Artificial intelligence applied to the ECG is expanding the clinical role of this widely available diagnostic tool beyond ...

Aims To develop prediction models for identifying cases with poor visual outcomes after surgery for primary rhegmatogenous ...

Abstract: Although future context is widely regarded useful for word prediction in machine translation, it is quite difficult in practice to incorporate it into neural machine translation. In this ...

Governments use algorithms to select, advise or profile citizens, and to assess risks. But how do you know whether such an ...

Abstract: Currently,research on machine translation is mainly divided into four stages: dictionary matching method, comprehensive linguistic knowledge method, corpus based statistical machine ...

Digital addiction (DA) has emerged as a significant global concern, yet traditional diagnostic methods relying on self-report questionnaires face subjective bias and threshold inconsistencies. Recent ...

WiMi Hologram Cloud Inc. (NASDAQ: WIMI) ("WiMi" or the "Company"), a leading global Hologram Augmented Reality ("AR") Technology provider, has announced its research into the Synergic Quantum ...

Seizure unpredictability is one of the most debilitating aspects of epilepsy. In recent years, advances in processing power, machine learning, and statistical modeling have accelerated a paradigm ...

Strategic initiative to accelerate practical quantum computing through cross-platform execution to reach fault-tolerant performance ...

Artificial intelligence and machine learning help computers learn from data, identify patterns, improve performance, and make decisions, transforming industries through technologies like neural ...

Objectives This study aims to explore the ability to identify high-grade intracranial arterial stenosis (ICAS) by an artificial intelligence (AI) designed to detect large vessel occlusions (LVO) and ...