ReviewAntibiotics (Basel, Switzerland)2020
Role of Artificial Intelligence in Fighting Antimicrobial Resistance in Pediatrics.
Review in Antibiotics (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 2 of them syntheses that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
29 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Pediatric stewardship in Italy: a necessity, not an option - a National Multi-Society Expert Consensus on Antimicrobial and Diagnostic Stewardship (SIP, SITIP, SIMRI, SIAIP, SIMEUP, SIPPS, SICUPP, SIMIT, SIMPE, SIPINF, SIT, SIAATIP, SARNEPI, AIEOP, SIM, SITI, SIF, SIFACT, SITA, SIN).Italian journal of pediatrics · 2025Pooled it
- Mapping knowledge landscapes and emerging trends in artificial intelligence for antimicrobial resistance: bibliometric and visualization analysis.Frontiers in medicine · 2025Pooled it
- Artificial Intelligence-Driven Discovery and Optimization of Antimicrobial Peptides Targeting ESKAPE Pathogens and Multidrug-Resistant Fungi.Microorganisms · 2026Review
- Digital Twins in Pediatric Infectious Diseases: Virtual Models for Personalized Management.Journal of personalized medicine · 2025Review
- Leveraging artificial intelligence for One Health: opportunities and challenges in tackling antimicrobial resistance - scoping review.One health outlook · 2025Article
- Challenges and Opportunities: Interplay between Infectious Disease and Antimicrobial Resistance in Medical Device Surface Applications.ACS omega · 2025Review
- Review
- State of the Art of Antimicrobial and Diagnostic Stewardship in Pediatric Setting.Antibiotics (Basel, Switzerland) · 2025Review
- Airway Colonization in Children with Medical Complexity: Challenges and Management Strategies.Journal of clinical medicine · 2025Review
- The Role of ChatGPT and AI Chatbots in Optimizing Antibiotic Therapy: A Comprehensive Narrative Review.Antibiotics (Basel, Switzerland) · 2025Review
- Exploration of novel bioactive compounds from the microbiome of fish and shellfish as an alternative to replace antibiotic drugs in aquaculture farming.Gut microbiome (Cambridge, England) · 2025Review
- Fighting antimicrobial resistance in Brazil: strengthening diagnostic stewardship, antimicrobial stewardship, and policies for a healthier future.Frontiers in public health · 2025Review
- Tackling the Antimicrobial Resistance "Pandemic" with Machine Learning Tools: A Summary of Available Evidence.Microorganisms · 2024Review
- Specific and Nonspecific Effects of Influenza Vaccines.Vaccines · 2024Review
- Cryosphere: a frozen home of microbes and a potential source for drug discovery.Archives of microbiology · 2024Review
- Use of Biomaterials in 3D Printing as a Solution to Microbial Infections in Arthroplasty and Osseous Reconstruction.Biomimetics (Basel, Switzerland) · 2024Review
- Research agenda for using artificial intelligence in health governance: interpretive scoping review and framework.BioData mining · 2023Article
- A nested cohort 5-year Canadian surveillance of Gram-negative antimicrobial resistance for optimized antimicrobial therapy.Scientific reports · 2023Article
- Artificial Intelligence to Improve Antibiotic Prescribing: A Systematic Review.Antibiotics (Basel, Switzerland) · 2023Review
- Short-term antibiotic therapy for the most common bacterial respiratory infections in infants and children.Frontiers in pharmacology · 2023Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Artificial intelligence (AI) is a field of science and engineering concerned with the computational understanding of what is commonly called intelligent behavior. AI is extremely useful in many human activities including medicine. The aim of our narrative review is to show the potential role of AI in fighting antimicrobial resistance in pediatric patients. We searched for PubMed articles published from April 2010 to April 2020 containing the keywords "artificial intelligence", "machine learning", "antimicrobial resistance", "antimicrobial stewardship", "pediatric", and "children", and we described the different strategies for the application of AI in these fields. Literature analysis showed that the applications of AI in health care are potentially endless, contributing to a reduction in the development time of new antimicrobial agents, greater diagnostic and therapeutic appropriateness, and, simultaneously, a reduction in costs. Most of the proposed AI solutions for medicine are not intended to replace the doctor's opinion or expertise, but to provide a useful tool for easing their work. Considering pediatric infectious diseases, AI could play a primary role in fighting antibiotic resistance. In the pediatric field, a greater willingness to invest in this field could help antimicrobial stewardship reach levels of effectiveness that were unthinkable a few years ago.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.