Background: The recent advances in machine translation (MT) offer an appealing and low-
cost solution to overcome language barriers in multiple contexts (eg, travelling, cultural …

Clinicians dedicate significant time to clinical documentation, incurring opportunity cost.
Artificial intelligence (AI) tools promise to improve documentation quality and efficiency. This …

As of May 15th, 2022, the novel coronavirus SARS-COV-2 has infected 517 million people
and resulted in more than 6.2 million deaths around the world. About 40% to 87% of patients …

Various AI systems have taken a unique space in our daily lives, helping us in decision-
making in critical as well as non-critical scenarios. Although these systems are widely …

This collection critically examines the practical impacts of machine translation (MT) through
the lens of an ethics of care. It addresses the ideological issues in MT development linked to …

Sharing data across hospitals for disease modeling is challenging due to concerns over
patient privacy and the lack of an efficient privacy-preserving data mining framework …

Supervised machine learning algorithms depend on accurate labeling of target data to
develop models that can derive relationships between input data and the target data. One …

Methods Death report data from national-level cause of death surveillance sites in Fujian
Province from 2016 to 2022, involving 403,547 deaths, were analyzed. The Wide and Deep …

The COVID-19 pandemic has brought to the forefront the critical intersection of public health
and cybersecurity. As health systems worldwide grappled with unprecedented challenges …

Background: In 2021, the European Union reported> 270,000 excess deaths, including>
16,000 in Portugal. The Portuguese Directorate-General of Health developed a deep neural …