Artificial Intelligence (AI) is revolutionizing the dynamics of technological advancement in the field of medical imaging, ...

Deep neural networks (DNNs) have become a cornerstone of modern AI technology, driving a thriving field of research in ...

Global Health Data Archiving Market size is expected to be worth around USD 3.4 Billion by 2033 from USD 1.4 Billion in 2023 ...

An analysis of over 41 million research papers from the past 40 years has revealed that researchers who use artificial ...

Automated machine learning can accurately identify two types of benign tumors that develop in the same space within the brain ...

Researchers from Tianjin University have introduced the Emergency Medical Procedures 3D Dataset (EMP3D), a pioneering ...

Abstract: Zero-shot learning (ZSL) aims to recognize unseen classes by transferring semantic knowledge from seen categories. However, existing methods often struggle with the persistent semantic gap ...

MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data ...

These developments suggest AI’s impact on materials R&D is as much organisational as it is technical, shifting labs toward ...

In imaging, AI systems have demonstrated superior accuracy in breast cancer screening and skin lesion classification, often surpassing experienced clinicians. AI revolutionizes cancer care by ...

A team of researchers from the University of Chicago's Pritzker School of Molecular Engineering (UChicago PME) has used Quantum Machine Learning (QML) to identify cancer early.

Africa accounts for the majority of global births affected by the condition, yet universal newborn screening remains rare.