Vitamin D deficiency is significantly associated with polycystic ovary syndrome (PCOS) and may play a role in its development by worsening metabolic dysfunction. Mendelian randomization ...

Combined assessment using MSUS semiquantitative scores and inflammatory biomarkers may improve diagnostic accuracy and ...

Advances in artificial intelligence (AI) are now opening new possibilities for faster and more accurate flood mapping, ...

This article digs into how machine learning (ML) and artificial intelligence (AI) contribute to the optimization of green energy systems and electric vehicles (EVs).

Background Endovascular therapy (EVT) is standard treatment for large vessel occlusion in patients with a National Institutes ...

Objective To estimate the prevalence of potential overtreatment of type 2 diabetes mellitus (T2DM) among older adults and to develop and compare predictive models to identify patient and physician ...

New paired studies from the University of Minnesota Twin Cities show that machine learning can improve the prediction of floods. The studies, published in Water Resources Research and the Proceedings ...

This illustrates a widespread problem affecting large language models (LLMs): even when an English-language version passes a safety test, it can still hallucinate dangerous misinformation in other ...

Choosing an AI model is no longer about “best model wins.” Instead, the right choice is the one that meets accuracy targets, fits latency and cost budgets, respects compliance boundaries and ...

Cambridge, MA — In high-stakes settings like medical diagnostics, users often want to know what led a computer vision model to make a certain prediction, so they can determine whether to trust its ...

Discover how RFID data is transforming logistics back-office accuracy. improving freight audit, inventory reconciliation, and compliance.

Background: Although severe maternal morbidity (SMM), such as severe hemorrhage and sepsis, can occur from conception to 6 ...