Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...

Abstract: In this study, we aim to develop a respiratory disease detection and classification model using machine learning techniques. Respiratory diseases are a significant global health problem, and ...

Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...

Bridging communication gaps between hearing and hearing-impaired individuals is an important challenge in assistive ...

The 2025 SANS SOC Survey shows AI use is rising, but many SOCs lack integration, customization, and clear validation ...

Abstract: Data privacy and heterogeneity among healthcare settings present fundamental challenges to machine learning (ML) brain tumor classification (BTC) model development based on local data. In ...

Researchers at UC Berkeley and UCSF have developed a new AI foundation model that could help physicians in radiology, or the practice of recognizing and diagnosing medical conditions. The model, named ...

Low-income Americans did not receive any or enough legal assistance for 92 percent of their civil legal problems, according to a report from the Legal Services Corporation. Yale’s Legal AI Lab, which ...

The researchers have used computational fluid dynamics-based modelling of snow patterns in an effort to establish best practices to mitigate snow accumulation in alpine PV plants. “Alpine PV systems ...

Concur and Amadeus agree that OpenAI’s new Atlas browser and its agentic features won’t kill managed travel platforms, but could eventually lead to a hybrid model. Under that scenario, after Atlas ...

Scientists at Tufts have created a powerful 3D model of nasal tissue that reveals surprising new insights into how our sense of smell regenerates and why it sometimes fades. Contrary to past ...