagnose MRIs and other 3D medical images – with accuracy matching that of medical specialists in a fraction of the time.