Artificial intelligence for clinical decision support for monitoring patients in cardiovascular ICUs: A systematic review.

Background: Artificial intelligence (AI) and machine learning (ML) models continue to evolve the clinical decision support systems (CDSS). However, challenges arise when it comes to the integration of AI/ML into clinical scenarios. In this systematic review, we followed the Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA), the population, intervention, comparator, outcome, and study design (PICOS), and the medical AI life cycle guidelines to investigate studies and tools which address AI/ML-based approaches towards clinical decision support (CDS) for monitoring cardiovascular patients in intensive care units (ICUs).

Trends in mortality in children hospitalized with meningococcal infections, 1957 to 1987.

We reviewed charts of 261 children seen at Children's Hospital of Wisconsin from 1957 to 1987 with culture-proven meningococcemia or meningococcal meningitis, and we analyzed trends in mortality and disease severity for that interval. Overall case fatality was 10%, ranging from 9% in the period 1957 to 1963, to 16% in the period 1980 to 1987 (P = 0.15).