Disclosures

Did you receive any funding to support your research for this TOPIC?
Yes
Please specify entities (individual, company, society): Symatese

Were you provided with any honoraria, payment or other compensation for your work on this study?
Yes
Please specify entities (individual, company, society): Symatese

Do you have any financial relationship with any entity which may closely compete with the medications, materials or instruments covered by your study?
No

Do you own or have you applied for any patents in conjunction with the instruments, medications or materials discussed in your study?
No

This work is presented thanks to the support of: Symatese

Objectives: This study is proposed as a new possibility of improving the periorbital area, using EMF. Our wide experience on powerful results with EMF in anti-aging lead us carrying out a research on the periorbital area with a specific handpiece.

Introduction: Previous research on anti-aging and damaged tissues showed us through immunohistochemical examinations the presence of collagen type III, typical of a child, therefore a regenerative improvement. So, why not applying it on the periorbital area?

Materials / method: On this delicate area we utilized a specific handpiece. There were 5 sessions, once a week, 15 minutes per session in total (7 minutes per eye).

Results: All the patients had an improvement on colour, eyelid firmness, opening of the eye and edematous bags.

Conclusion: Now we have another string to our bow thanks to the regeneration with EMF, without any side effects and with great results.

Disclosures

Did you receive any funding to support your research for this TOPIC?
No

Were you provided with any honoraria, payment or other compensation for your work on this study?
No

Do you have any financial relationship with any entity which may closely compete with the medications, materials or instruments covered by your study?
Yes
Please specify entities (individual, company, society): Work with the compagnie

Do you own or have you applied for any patents in conjunction with the instruments, medications or materials discussed in your study?
No

This work is presented thanks to the support of: EXPO ITALIA

Disclosures

Did you receive any funding to support your research for this TOPIC?
No

Were you provided with any honoraria, payment or other compensation for your work on this study?
No

Do you have any financial relationship with any entity which may closely compete with the medications, materials or instruments covered by your study?
No

Do you own or have you applied for any patents in conjunction with the instruments, medications or materials discussed in your study?
No

This work was not supported by any direct or non direct funding. It is under the author's own responsability

Objectives: Highlighting the impact of AI as an assistant in daily practice of a modern dermatology clinic. Understanding the strengths and weaknesses of AI as a medical tool.

Introduction: The concept and integration of AI, the validation process and today`s accuracy of the tool. Based on clinical cases the positive aspects and the challenge on boarderline lesions is explained.

Materials / method: Human With Machine Study - Assessment of Diagnostic Performance of Dermatologists Cooperating With a Convolutional Neural Network in a Prospective Clinical Study - Winkler et al. (2023)

Skin lesions of face and scalp - Classification by a market-approved convolutional neural network in comparison with 64 dermatologists
Haenssle et al. (2021)

Results: The CNN revealed a sensitivity, specificity, and ROC AUC with corresponding 95% confidence intervals (CI) of 95.0% (95% CI 83.5% to 98.6%), 76.7% (95% CI 64.6% to 85.6%), and 0.918 (95% CI 0.866–0.970), respectively.

Conclusion: FotoFinder Study findings suggest that dermatologists may improve their performance when they cooperate with the market-approved CNN and that a broader application of this human with machine approach could be beneficial for dermatologists and patients.

Disclosures

Did you receive any funding to support your research for this TOPIC?
Yes
Please specify entities (individual, company, society): FOTOFINDER SYSTEMS

Were you provided with any honoraria, payment or other compensation for your work on this study?
Yes
Please specify entities (individual, company, society): FOTOFINDER SYSTEMS

Do you have any financial relationship with any entity which may closely compete with the medications, materials or instruments covered by your study?
Yes
Please specify entities (individual, company, society): FOTOFINDER SYSTEMS

Do you own or have you applied for any patents in conjunction with the instruments, medications or materials discussed in your study?
No

This work is presented thanks to the support of: FOTOFINDER SYSTEMS