2 lectures / chairs 4 videos 1 badge



Dr. Michael Benzaquen completed medical education at the Faculty of Medicine of Marseille, Aix-Marseille University (Marseille, France), and ranked first among 3000 students in the first year of medical school. He then completed his residency in Dermatology at Assistance Publique Hôpitaux de Marseille, before a fellowship in the department of Dermatology at Hôpital Nord de Marseille. His professional experiences abroad in Columbia University (New York City, USA) and Inselspital - University Hospital of Bern (Bern, Switzerland) improved his clinical skills and knowledge in Dermatology, as well as his success in ECFMG certification (USA). He graduated from several inter-university diplomas in Internal Medicine, Pediatric Dermatology, Dermatological Laser and Dermatological Surgery. As an active member of the French Society of Dermatology and the European Academy of Dermatology and Venereology, he is invited as speaker in many international congresses. His works have been published in international peer-reviewed journals. He notably investigated about infectious diseases with cutaneous manifestations (Dirofilariasis, Nocardiosis, syphilis, scabies), as well as systemic and inflammatory diseases (dermatomyositis, vasculitis, mucous membrane pemphigoid, pyoderma gangrenosum, bullous pemphigoid). As the Vice-President of the Scientific Council of the French Laser Group, he encouraged young dermatologists in learning and practicing dermatological lasers.

read more
add item add Michael BENZAQUEN

Michael BENZAQUEN's publications (22)

Combined treatment of hypertrophic and keloid scars with intralesional injection of corticosteroids and laser-assisted corticosteroid delivery.

Oct, 2019

read more

Dermatologic therapy

Development and accuracy of an artificial intelligence algorithm for acne grading from smartphone photographs.

Aug, 2019

We developed an artificial intelligence algorithm (AIA) for smartphones to determine the severity of facial acne using the GEA scale and to identify different types of acne lesion (comedonal, inflammatory) and postinflammatory hyperpigmentation (PIHP) or residual hyperpigmentation. Overall, 5972 images (face, right and left profiles) obtained with smartphones (IOS and/or Android) from 1072 acne patients were collected. Three trained dermatologists assessed the acne severity for each patient. One acne severity grade per patient (grade given by the majority of the three dermatologists from the two sets of three images) was used to train the algorithm. Acne lesion identification was performed from a subgroup of 348 images using a tagging tool; tagged images served to train the algorithm. The algorithm evolved and was adjusted for sensibility, specificity and correlation using new images. The correlation between the GEA grade and the quantification and qualification of acne lesions both by the AIA and the experts for each image were evaluated for all AIA versions. At final version 6, the GEA grading provided by AIA reached 68% and was similar to that provided by the dermatologists. Between version 4 and version 6, AIA improved precision results multiplied by 1.5 for inflammatory lesions, 2.5 for non-inflammatory lesions and by 2 for PIHP; recall was improved by 2.6, 1.6 and 2.7. The weighted average of precision and recall or F1 score was 84% for inflammatory lesions, 61% for non-inflammatory lesions and 72% for PIHP. read more

Experimental dermatology

Multiple venous malformations revealing a familial cerebral cavernomatosis.

Jul, 2019

read more

Clinical and experimental dermatology
Load more  

Michael BENZAQUEN's learned societies (5)