Based Detection, Linguistic Biomarkers, Machine Learning, Explainable AI, Cognitive Decline Monitoring Share and Cite: de Filippis, R. and Al Foysal, A. (2025) Early Alzheimer’s Disease Detection from ...

The AI Annotation Market is growing rapidly as demand rises for high-quality labeled data across computer vision and NLP use cases, with the U.S. segment expanding from USD 0.66 billion in 2025E to ...

Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, medical devices, and advanced robots that work near humans — all contexts ...

Department of Radiation Oncology, Mayo Clinic, Phoenix, AZ, United States Introduction: Data sharing is essential for advancing research in radiation oncology, particularly for training artificial ...

Abstract: The computational complexity of the Transformer model grows quadratically with input sequence length. This causes a sharp increase in computational cost and memory consumption for ...

Purpose: Brain tumor segmentation with MRI is a challenging task, traditionally relying on manual delineation of regions-of-interest across multiple imaging sequences. However, this data-intensive ...

Patent applications on artificial intelligence and machine learning have soared in recent years, yet legal guidance on the patentability of AI and machine learning algorithms remains scarce. The US ...

“To maximize the likelihood that applications and patents will be found eligible under Section 101 by the USPTO and courts [after Recentive], applicants should carefully craft a narrative of a ...

Dana Heitz reviews a criminal case out of Arizona involving AI-generated evidence. She sets out some ethical considerations for its future use—an issue of interest to attorneys and courts in New York, ...