AI AND AESTHETIC MEDICINE: TECHNOLOGICAL CONVERGENCE

Introduction

We have tried to analyse what lies at the core of AZI and Generative AI behind the overhyped bubble fuelling the emergence of this pervasive new technology penetrating now healthcare; medical aesthetics, regenerative medicine, dermo cosmetics, wellness and lifestyle and how it contributes to accelerate the adoption fo new disruptive technologies and democratize the digitalization and personalization of healthcare and medical aesthetics. AI is a type of foundational AI technology that uses machine learning (ML)algorithms to create content, including text, images, audio, video, speech, design, andsoftware code. Generative AI is usually based on a type of neural network called a large language model(LLM). Examples of LLMs include OpenAI’s Chat Generative Pre-training Transformer (ChatGPT)and Generative Pre-trained Transformer 4 (GPT4). Generative AI is likely to impact every business across every sector in the coming years. Generative Popular generative AI platforms include OpenAI’s ChatGPT and GPT4.

The benefits of AI, GenAI and the Metaverse and Web3 pervade the entire medical aesthetics value-chain

• This will expand across sectors and business functions as generative AI becomes moreaccurate and is able to provide reliable factual advice.
• Use cases range from customer support chatbots, and news and marketing contentcreation, to code writing and product design.
• Challenges include bias, incorrect or misleading information (hallucinations), privacyconcerns, misinformation, and copyright issues.In medical aesthetics, generative AI is expected to play animportant role in optimizing the entire value chain, asit has the power to streamline the entire medical aesthetics value-chain from identification of new needs, medical devices discovery, development and enhancement of efficiency of clinical studies, combination with Energy Based Devices, Quantification of their Safety and Efficacy, Ranking and Benchmarking vs. Predicates, enhancement of clinical trials, elaboration of new precision measurement scale to track efficiency
• In clinical trials, it can optimize design, improve eligibility screening, and predict outcomes.
• In manufacturing, it could create optimization plans and automate processes, mitigaterisks, and improve communication. It could also improve the efficiency of supply chains.
• Generative AI could also help companies streamline regulatory affairs.

For Medical Aesthetics Doctors and HCPs as a whole :

• The emergence of the augmented doctor: User-friendly AI powered digital previsualization techniques enabling to prognosticate with staggeringly accuracy the results of medical aesthetics procedures and provide precise guidance to patients on sdimuatoon of results, in 3D and in motion or even with holographic pictures, thus accelerating conversion of considerers into patiengts
• Basic skillset of AI such as machine learning, deep learning, natural language process (NLP), and facial recognition are currently being used in plastic surgery for surgical planning, image analysis and postoperative monitoring. Facial plastic surgery (FPS) relies on clinical expertise and artistic vision to restore form and function to the face. AI has the potential to provide technical support to enhance these skills
• Deep learning algorithms such as Convolutional Neural Networks (CNN) mimic the learning ability of neurons to recognise, differentiate, and assign value to specific data signals. By collecting over a million facial images, CNNs can recognise lines, shapes, colours, and textures to detect subtle changes in facial proportions and symmetry.2 Elliot et al. used FaceX (a CNN), to assess post-operative success by calculating the age reduction achieved in 226 patients following rhytidectomy surgeries. FaceX estimated age based on pre-operative photographs with 96% accuracy. Follow-up images were taken at three and twelve months postoperatively and the software calculated an average age reduction of three years across various surgical techniques, including deep plane, SMAS-plication, fat graft, blepharoplasty, browlift and platysmaplasty.
• Such previsualization techniques also enable to increaoisngly train doctors to familizae themselves with new injection techniques especially for new implantation techniques requiring specific dexterity.

For patients :

• The technology could provide medication adherence support, virtualassistance, personalized recommendations, and customer support and education.
• Tailored Engagement and Personalized Marketing
• AI efficiently processes myriads of multicomposite data from healthcare providers and patients to create customized marketing strategies.
• Sales reps are equipped with insights on preferences, expectations, sensitivities and behavior, enabling meaningful conversations with healthcare professionals.
• Predictive analytics modelling anticipates needs, allowing timely and targeted interactions. Personalized outreach has been shown to increase engagement and boost sales by 5-15%.

Augmenting Sales Force effectiveness: Predictive Analytics for Smarter Strategies

AI predicts prescribing patterns and purchasing behaviors, enabling to sales teams proactively adjust strategies.

By identifying trends and opportunities for cross-selling or upselling, AI enhances the value of customer interactions.

It also helps predict healthcare provider loyalty, flagging potential switches to competitors and enabling timely re-engagement via re-targeting or promotional measures

AI empowers sales representatives with efficient training and education tools personalized recommendations and discussion points, fostering better client relationships.

With tools that predict physician needs and preferences, sales reps become more valuable partners in decision-making.

AI streamlines administrative tasks like appointment scheduling, data entry, Automating such tasks frees up to 40% of a sales rep's time, allowing more focus on building client relationships and closing deals.

AI enhances targeting by analyzing prescribing behaviors and segmenting healthcare providers for optimal engagement

For sales territories, AI leverages geographic and demographic data to balance workloads and improve coverage, leading to increased productivity.

Enhanced Customer Acquisition and Retention

Faster Lead Qualification AI tools quickly identify high-potential leads using advanced scoring systems. By focusing on these opportunities, sales cycles are shortened, and conversion rates improve.

AI identifies at-risk customers by analyzing vulnerabilities and inconsistencies signalling weaknesses in behavior patterns. This allows teams to implement retention strategies and resolve issues proactively, maintaining brand loyalty

The Metaverse powered by AI and blockchain and now chat GPT continue to fuel an unstoppable gamification of the medical aesthetics sector by creating immersive, interactive and dynamic parallel worlds in which consumers and patients alike can indulge their attraction for next-generation technologies, products, protocols and endlessly navigate magical virtual universes where they can fulfil their vision, develop their creativity and their deepen their experiential journey to unprecedented levels of engagement.

This supports client’s loyalty and ultimately in the management of patient-data to generate pattern analysis and better serve their interests in the long-term.

Patients engage in a more authentic and trustworthy deep dialogue with their medical aesthetics doctors when appearing as their avatar or digital twins interacting with another avatar or digital twin of a doctor, as it removes the inhibition of disclosing their most intimate deep-rooted subjective perception blocked by feelings of the boundaries of shame, intimidation in front of an external authority or guilt to confess their dissatisfaction, complex of inferiority. The metaverse breaks them free of these barriers and paves the way for a more fluid patient communication

Patient empowerment via killer applications at the fingertips of patients on their mobile phone: The accuracy, specificity and sensitivity as well as agility of the previsualization and simulation techniques and their modular ramifications able to project 3D motion pictures of a post treatment results facilitate an efficient e-learning process, accelerating the learning curve by fostering a higher degree of perceived freedom to develop and master novel techniques via a trial and error pathway, enabling to track progress reliably and transparently and measure one's own improvements in a very gratifying approach.

In conclusion AI, Gen AI, the Metaverse and Blockchain, similarly to the social networks have developed a synergistic and symbiotic relationship with the Medial Aesthetics Practice and the peri-operative handling and follow-up of patients, enhancing the implementation and traceability of quality and safety measures, elevating the standards of education and retaining of skilled personnel and hence reduce risks for more complex procedures, intensifying the dialogue between manufacturers, doctors and patients and democratizing the access to a seamless patient management as well as automating a number of administrative procedures which used to detour the attention of doctors, so they can now better serve the legitimately rising needs of their customers.