Letter to Editor: Development of transdisciplinary approach scale for healthcare professionals.

This study provides a novel evaluation of ChatGPT’s accuracy and content quality across three proficiency levels in response to microbiology-related queries, using outputs from versions 3.5 and 4.1 mini. By applying a keyword-based scoring framework rooted in a clinical microbiology reference guide, it reveals how artificial intelligence (AI)-generated answers vary with question specificity and complexity. This adds to existing literature by introducing a structured, proficiency-based benchmarking approach relevant to education in microbiology. The findings have broad utility, especially in academic settings, where students must meet the expectations in assessments. The study highlights how ChatGPT’s outputs can expose the reliance on specific keywords in exam scoring, an insight valuable for learners. It emphasizes that, beyond factual accuracy, exam success often hinges on using the key terms, which AI models may or may not generate depending on their proficiency level. Importantly, this work demonstrates ChatGPT’s potential as a reflective tool for assessment readiness, helping students recognize gaps in their exam-oriented language. By aligning AI performance with academic evaluation patterns, this study reinforces the value of AI not just for learning content but for improving alignment with how knowledge is tested. The authors confirm that all supporting data, code and protocols have been provided within the article or through supplementary data files. Bacteria, among the most diverse and ubiquitous micro-organisms on Earth, play critical roles in ecosystems, industry, medicine and human health. The discovery of numerous new bacterial species globally in recent years has underscored their diverse impacts [, ]. While many bacteria contribute to advancements in bioremediation [] and the understanding of the human microbiome [], others have emerged as significant threats, causing infectious disease outbreaks and straining healthcare systems worldwide []. According to the World Health Organization [], the 2024 Bacterial Priority Pathogens List emphasizes the global threat posed by antibiotic-resistant pathogens, categorizing 15 families into critical, high and medium priorities. Critical-priority pathogens, such as , rifampicin-resistant and Enterobacterales, represent severe risks, particularly in low- and middle-income countries. High-priority pathogens include , , , and , while medium-priority pathogens, such as and , disproportionately impact vulnerable populations in resource-limited settings []. Given their significant impact, understanding bacterial species, their characteristics and their behaviour is fundamental in fields like microbiology, biotechnology and clinical research [].