Evolution of diagnostic and forensic microbiology in the era of artificial intelligence
Open accessAbstract
Diagnostic microbiology plays a vital role in managing infectious diseases, combating antimicrobial resistance, and containment of outbreaks. During the fourth industrial revolution, when artificial intelligence (AI) became an essential part of our day-to-day lives, its integration into healthcare would further revolutionize our knowledge and potential. Although in the budding stage, AI with machine learning is being increasingly utilized in various aspects of diagnostic microbiology. It can handle large datasets that are difficult to analyze manually. Researchers have developed and demonstrated several machine-learning algorithms for interpreting bacterial cultures, conducting image analysis for microbial detection, and predicting antimicrobial susceptibility patterns. Thus, AI may most likely be the ultimate solution to the ever-increasing demand for improved results with shorter turnaround times. AI can also assist forensic microbiologists in crime scene investigations, as it can guide individual identification, cause and time since death, and manner of death. This review summarizes the application of AI in diagnostic microbiology for performing diverse sets of microbial investigations and is an essential aid in forensic microbiology.
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AI with machine learning is being used to diagnose microbial infections, which can be immense for training and educating technicians in microbiology.
“Similarly, AI with machine learning is being used to diagnose microbial infections, which can be immense for training and educating technicians in microbiology [23].”
From Artificial Intelligence Revolutionizing the Field of Medical Education (2023) · cites this paper as [23]
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Artificial Intelligence Revolutionizing the Field of Medical Education
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Self-citation
- Authors
- Mishra, A., Khan, S., Das, A., & Das, B. C.
- Affiliations
- All India Institute of Medical Sciences, Madurai (IN)
- Corresponding author
- Das, Arghya
- Venue
- Cureus
- Published
- 2023-09-21
- Volume
- 15
- Issue
- 9
- Pages
- e45738-e45738
- ISSN
- 2168-8184 (ISSN-L)
- PMC
- PMC10590455
- OpenAlex
- W4386966220
- Cited by
- 15
- References
- 28
- Citations by year
- 2026: 2 · 2025: 5 · 2024: 7 · 2023: 1
- FWCI
- 0.60
- Type
- journal article
- Language
- en
- Open access
- diamond
- doi.org
- Licence
- cc-by
- Locations
- Cureus (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Clinical Biochemistry › Bacterial Identification and Susceptibility Testing
- Physical Sciences › Computer Science › Artificial Intelligence › Artificial Intelligence Applications
- Keywords
- artificial intelligence, machine learning, microbiological diagnosis, forensic microbiology, antimicrobial resistance, antimicrobial susceptibility prediction, postmortem interval estimation, cause of death determination, manner of death determination, individual identification, epidemic containment, infectious disease diagnosis
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