Toward sustainable diagnostics for Candida albicans : the role of artificial intelligence in analytical chemistry from data processing to Python-based blueness and redness evaluation metrics

Key Points

• The aim is to explore the role of artificial intelligence in enhancing diagnostic methods for Candida albicans.
• Evaluated eighteen diagnostic techniques for Candida albicans.
• Used Python-based tools for analytical evaluation.
• Employed BAGI and RAPI metrics within a sustainability framework.
• Demonstrated systematic comparison of diagnostic methods.
• Aligned techniques with GAC and WAC principles.