The Use of Machine Learning for Image Analysis Artificial Intelligence in Clinical Microbiology
Bethany Burns, Daniel D. Rhoads, Anisha Misra
Abstract
as its output interpretation and examples include application of the Nugent score for diagnosing bacterial vaginosis and interpretation of urine cultures. The benefits, challenges, development, and implementation strategies of IAAI tools are explored. In conclusion, IAAI is beginning to impact the routine practice of clinical microbiology, and its use can enhance the efficiency and quality of clinical microbiology practice. Although the future of IAAI is promising, currently IAAI only augments human effort and is not a replacement for human expertise.
Topics & Concepts
Clinical microbiologyComputer scienceSoftwareArtificial intelligenceData scienceMicrobiologyBiologyProgramming languageBacterial Identification and Susceptibility TestingMycobacterium research and diagnosisCervical Cancer and HPV Research