9th World Congress of Teledermatology, Imaging and AI for Skin Diseases Programme Preliminary Programme

Preliminary Programme

Virtual Pre-Recorded Sessions. (Available From November 29th, 2021)

The pre-recorded sessions are on-line and accessible via any browser in the Congress’ Virtual Platform

Scientific Sessions (1 to 8). All talks are 20 mins

Session 1: Teledermatology in the era of COVID-19

  • E-health in Norway before and after the COVID-19 pandemic
    Thomas Schopf, NOR

  • The before, during and after COVID-19 pandemia
    Paola Pasquali, ESP

  • Impact of the COVID-19 Pandemic on Dermatology Practice Worldwide
    Claudio Conforti, ITA

  • Digital Dermatology – Experience from Scotland during lockdown and beyond
    Shareen Muthiah, GBR

  • The practice of teledermatology pre-, per, and post-COVID pandemic
    Jayakar Thomas, IND
Session 2: Augmented intelligence for skin cancer in practice

  • What we’ve learnt deploying AI in Skin Cancer pathways in the UK
    Dan Mullarkey, GBR & Dilraj Kalsi, GBR

  • Augmented intelligence in practice – insights from the SMARTI Trial
    Victoria Mar, AUS

  • Real-life implementation of AI in dermatology
    Maryam Sadeghi, CAN

  • Objective deep skin phenotyping for melanoma risk stratification incorporating artificial intelligence and 3D total body imaging
    Brigid Betz-Stablein, AUS

  • Risks and benefits of AI in Teledermatology
    Josep Malvehy, ESP

  • Artificial & augmented intelligence – opportunities and risks
    Philipp Tschandl, AUT

  • The latest research on melanoma detection
    Veronica Rotemberg, USA

  • Interobserver and Human-AI concordance in differentiating between invasive and in situ melanoma
    John Paoli, SWE & Sam Polesie, SWE
Session 3: Imaging technologies in teledermatology

  • Confocal microscopy and its role in teledermatology
    Manu Jain, USA

  • Dermatoscopic imaging
    Nizar Mullani, USA

  • Dermoscopy Image Quality for Teledermatology
    Rupert Barry, IRL
Session 4: PASSION Project

  • The PASSION project: Telemedicine in Dermatology using AI / Machine Learning on Skin of color – a Global collaboration
    Christophe Hsu, CHE

  • Deep learning skin disease classifiers – current status and future prospects
    Somesh Gupta, IND

  • Building scalable methods for data sharing in dermatology
    Sharad Kumar, AUS

  • PASSION Project, data collection in Madagascar and Guinea
    Fahafahantsoa Rapelanoro Rabenja, MDG
Session 5: Teledermatology globally

  • Teledermatology in Africa: partnering together to increase access to care
    Kari Wanat, USA

  • Teledermatology in the United States: changes from COVID-19 and future directions
    Jules Lipoff, USA

  • Teledermatology in German Speaking Countries
    Christian Greis, CHE

  • Teledermatology – Experience in Singapore
    Eugene Tan, SGP
Session 6: Augmented intelligence for general dermatology

  • Piction Health
    Susan Conover, USA

  • The True Potential of AI in Dermatology and Teledermatology
    Juthika Thakur, CAN

  • AI, Machine Learning and Clinical Decision Support
    Art Papier, USA

  • Teledermatology and AI
    Cristian Navarrete-Dechent, CHL

  • Randomized study of a AI-based dermatology tool
    Yun Liu, USA

  • Artificial intelligence in dermatopathology
    Kiran Motaparthi, USA
Session 7: General teledermatology

  • A review of international teledermatology
    Karen McKoy, USA

  • Sao Paolo Brazil
    Mara Giavina-Bianchi, BRA

  • Teledermatology and global access to dermatological care
    David Moreno-Ramírez, ESP

  • Virtual Dermatology in Nepal
    Anil Jha, NPL

  • Telepsoriasis
    Alexander Navarini, CHE
Session 8: Public Health and Digital Health

  • Global Governance of Telemedicine and AI for Skin Diseases
    Akarsh Venkatasubramanian, CHE

  • Digital Health Policy & Regulation –The Pulse & the Path Forward
    Ivy Lee, USA

  • Ethics and AI in Dermatology
    Justin Ko, USA

  • Digital technology in skin cancer prevention and early detection
    Monika Janda, AUS

  • The role of standards in accelerating the uptake of AI in dermatology
    Liam Caffery, AUS

  • Artificial Intelligence and Skin Cancer Diagnostics: Impact of regulatory reforms on clinical trial design and post-market surveillance
    Samantha MacNamara, AUS

Live Virtual Discussion Sessions December 9th + 10th, 2021

The recorded discussion sessions will be available online on December 14th.
The Live Virtual Session times are Central European Time (CET) which is 1 hour ahead of Greenwich Mean Time (GMT +1).

Thursday 9th December: 18.00 – 20.05 (CET)

18.00 – 18.05    Welcome Message
  • With the ISTD President: Amanda Oakley
18.05 – 18.35    Live Discussion Session 1: Teledermatology in the era of COVID-19
  • Chaired by Elvira Moscarella
18.35 – 19.05    Live Discussion Session 2: Augmented intelligence in practice

19.05 – 19.35    Live Discussion Session 3: Imaging technologies in teledermatology

19.35 – 20.05    Live Discussion Session 4: PASSION Project
  • Chaired by Christophe Hsu

Friday 10th December: 18.00 – 20.05 (CET)

18.00 – 18.30    Live Discussion Session 5: Teledermatology globally
  • Chaired by Amanda Oakley
18.30 – 19.00    Live Discussion Session 6: AI for general dermatology

19.00 – 19.30    Live Discussion Session 7: General teledermatology

19.30 – 20.00    Live Discussion Session 8: Public Health and Digital Health

20.00 – 20.05    Final remarks and wrap up
  • With the ISTD Board Members: Amanda Oakley, Elvira Moscarella, Trilokraj Tejasvi, Dinesh Kumar Devaraj, Christophe Hsu, Gerald Gabler, Liam Caffery, David Mo-reno-Ramírez

Overall Expected Learning Outcomes:
. To learn the results of studies carried out by various international groups on the different methodologies and uses of teledermatology.
. To learn the results of international studies on different artificial intelligence applications for the diagnosis and treat-ment of skin diseases.
. To learn the results of international studies on different complementary diagnostic tests applied to telemedicine (con-focal, teledermatopathology, etc.)