What happens when simulations get real and cosmetic dermatology goes virtual?

Abstract

The healthcare sector is next to investigate this groundbreaking digital innovation that promises to revolutionize our medical ecosystem. This was made possible by utilizing the benefits of augmented reality (AR) and virtual gaming for health.1 The metaverse holds immense promise in revolutionizing health care by leveraging AI for disease prevention, diagnosis, and education. Its transformative impact on medicine benefits both clinicians and patients, as evidenced during the COVID-19 pandemic. AI-driven solutions enable prevention, prediction, diagnosis, and education, while optimizing learning and research experiences through personalized virtual models for healthcare providers.2 Examples of its use in health care include chatbots for mental health, AI-assisted surgery, and virtual healthcare assistants.3 Similarly, an AI application like ChatGPT* is another way to sift through millions of references and pull out relevant information. ChatGPT works as a virtual assistant to help eliminate errors, personalize treatment, remove geographical boundaries, and request handling capacity. For patients, the biggest benefit of AI in medicine is accuracy in diagnosis, prevention, and education. The performance of AI models is promising due to their high accuracy, sensitivity, and specificity. The reproducibility of the performance models in real-life practice has been reported as a critical point.4 As mentioned prior, AI has already become the forerunner in health care in terms of precision, speed, and safety. According to some studies, the use of virtual reality (VR) in health care provides the benefit of 230% improvement in surgical performance in comparison with traditional training methods; procedures are completed 29% faster when trained in VR, and the risk of errors is 6 times lower.5 In the future, AI will continue to evolve and have this powerful impact on the healthcare system and society as a whole. Moreover, AI lowers healthcare expenses by reducing rates of morbidity and mortality, improving the effectiveness of the healthcare system, in lowering healthcare expenditures by reducing the number of unnecessary interventions, hospital visits, and automating some operations. In order to set out the loop holes that AI can bring to cosmetic dermatology, it is of utmost significance to mark the points of attraction that AI can have for cosmetic dermatology. To this purpose, we will go over the improvements that AI suggests to the field of cosmetic dermatology and then we will jot down research gaps for future publications. Studies have shown that 30% of diagnosed diseases globally are dermatological and a significant portion of these processes have led to misdiagnoses. These facts leave no doubt about the necessity of more accurate prevention, diagnosis, and education in the field of dermatology.6 AI is revolutionizing dermatology by creating a comprehensive model based on various dermatological architectures worldwide. Its increasing use, particularly in skin cancer detection, has integrated AI into daily dermatological practice. AI's potential extends to tumor detection, classification, grading, molecular characterization, treatment personalization, drug discovery, and clinical research. Moreover, AI tools aid primary care clinicians in accurate skin analysis and diagnosis, particularly for imperceptible features, ensuring better observations and consistent measures.7 Dermatologists perform one-third of all cosmetic procedures in the United States.7 As a very popular subcategory of dermatology, cosmetic dermatology and the market related to it have already indicated significant interest in the use of AI to its benefit.8 AI-implemented techniques, procedures, and devices in cosmetic dermatology have drawn the attention of both patients and physicians. For instance, tools for at-home skin analysis, and applications of AR to skincare tailored for individuals are only a few of these developments.9 Customizable skincare, AR application