Ethical considerations for artificial intelligence in dermatology: a scoping review

British Journal of Dermatology, Journal Year: 2024, Volume and Issue: 190(6), P. 789 - 797

Published: Feb. 8, 2024

The field of dermatology is experiencing the rapid deployment artificial intelligence (AI), from mobile applications (apps) for skin cancer detection to large language models like ChatGPT that can answer generalist or specialist questions about diagnoses. With these new applications, ethical concerns have emerged. In this scoping review, we aimed identify AI and understand their implications. We used a multifaceted search approach, searching PubMed, MEDLINE, Cochrane Library Google Scholar primary literature, following PRISMA Extension Scoping Reviews guidance. Our advanced query included terms related dermatology, considerations. yielded 202 papers. After initial screening, 68 studies were included. Thirty-two clinical image analysis raised misdiagnosis, data security, privacy violations replacement dermatologist jobs. Seventeen discussed limited colour representation in datasets leading potential misdiagnosis general population. Nine articles teledermatology concerns, including exacerbation health disparities, lack standardized regulations, informed consent use challenges. Seven addressed inaccuracies responses models. examined attitudes toward trust AI, with most patients requesting supplemental assessment by physician ensure reliability accountability. Benefits integration into practice include increased patient access, improved decision-making, efficiency many others. However, safeguards must be put place application AI.

Language: Английский

---

Artificial Intelligence Application in Diagnosing, Classifying, Localizing, Detecting and Estimation the Severity of Skin Condition in Aesthetic Medicine: A Review

Dermatological Reviews, Journal Year: 2025, Volume and Issue: 6(1)

Published: Jan. 15, 2025

ABSTRACT Background The integration of artificial intelligence (AI) and machine learning (ML) has revolutionized aesthetic medicine, enhancing the diagnosis, classification, treatment skin conditions. These technologies offer high precision, personalized care, potential to reduce human error. This review aimed evaluate current applications AI ML in focusing on studies graded as Level I or II evidence by Oxford Centre for Evidence‐Based Medicine (CEBM). Methods A comprehensive search MEDLINE, PubMed, Ovid databases identified employing diagnosing managing Studies were included if they demonstrated diagnostic accuracy, improved personalization, other measurable clinical outcomes. Results systems showed accuracy detecting conditions such cancer, acne, psoriasis, seborrheic dermatitis. AI‐based platforms facilitated plans, therapeutic outcomes while minimizing errors. reduced time lowered healthcare costs, demonstrating significant improving patient care. However, challenges algorithmic bias, data privacy concerns, need high‐quality training datasets highlighted. Conclusion have transformative offering enhanced outcomes, cost reductions. Addressing limitations related algorithm regulatory oversight, quality is essential fully realize benefits practice. Future research should focus developing robust, ethical, regulatory‐compliant solutions.

Language: Английский

---

Artificial intelligence in cosmetic dermatology

Journal of Cosmetic Dermatology, Journal Year: 2024, Volume and Issue: 23(10), P. 3305 - 3311

Published: Aug. 27, 2024

Cosmetic dermatology is a growing field as more patients are seeking treatments for esthetic concerns. Traditionally, practitioners and utilize their own perceptions, current beauty standards, manual observation to determine satisfaction with cosmetic interventions. Artificial intelligence (AI) can be introduced into provide objective data-driven recommendations both dermatologists patients.

Language: Английский

---

Skin, scalpel and the silicon chip: a systematic review on the accuracy, bias and data governance of artificial intelligence in dermatology, minimally invasive aesthetics, aesthetic, plastic and reconstructive surgery

European Journal of Plastic Surgery, Journal Year: 2025, Volume and Issue: 48(1)

Published: Feb. 5, 2025

Language: Английский

---

NEUROCOSMETICS: AN EXTENSIVE OVERVIEW

International Journal of Applied Pharmaceutics, Journal Year: 2025, Volume and Issue: unknown, P. 31 - 38

Published: March 7, 2025

The review on this fast-evolving field of neuro cosmetics, at the intersection neuroscience and cosmetic science, has interestingly led to innovative skincare treatment approaches. paper progresses from a basic discovery neurogenic inflammation made by substance P in 1996 more recent skin-brain axis 2015 its applications. focuses neurotransmitters such as acetylcholine serotonin, neuropeptides Calcitonin Gene-Related Peptide (CGRP), neuroendocrine cells, Merkel, Langerhans achieve skin homeostasis, control, aging. article looks neurocosmetic applications anti-aging, barrier enhancement, pigmentation management active ingredients acetyl hexapeptide-8, niacinamide, cannabidiol. Also reviewed are delivery systems including nanoencapsulation, microneedle technology, iontophoresis enhancing bioavailability penetration neuroactive compounds. A meta-analysis clinical trials is shown. One study, which lasted up 24 w, registered 27% decrease wrinkles an 18% increase elasticity with peptide complex; second one described 45% rosacea erythema Alpha-Melanocyte Stimulating Hormone (α-MSH) Transient Receptor Potential Vanilloid (TRPV1) antagonists. In review, emerging areas for future research AI-driven personalized neurocosmetics, interventions gut-brain-skin axis, chronocosmetics, epigenetic modulation, smart nanocarriers, bioelectronic therapies. Safety regulatory issues that arise commented on, emphasizing long-term studies standardized apt any researcher or dermatologist looking comprehensive overview how neurocosmetics hold transformative promise topical formulations.

Language: Английский

---

Applications of Artificial Intelligence and Machine Learning on Critical Materials Used in Cosmetics and Personal Care Formulation Design

Current Opinion in Colloid & Interface Science, Journal Year: 2024, Volume and Issue: 73, P. 101847 - 101847

Published: Aug. 3, 2024

Language: Английский

---

Advances in Cosmetic Products Towards a New Future

World sustainability series, Journal Year: 2024, Volume and Issue: unknown, P. 193 - 214

Published: Jan. 1, 2024

Language: Английский

---

Predicting tactile sensory attributes of personal care emulsions based on instrumental characterizations: A review

International Journal of Cosmetic Science, Journal Year: 2024, Volume and Issue: 46(6), P. 1035 - 1063

Published: July 25, 2024

Abstract Emulsions in the form of creams, lotions, gels or foams are most widely used personal care formulations to improve condition and feel skin. Achieving an optimal balance between their performance, effectiveness sensory profile is essential, with being a key factor consumer satisfaction success these products market. Well‐established methods using highly trained semi‐trained panels (e.g. Spectrum descriptive analysis, Flash Profile method, Quantitative Descriptive Analysis method ‘Check‐all‐that‐apply’) available commonly for assessment products. Nevertheless, common drawback among all inherent cost, both terms financial resources time requirements. In recent years, research studies have emerged address this limitation by investigating potential correlations tactile attributes instrumental data associated physical characteristics topical formulations. other words, significant efforts been invested development robust specifically designed accurately predict description that panel assessors could establish. These not only faster, cheaper more objective compared traditional testing, but they can also be applied undergone extensive safety toxicological testing. This review summarizes relevant findings, trends current challenges predicting emulsions based on parameters.

Language: Английский

---

Cosmetology in the Era of Artificial Intelligence

Cosmetics, Journal Year: 2024, Volume and Issue: 11(4), P. 135 - 135

Published: Aug. 9, 2024

The integration of artificial intelligence (AI) in cosmetology is transforming the industry numerous ways, including introduction advanced tools such as at-home skin analysis devices that can evaluate quality and augmented reality applications allow users to virtually try on various makeup products. These innovations empower individuals make well-informed decisions about their cosmetic care enable cosmetologists predict treatment outcomes with higher accuracy. In this way, AI enhances patient satisfaction by better aligning expectations achievable results. A computerized database search was performed identify articles relevant topic. comprehensive applied following electronic databases: IEEE Xplore, PubMed, Google Scholar, Research Gate. This review explores four key areas current literature where contributes procedures. Firstly, democratizes skincare making products services more accessible everyone. Secondly, it bridges gap between physicians suppliers enlightening collaboration innovation. Thirdly, improves assessment ingredients ensuring safety efficacy, lastly, provides an ethical alternative animal testing replacing Local Lymph Node Assay (LLNA) Guinea Pig Maximization Test (GPMT) silico models. While offers significant benefits, also raises concerns data privacy, informed consent, potential for promoting unrealistic beauty standards. Addressing these challenges involves implementing measures anonymization de-identification techniques protect sensitive safeguard consent collection processing. article aims highlight responsible use cosmetology, emphasizing importance accuracy customization care, which represents a advancement industry.

Language: Английский

---

Advanced CNN-SVM Machine Learning Techniques for Facial Skin Ultrasound Image Analysis

Lecture notes in computer science, Journal Year: 2025, Volume and Issue: unknown, P. 93 - 103

Published: Jan. 1, 2025

Language: Английский

---