IMCAS World Congress 2025
Program

Objectives: Presenting the advantages and added value of MDR approved AI driven digital dermoscope. explanation of work flow & precision of the AI tool.

Introduction: MDR and classification of AI tool in Dermoscopy and their added value in daily practice. results of latest publications and clinical trials. presenting the Hardware functions and practical examples in daily practice.

Materials / method: publications & clinical trial results
technical documentation of technology provided by FotoFinder Systems GmbH

Results: The CNN revealed an accuracy and ROC AUC with corresponding 95 % confidence intervals (CI) of 91.0 % (83.8 % to 95.2 %) and 0.981 (0.962 to 1). In level I, dermatologists showed a mean accuracy of 83.7 % (82.5 % to 84.8 %). With level II information, the accuracy improved to 87.8 % (86.7 % to 88.9 %; p < 0.001). When comparing accuracies of CNN and dermatologists in level II, the CNN’s accuracy was higher (91.0 % versus 87.8 %, p < 0.001). For experts with level II information results were on par with the CNN (91.0 % versus 90.4 %, p = 0.368).

Conclusion: The tested CNN accurately differentiated melanocytic from non-melanocytic skin lesions and outperformed dermatologists. The CNN may support clinicians and could be used in an ensemble approach combined with other CNN models. these 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?
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): FOTOFINDER SYSTEMS in Germany

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 in Germany

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?
Yes
Please specify entities (individual, company, society): employee of 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 was not supported by any direct or non direct funding. It is under the author's own responsability

Disclosures

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

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

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: SNJ

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 is presented thanks to the support of: MEICET

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