Harnessing of Artificial Intelligence for the Diagnosis and Prevention of Hospital-Acquired Infections: A Systematic Review

Buket Baddal, Ferdiye Taner, Dilber Uzun Ozsahin

Diagnostics 2024 review cited by 46

Source Open-access PDF More in Medicine & Health

importance 8/10 ai assisted Artificial Intelligence in Healthcare and Education infection surveillance stage: research

Problem

Healthcare-associated infections are the most common adverse events in healthcare, and conventional surveillance is costly and labor intensive.

Why it matters

HAIs constitute a major global public health concern affecting patient safety.

What the AI did

The systematic review summarizes AI/ML applications for HAI surveillance, risk stratification, prediction and timely detection of infections.

Results

not stated in source

Impact

The abstract states AI-supported systems have been explored for HAI-related tasks, but cites potential rather than measured outcomes.

Record

Venue	Diagnostics
Published	2024
Work type	review
Authors	Buket Baddal, Ferdiye Taner, Dilber Uzun Ozsahin
Citations	46 (OpenAlex, at import time)
References	187
Model or method	not stated in source
Organization	not stated in source
Primary source	https://doi.org/10.3390/diagnostics14050484
Open access	gold
Keywords	artificial intelligence, hospital-acquired infections, surveillance, systematic review, machine learning

Importance rating

8 / 10

major — millions of lives, an industry or a field

Abstract states HAIs are the most common adverse events in healthcare and a major global public health concern, with surveillance costly and labor intensive; AI review covers 162 articles.

Basis: stated. The source itself states the scale. Stated scale: not stated in source. Method and limits.

More in Medicine & Health

#	Paper	Year	Citations	Importance
1	Multimodal deep learning of fundus abnormalities and traditional risk factors for cardiovascular risk prediction Yeong Chan Lee, Jiho Cha, Injeong Shim, Woong‐Yang Park, Se Woong Kang...	2023	107	10
2	Reliable Tuberculosis Detection Using Chest X-Ray With Deep Learning, Segmentation and Visualization Tawsifur Rahman, Amith Abdullah Khandakar, Muhammad Abdul Kadir, Khand...	2020	651	10
3	A comparative analysis of machine learning classifiers for stroke prediction: A predictive analytics approach Nitish Biswas, Khandaker Mohammad Mohi Uddin, Sarreha Tasmin Rikta, Sa...	2022	116	10
4	Cardiovascular Disease Diagnosis from DXA Scan and Retinal Images Using Deep Learning Hamada R. H. Al-Absi, Mohammad Tariqul Islam, Mahmoud Ahmed Refaee, Mu...	2022	89	10
5	Proteomics and Machine Learning Approaches Reveal a Set of Prognostic Markers for COVID-19 Severity With Drug Repurposing Potential Kruthi Suvarna, Deeptarup Biswas, Medha Gayathri J. Pai, Arup Acharjee...	2021	76	10