Abstract
MALDI-ToF MS has become a cornerstone of the clinical microbiology laboratory. The reliability and ease-of-use of these instruments make them a popular choice of study to expand their applications and increase efficiency. The use of artificial intelligence has rapidly expanded in recent years and efforts are underway to integrate this technology into the clinical microbiology laboratory to expand the applications of MALDI-ToF MS and advance beyond current limitations in the identification of clinical isolates. At the same time as the rise of AI, clinical laboratories are facing pressure to increase efficiency due to the critical shortage of qualified laboratory personnel. Studies examining the performance of simplified testing workflows seek to help laboratorians do more with less. The improvement and creation of additional databases is also improving the rate of successful identifications. This review seeks to provide an update on recent developments around these topics.
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