GLOBAL DERMATOLOGY ESSENTIALS: Telemedicine and AI

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Introduction to the series

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Introduction

Prof. H. Peter Soyer MD. FACD. FAHMS (Australia) >

Professor and Chair in Dermatology, Director, Dermatology Research Center The University of Queensland Diamantina Institute. Professor Soyer is a world leader in preventative dermato-oncology. In 2007 he moved to Australia from Austria, as the inaugural Chair and Director of the University of Queensland (UQ) Dermatology Research Center and Director of the Princess Alexandra Hospital Dermatology Department, in Brisbane. He has an extensive publication record with more than 200 publications in the last five years and an H-index of 57 (Researcher ID). He initiated and is co-leader of the Australian Skin and Skin Cancer Research Center, a joint collaboration between UQ and QIMR Berghofer Medical Research Institute. He was co-president of the 2017 9 th World Congress of Melanoma, Brisbane...

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AI in Dermatology >

Introduction by Mr. Marc Combalia

Presentation on artificial intelligence in dermatology given by Professor Peter Soyer. AI in dermatology is composed of computer science, mathematics, and domain expertise (dermatology). In 2017, a paper published in “Nature” by Stanford showed that AI could diagnose melanoma with accuracy comparable to expert dermatologists. A few years later, a NatureMED paper from Google Health showed a deep learning system for the differential diagnosis of skin diseases with high accuracy based on 26 common skin conditions, patient metadata, and clinical images.

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Q&A

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Introduction

Prof. Victoria Williams MD (United States of America) >

Victoria Williams, MD is a dermatologist interested in public health, HIV, neglected tropical diseases, albinism, healthcare access, medical education, and eHealth. Since 2008, she has worked in a variety of global health settings focusing on clinical care, teaching, research, programmatic development and educational collaborations. She worked full-time in Botswana from 2016 – 2018 as the Site Director for Botswana UPenn Partnership’s Dermatology Program and Head of Dermatology at Princess Marina Hospital. She has held a number of global health organizational roles, and is currently Co-Director of the Botswana UPenn Parnership’s Dermatology Program, Co- Director of the AAD Resident International Grant Program and a Steering Committee member for the International Alliance...

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Pilot Implementation of an Offline Mobile Clinical Decision Support Tool in Botswana >

Introduction by Mr. Marc Combalia

Dr. Victoria Williams conducted a pilot implementation and feasibility study for Visual DX, a mobile clinical decision support tool. Healthcare in developing countries, including Botswana, heavily relies on primary care physicians and healthcare workers, who face challenges in providing early diagnosis and managing complex medical conditions due to a shortage of specialists and lack of sufficient reference material available at the point of care. Patients often have to wait weeks or months to see a specialist, which may exacerbate their condition or result in missed appointments, inability to pay, or transportation issues. Dr. Williams found it to be a helpful tool in her practice and believes it could improve access to dermatology knowledge and skills for other providers, especially those working in remote areas across the country.

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Q&A

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Introduction

Dr. Prajwal Pudasaini MD (Nepal)

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Use of Teledermatology service in a Government based Hospital of a Low income country >

Introduction by Mr. Marc Combalia

Dr. Prajwal Pudasaini discusses the use of teledermatology service in government-based hospital of low-income countries. This is his second time presenting and we are excited to gain new insights from his experiences in Nepal and the Southeast Asian region, highlighting the importance of teledermatology in these developing countries

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Q&A

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Introduction

Dr. Tu Anh Duong MD. PhD (France) >

Tu Anh Duong MD, PhD is dermatologist with a PhD in design engineering. 

Coordinator of a tele dermatology program TELDERM AP-HP

Coordination of Teledermatology and E Health special interest group of the French society of dermatology (SFD)

Her topics: Dermatological emergencies, tele dermatology, Telemedicine, e health, dermatology digital transformation, innovative organization and Care pathways, Digital metric for dermatology

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Teledermatology: Organizational Challenges and Clinical Pitfalls [Défis organisationnels de la télédermatologie et écueils cliniques] >

Introduction by Mr. Marc Combalia

Teledermatology is a good tool to provide dermatological expertise at distance, including new healthcare professionals or processes and new skills for dermatologists. In comparison to conventional dermatology practice, it highly stands on the quality of images or information provided for a probabilistic diagnosis and management plan. This lecture will illustrate organizational challenges and clinical pitfalls related to teledermatology practice.

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Q&A

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Introduction

Dr. Maria-Angeliki Gkini MD. Msc. PhD (United Kingdom) >

Dr. Maria-Angeliki GKINI is a Consultant Dermatologist at 401 General Army Hospital in Athens, Greece, and a Locum Consultant Dermatologist at Barts Health NHS Trust in London. With expertise in psoriasis and inflammatory skin diseases, she has contributed to numerous research studies, spoken at international conferences, and received awards from prestigious institutions, including the European Academy of Dermatology and Venereology. Dr. Gkini's interests also extend to artificial intelligence in dermatology and multidisciplinary approaches to skin conditions.

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Artificial Intelligence and Psoriatic disease >

Introduction by Mr. Marc Combalia

Dr Gkini has a special interest in inflammatory skin diseases, hair diseases, and psychodermatology. In her presentation, will discuss the application of artificial intelligence in the management of psoriatic disease. The topic starts by defining Artificial intelligence which is a term that has gained popularity in recent times, but there is currently a lack of a standard definition. The umbrella term of artificial intelligence also includes machine learning and deep learning. Deep learning refers to neural networks that have multiplayers of neurons with adjustable weights, inspired by biology. Then the presenter moves to psoriasis.

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Q&A

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Final Discussion

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Closing Comments