The two-year-old boy, who was suffering from COVID and other illnesses, was found unresponsive during nap time at a Fraser Coast childcare centre in 2022.

Discover how AI healthcare technology and machine learning diagnosis are transforming disease detection, improving accuracy, and reshaping patient care in today's evolving medical landscape.

Human metapneumovirus (HMPV) has recently become a headline virus, particularly as cases have drawn attention in parts of the U.S. West Coast. For many people, the name sounds alarming because it is ...

Thirty-day mortality of patients with major trauma fell if they received intubation before hospital admission per prediction from a machine learning risk-stratifying model, according to data published ...

Costa Mesa, California - March 06, 2026 - PRESSADVANTAGE - Sneezing or coughing in cats can quickly raise concern among ...

A total of 114 clinical medicine students who had internships in our hospital from January 2021 and December 2023 selected as the research participants. These students were randomly divided into a PBL ...

Machine learning–enabled risk models can accurately predict mortality and respiratory failure in patients admitted to the hospital with rib fractures. A link to this article will be included in this ...

Machine learning can enhance ARF outcome predictions but faces challenges like data quality, system heterogeneity, and clinician acceptance. High ARF mortality and mechanical ventilation risks ...

Alvin Toffler, in his wave theory, has described three societies in the concept of waves as agricultural society, industrial society, and post-industrial society, AKA Information Age. The information ...

Background: Acute respiratory distress syndrome (ARDS) is a critical condition commonly encountered in the intensive care unit (ICU), characterized by a high incidence and substantial mortality rate.