This article provides a comprehensive review of various acne severity assessment scales, including the Pillsbury scale, Cook’s acne grading scale, Leeds acne grading system, Global Acne Grading System (GAGS), and Investigator’s Global Assessment (IGA). The authors discuss the characteristics, advantages, limitations, and applicability of these scales. They emphasize the need for future acne grading scales to be objective, accurate, comprehensive, easy to use, and applicable in various clinical and research settings. The article also explores the potential role of artificial intelligence (AI) in developing ideal acne grading scales, highlighting the advantages of AI-based methods in objectivity, consistency, and time efficiency. The review concludes with a discussion on the importance of training healthcare providers in acne severity assessment and the potential benefits of AI-based systems in improving the accuracy and efficiency of acne grading.This article provides a comprehensive review of various acne severity assessment scales, including the Pillsbury scale, Cook’s acne grading scale, Leeds acne grading system, Global Acne Grading System (GAGS), and Investigator’s Global Assessment (IGA). The authors discuss the characteristics, advantages, limitations, and applicability of these scales. They emphasize the need for future acne grading scales to be objective, accurate, comprehensive, easy to use, and applicable in various clinical and research settings. The article also explores the potential role of artificial intelligence (AI) in developing ideal acne grading scales, highlighting the advantages of AI-based methods in objectivity, consistency, and time efficiency. The review concludes with a discussion on the importance of training healthcare providers in acne severity assessment and the potential benefits of AI-based systems in improving the accuracy and efficiency of acne grading.