AIMC Topic: Infection Control
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Micro- and Nano-Bots for Infection Control.
Advanced materials (Deerfield Beach, Fla.)
Apr 10, 2025
Medical micro- and nano-bots (MMBs and MNBs) have attracted a lot of attention owing to their precise motion for accessing difficult-to-reach areas in the body. These emerging tools offer the promise of non-invasive diagnostics and therapeutics for a...
Artificial intelligence in hospital infection prevention: an integrative review.
Frontiers in public health
Apr 2, 2025
BACKGROUND: Hospital-acquired infections (HAIs) represent a persistent challenge in healthcare, contributing to substantial morbidity, mortality, and economic burden. Artificial intelligence (AI) offers promising potential for improving HAIs preventi...
Leveraging AI-driven nudge theory to enhance hand hygiene compliance: paving the path for future infection control.
Frontiers in public health
Jan 23, 2025
Hand hygiene is critical for preventing infections, yet maintaining compliance remains challenging across healthcare, schools, and communities. Despite strong evidence, lapses occur due to cognitive barriers, understaffing, limited resources, and ant...
Promoting hand hygiene in a chemotherapy day center: the role of a robot.
Antimicrobial resistance and infection control
Dec 21, 2024
BACKGROUND: Hand hygiene is a critical component of infection prevention in healthcare settings. Innovative strategies are required to enhance hand hygiene practices among patients and healthcare workers (HCWs).
Artificial intelligence for training and reporting infection prevention measures in critical wards.
Frontiers in public health
Oct 16, 2024
Integration of an electronic hand hygiene auditing system with electronic health records using machine learning to predict hospital-acquired infection in a health care setting.
American journal of infection control
Sep 21, 2024
BACKGROUND: Hospital-acquired infections (HAIs) increase morbidity, mortality, and health care costs. Effective hand hygiene (HH) is crucial for prevention, but achieving high compliance remains challenge. This study explores using machine learning t...
Harnessing computational tools of the digital era for enhanced infection control.
BMC medical informatics and decision making
Sep 12, 2024
This paper explores the potential of artificial intelligence, machine learning, and big data analytics in revolutionizing infection control. It addresses the challenges and innovative approaches in combating infectious diseases and antimicrobial resi...
Navigating the future: machine learning's role in revolutionizing antimicrobial stewardship and infection prevention and control.
Current opinion in infectious diseases
May 31, 2024
PURPOSE OF REVIEW: This review examines the current state and future prospects of machine learning (ML) in infection prevention and control (IPC) and antimicrobial stewardship (ASP), highlighting its potential to transform healthcare practices by enh...
Assisting the infection preventionist: Use of artificial intelligence for health care-associated infection surveillance.
American journal of infection control
Mar 14, 2024
BACKGROUND: Health care-associated infection (HAI) surveillance is vital for safety in health care settings. It helps identify infection risk factors, enhancing patient safety and quality improvement. However, HAI surveillance is complex, demanding s...
The use of smart environments and robots for infection prevention control: A systematic literature review.
American journal of infection control
Mar 15, 2023
BACKGROUND: Infection prevention and control (IPC) is essential to prevent nosocomial infections. This manuscript aims at investigating the current use and role of robots and smart environments on IPC systems in nosocomial settings METHODS: The syste...
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