Cosmetology in the Era of Artificial Intelligence
Round 1
Reviewer 1 Report
Comments and Suggestions for AuthorsThe review comprehensively explores the integration of AI technologies in cosmetology, detailing their transformative effects on skin analysis, personalized skincare, and ethical considerations in the field. It discusses the potentials of at-home AI devices, augmented reality in skincare personalization, ethical advantages over traditional animal testing, and strategies to handle data privacy and consent issues.
The manuscript can be considered for publication after major revisions, including the addition of suggested tables and figures, and addressing all comments point-wise.
Abstract
Technical Questions:
1. What AI technologies enhance skin assessments in athome devices?
2. How do augmented reality apps personalize skincare?
3. What ethical benefits does AI offer over animal testing in cosmetology?
4. What are the proposed measures for managing data privacy and consent in AIdriven cosmetology?
Suggestions:
1. Remove the misplaced comma after "such as".
2. Clarify "Democratizing skincare" to complete the sentence.
3. Replace "skin of color" with "dermatological diversity".
4. Add "data privacy" and "ethical AI" to keywords for comprehensive coverage.
Introduction
1. How do AI insilico models surpass invitro models in predicting sensitization potential?
2. What features does SkincareMirror analyze for longterm skincare effects?
3. How does the Flament et al. system customize makeup recommendations?
4. How does the CNN by Kim et al. use EEG data to classify consumer emotions?
Suggestions:
1. Improve transitions by summarizing previous research before introducing new studies.
2. Identify underresearched AI applications in cosmetology for better context.
AI Democratizing Skincare
1. How does Teleaesthetics reduce costs and improve access to aesthetic consultations?
2. How did an AI study ensure accurate skin condition classification from diverse selfies?
3. What are the limitations of using the Fitzpatrick Scale for SOC?
4. How does the Monk scale enhance fairness in dermatologic AI assessments?
Suggestions:
1. Detail how AI technologies address the needs of diverse populations.
2. Discuss the development and limitations of the Fitzpatrick Scale.
AI Bridging the Gap Between Physicians and Cosmetologists
Suggestions:
1. Specify AI tools used in acne diagnosis and treatment and their integration into healthcare workflows.
2. Explain how AI compensates for the declining number of dermatologists, enhancing healthcare efficiency.
Insilico Models for Cosmetic Assessment
Technical Questions:
1. How do insilico models predict skin sensitization without new tests?
2. What are the challenges of using qualitative insilico models in cosmetics?
3. How did the Golden et al. study validate insilico models' effectiveness?
4. What ethical considerations arise with the use of AI in cosmetology?
Suggestions:
1. Provide examples of specific insilico models like ANN or SVM in predicting sensitization.
2. Discuss the benefits of quantitative models for evaluating sensitizers in cosmetics.
Ethical Considerations in AI Applications for Cosmetology
Suggestions:
1. Illustrate how biases in AI affect product recommendations and treatment efficacy.
2. Clarify the impact of the EU AI Act on cosmetology, focusing on fairness and safety.
Overview of Advancements
1. How do bioprinted skin models contribute to safer beauty products?
2. What role does AI play in personalizing beauty products?
3. How are robotics and AI integrated into cosmetology to improve safety?
4. What ethical and data privacy measures are necessary in AIdriven cosmetology?
Suggestions:
1. Elaborate on how bioprinted skin models advance cosmetic safety.
2. Discuss potential risks of robotics and AI in cosmetology.
Table and figures to be included
Include concise tables comparing AI technologies, skin analysis devices, ethical issues, and clinical studies to detail their uses and impacts in cosmetology. Enhance with visual aids like flowcharts of AI processes, bar graphs of consumer satisfaction, diagrams of bioprinted skin, infographics on AI-driven personalization, and heat maps showing algorithm performance across skin types.
Comments on the Quality of English LanguageMinor editing is needed
Author Response
Please see the attachment.
Author Response File: 
Author Response.pdf
Reviewer 2 Report
Comments and Suggestions for AuthorsIn the present manuscript, the author highlighted the role of AI in cosmetics. How the AI can be applied in the prediction, diagnosis and recommendations. The article is well synchronized in writing and bind the readers. There are some recommendations for the improvement of manuscript. The author touched the various fields of cosmetics and role of AI in these field very briefly. It is suggested to include the specific information related to particular topic and elaborate it with some more applications specifically in tables and diagrams. For example, they explain the role of AI in acne, but they can include the table of software with their applications specifically for diagnosis of skin problems including the acne. Similarly, the prediction of ingredients for customised cosmetics can be improved by including which type of ingredients with what side effects can be predicted by different AI software in a more illustrative manner. In conclusion and discussion section, he authors should more focus on specific AI technologies beneficial for cosmetics ingredient prediction, diagnosis and customization with limitations.
Comments on the Quality of English LanguageMinor changes required
Author Response
Please see the attachment.
Author Response File: Author Response.pdf
Round 2
Reviewer 1 Report
Comments and Suggestions for AuthorsThe comments are addressed, and changes are made to improve the quality of the manuscript; hence, it's a green signal from my end.
Kudos to the team! Keep going!!
