2024-06-29 9:00AM local time

Digital Health in Dermatology | World Symposium

All India Institute of Medical Sciences (AIIMS)

Accreditation

Digital Health in Dermatology | World Symposium

Online

2024-06-29

Organized by All India Institute of Medical Sciences (AIIMS)

2024-06-29 9:00AM local time

All India Institute of Medical Sciences (AIIMS)

Accreditation

Welcome note

09:00 - 09:03

Welcome note

All-India Institute of Medical Sciences was established as an institution of national importance by an Act of Parliament with the objects to develop patterns of teaching in Undergraduate and Post-graduate Medical Education in all its branches so as to demonstrate a high standard of Medical Education in India; to bring together in one place educational facilities of the highest order for the training of personnel in all important branches of health activity; and to attain self-sufficiency in Post-graduate Medical Education. The Institute has comprehensive facilities for teaching, research and patient-care. As provided in the Act, AIIMS conducts teaching programs in medical and para-medical courses both at undergraduate and postgraduate levels and awards its own degrees. Teaching and research are conducted in 42 disciplines. In the field of medical research AIIMS is the lead, having more than 600 research publications by its faculty and researchers in a year. AIIMS also runs a College of Nursing and trains students for B.Sc.(Hons.) Nursing post-certificate) degrees. Twenty-five clinical departments including four super specialty centers manage practically all types of disease conditions with support from pre- and Para-clinical departments. However, burn cases, dog-bite cases and patients suffering from infectious diseases are not entertained in the AIIMS Hospital. AIIMS also manages a 60-beded hospital in the Comprehensive Rural Health Centre at Ballabgarh in Haryana and provides health cover to about 2.5 lakh population through the Centre for Community Medicine. All-India Institute of Medical Sciences was established as an institution of national importance by an Act of Parliament with the objects to develop patterns of teaching in Undergraduate and Post-graduate Medical Education in all its branches so as to demonstrate a high standard of Medical Education in India; to bring together in one place educational facilities of the highest order for the training of personnel in all important branches of health activity; and to attain self-sufficiency in Post-graduate Medical Education. The Institute has comprehensive facilities for teaching, research and patient-care. As provided in the Act, AIIMS conducts teaching programs in medical and para-medical courses both at undergraduate and postgraduate levels and awards its own degrees. Teaching and research are conducted in 42 disciplines. In the field of medical research AIIMS is the lead, having more than 600 research publications by its faculty and researchers in a year. AIIMS also runs a College of Nursing and trains students for B.Sc.(Hons.) Nursing post-certificate) degrees. Twenty-five clinical departments including four super specialty centers manage practically all types of disease conditions with support from pre- and Para-clinical departments. However, burn cases, dog-bite cases and patients suffering from infectious diseases are not entertained in the AIIMS Hospital. AIIMS also manages a 60-beded hospital in the Comprehensive Rural Health Centre at Ballabgarh in Haryana and provides health cover to about 2.5 lakh population through the Centre for Community Medicine.

AI in clinical practice

09:04 - 09:20

LLM to LMM: The promise of multimodal data and AI

Professor Anurag Agrawal is Dean, BioSciences and Health Research, Trivedi School of Biosciences, Ashoka University, India, and former director of the Institute of Genomics and Integrative Biology, a national laboratory of CSIR, India. After completing graduate medical education at the All India Institute of Medical Sciences, Delhi, he further trained in Internal Medicine, Pulmonary Disease and Critical Care at Baylor College of Medicine, Houston, USA, followed by a PhD in Physiology from Delhi University. His primary research is in respiratory biology and broader interests are in a new vision of health and healthcare seen through the lenses of emerging technologies. He serves on numerous national and global advisory groups, most recently chairing the World Health Organization technical advisory group for viral evolution. He received the Shanti Swaroop Bhatnagar Prize in 2014, the Sun Pharma Foundation award in 2020, and is a fellow of the Indian national science academies.

09:20 - 09:34

Understanding AI, the intersection of data science and clinical dermatology

Dr Tony Caccetta is the Medical Director at Perth Dermatology Clinic. He is a Specialist Dermatologist and Fellow of the Australasian College of Dermatologists. He graduated with honours from the University of Western Australia with a Bachelor of Medicine and Bachelor of Surgery (MBBS) in 2005. After successful selection in the highly competitive Australasian College of Dermatologists (ACD) national dermatology training program, he completed his specialist training and examinations to be awarded Fellowship of the Australasian College of Dermatologists (FACD) in 2012. Dr Caccetta is an experienced procedural dermatologist and has worked as a specialist dermatologist in public and private practice since 2013. He is the Medical Director of Perth Dermatology and is a past Western Australian 40 under 40 award recipient. He serves on various boards and committees in the healthcare sector and was past Chair of the WA Faculty of Dermatology. His fields of interest are melanoma surveillance, total body photography, reconstructive surgery, hyperhidrosis and artificial intelligence. Dr Caccetta provides the following clinical services: Melanoma diagnostic and surveillance services for high risk cancer patients, including enhanced digital imaging surveillance. Surgical day procedures for the removal and reconstruction of skin cancer and melanoma, including urgent patient access. Botulinum toxin treatment for localised axillary hyperhidrosis (excessive underarm sweating) and also compensatory hyperhidrosis management. Narrowband UVB Phototherapy (whole body and hand /foot) for psoriasis, atopic dermatitis and other dermatological conditions. Biologic treatments for severe chronic plaque psoriasis and atopic dermatitis. Rural dermatology services for The Wheatbelt Region (Northam Hospital).

09:34 - 09:54

A study on consistent evaluation method of UV SPF index via deep learning

Sangwook Yoo, EVP of Lululab, developed medical image analysis algorithms at Samsung Electronics' healthcare division after receiving a PhD in computer science from KAIST. Later, he developed an AI-based skin analysis solution, called the Lumini, at Samsung Electronics' Creative Lab (C-Lab). While conducting machine learning-based medical image analysis research, he became aware of the relatively easy collection and availability of skin data. This realization led him to co-found a C-Lab spin-off company of Samsung Electronics in 2017. He continues to upgrade Lumini's artificial intelligence technology.

09:55 - 10:15

AI in sexual health

AI & Pen*s/Sexual Health | CEO HeHealth, Consultant Physician (EM), On a mission to impact one billion lives in the next 5 years, Developing AI-driven diagnostic tests and AI agents for often unspoken diseases

10:15 - 10:34

AI in inflammatory dermatoses: role and application

Clin Assoc Prof Mark Koh is a dermatologist, paediatric dermatologist and dermatopathologist. He is head and senior consultant of Dermatology Service, KK Women’s & Children’s Hospital (KKH)

10:34 - 10:51

Wearable tech in dermatology-current applications and prospects

With over five years of experience as a dermatologist and a healthcare consultant, I specialize in translational research in medical sciences specifically skin and hair biology. I am passionate about improving skin health and well-being for people across the world, especially those who face health inequities and lack access to quality care. As a healthcare consultant focussed on teledermatological Initiatives, I leverage my expertise in digital health, medical writing, and biostatistics to design and implement innovative solutions for remote diagnosis, treatment, and education of skin diseases. I also collaborate with multidisciplinary teams and partners to conduct research, advocacy, and capacity-building for neglected tropical diseases and other skin health challenges. My goal is to use my skills and knowledge to make a positive difference in the lives of millions of people who suffer from skin conditions.

Generative AI

10:51 - 11:10

LLM: Evolution and Influence

Mansak Shishak MD

11:11 - 11:27

Redteaming LLM in dermatology

Haiwen is interested in developing techniques to further enhance the understanding of explainability studies on multi-data format fusion models.

Imaging AI

11:28 - 11:49

An update on medical imaging database

Paola Pasquali MD is a dermatologist and specialist in skin cancer and non-invasive diagnosis techniques. In the public sector, she coordinates the Dermatology Service at Pius Hospital de Valls. She is an internationally renowned expert in the field of cryosurgery and has been a guest speaker at conferences in over 40 countries. She is the editor of two books—Skin Cancer, A Practical Approach (Springer, NYC 2013) and Cryosurgery. A Practical Manual (Springer, Germany 2014)—and has written more than 30 chapters of books and over 40 articles on this branch of dermatology. In the field of teledermatology, Dr. Pasquali created a successful program in the Tarragona region and is the current (2016-18) President of the International Society of Teledermatology (IST) as well as being a member of the International Affairs Committee of the American Academy of Dermatology (AAD), a member of the PR & Media Committee of the European Academy of Dermatology and Venereology (EADV) and a founding member of the E-Dermatology and Imaging Group (GEDEI) of the AEDV, ultrasound spokesperson.

11:49 - 12:10

Revolutionizing dermatology: Unveiling the potential of AI in non-invasive skin imaging

I am a research pathologist specializing in optical imaging techniques (i.e., in vivo/ex vivo microscopy), which are being explored in a research setting for non-invasive diagnosis of disease. I use my in-depth knowledge of histopathology, as well as my expertise in reading optical images, to analyze and validate findings. My career goal is to bring optical imaging from the bench to bedside, allowing for rapid real-time diagnosis that will improve clinical management and outcome for patients. Read more I am actively involved with confocal microscopy (CM), an optical imaging tool that has the ability to guide the diagnosis of melanocytic and non-melanocytic skin lesions, especially basal cell carcinoma (BCC), and has demonstrated impact on patient care. I am involved in a multicenter study to test the sensitivity and specificity for detection of BCC in surgically excised tissue, with the aim of validating confocal imaging in freshly excised ex vivo tissue as a means for guiding Mohs surgery. I am also working with a team of engineers and computational analysts to develop reliable parameters for computer-aided diagnosis to create mathematical models for quantitative analysis of confocal images of skin for in vivo diagnosis. Before joining MSK, I was a research pathologist in the departments of urology and surgical pathology at Weill Cornell Medical College, where I worked with other optical imaging techniques such as multiphoton microscopy and full-field optical coherence tomography. I have published many peer-reviewed articles in reputed journals and also co-authored two book chapters and presented my work at multiple national and international meetings. I am currently creating atlases on optical imaging to educate clinicians, surgeons, and pathologists on integrating optical imaging tools into routine diagnostic workflow.

12:11 - 12:30

AI/ML visual systems in the classification of skin conditions

Jeremy Kuwahara MD

12:31 - 12:49

The image based AI as a clinician's assistant in dermatology

Dr. Jiyeong Kim is a post-doctoral scholar at the Stanford Center for Digital Health and the Department of Dermatology School of Medicine. Dr. Kim is a computational epidemiologist, harnessing patient-and caregiver-generated health information and data to design patient-centered health interventions, which could be tailored to each patient group for improving patient engagement and better health outcomes. In her work, Dr. Kim uses artificial intelligence, machine learning, and natural language processing to understand patients' and caregivers' genuine voices of care needs and needed support. As a multidisciplinary epidemiologist, Dr. Kim's work focuses on translational health data science, embracing the intersection of mental health and digital health and expanding to patient-provider communications and health disparities among cancer survivors and caregivers of individuals with chronic conditions (e.g., Alzheimer's Disease and Related Dementia).

Teledermatology: Narrowing the gap

12:49 - 13:09

AI tech in public health policy

Dr. Art Papier, CEO of VisualDx and associate professor of dermatology at the University of Rochester in New York

13:10 - 13:29

Human-AI interaction in skin cancer diagnosis: an example from teledermoscopy set

Isabelle Krakowski, MD is a Research Affiliate at the Center for Digital Health and Department of Dermatology at Stanford University working with the Linos Lab (Professor Eleni Linos). She is a PhD candidate at Karolinska Institutet, where she also obtained her medical degree. She is a fourth-year resident in dermatology at the Karolinska University Hospital. Her current research is focusing on cutaneous melanoma and artificial intelligence.

13:30 - 13:52

AI in dermatology smartphone applications

Dermatology Resident | PhD Candidate at Leiden University Medical Centre | LUMC · Department of Dermatology, Hollande Méridionale, Pays-Bas

Digital Health and Ethics

13:52 - 14:12

Bottlenecks in AI applications in dermatology

14:13 - 14:32

Pittfalls in AI

Dr. Daneshjou received her undergraduate degree at Rice University in Bioengineering, where she was recognized as a Goldwater Scholar for her research. She completed her MD/PhD at Stanford, where she worked in the lab of Dr. Russ Altman. During this time, she was a Howard Hughes Medical Institute Medical Scholar and a Paul and Daisy Soros Fellowship for New Americans Fellow. She completed dermatology residency at Stanford in the research track and now practices dermatology as a Clinical Scholar in Stanford’s Department of Dermatology while also conducting artificial intelligence research with Dr. James Zou as a postdoc in Biomedical Data Science.

14:33 - 14:52

Synthetic data in dermatology: Lack of data is not the limitation anymore

14:53 - 15:18

Decision making and AI

Dr. Alan Barnard is one of the world’s leading Decision Scientist and Theory of Constraints’ experts. Alan, a serial entrepreneur, is the Founder and CEO of Goldratt Research Labs, a company he co-founded in 2008 together with Dr. Eli Goldratt, creator of Theory of Constraints. There was an immediate connection between Alan and Eli after their first meeting in 1993. Alan and Eli were both curious about understanding why good people make and often repeat bad decisions within their life and in managing organizations. They were also both passionate about applying a robust scientific approach to developing new Thinking & Decision making methods and advanced Technologies to help people make better, faster decisions – decisions that move them closer to their goals. Today, Alan works as a Strategy advisor, Researcher and Theory of Constraint (TOC) expert and educator, with both Fortune 500 companies as well as NGO’s and Government Agencies. His clients include Microsoft, Cargill, Tata Steel, Nike, ABB, BHP, Cisco, South32, SAP, Intel, Penguin Random House, BC Rail, Larsen & Toubro, Premier Foods, Fujitsu, Habitat for Humanity, UNDP, UNWFP and Utah Governor’s Office of Management and Budget. Alan holds a B.Sc. in Industrial Engineering (Cum Laude, 1991) and MsC and PhD in Management of Technology & Innovation (MOTI). His PhD thesis was titled “How to identify and unlock inherent potential within organizations (private & public) and individuals?” Alan is very active in a number of Non-Profit Professional Organizations and Universities within his fields of interest. Alan is the former President of SAPICS (www.sapics.org), and former chairman of TOCICO (www.tocico.org). Alan is also the Chairman of Odyssey Institute (www.tocoydssey.org), a Non-Profit organization he co-founded with Dr. Eli Goldratt in 2005. Alan also serves as board member of BHP’s Science and Innovation Council (www.bhp.com) and frequently serves as field supervisor of PhD students and guest lecturer at the DaVinci Institute and Duke University.

15:18 - 15:48

Dermatology Upside Down Imaging If

Dominique du Crest is driven by an entrepreneurial flame and passion on topics related skin. He has in-depth knowledge and renowned expertise and influence in dermatology, aesthetics and skincare, with a focus on how these areas relate to evolving technology and the skin business at large.

15:48 - 16:03

Befriending AI in Medicine

Oncoradiologist, Assistant Professor at AIIMS (All India Institute of Medical Sciences, New Delhi) As a radiologist and researcher in data science, my vision is to leverage the power of data science to make the practice of medicine more humane. My research has been focused on exploring how AI can help bring healthcare to underserved areas, and on the other hand hello facilitate doctor patient interaction to restore the human touch to healing.

Understanding AI tool development

16:04 - 16:23

Developing Dermatology AI models: Our reseach journey and enabling other researchers

Yun is a senior research scientist in Google Health. In this role he focuses on developing and validating machine learning for medical imaging across multiple fields: pathology, ophthalmology, radiology, and dermatology. Yun completed his PhD at Harvard-MIT Health Sciences and Technology, where he worked on predictive risk modeling using biomedical signals, medical text, and billing codes. He has previously also worked on predictive modeling for nucleic acid sequences and protein structures. Yun completed a B.S. in Molecular and Cellular Biology and Computer Science at Johns Hopkins University.

16:23 - 16:48

Usage of AI models in dermatology dataset creation

Siddharth Bhatt

16:49 - 17:03

Tool development for imaging in medicine

Dipayan Sengupta MD, MBBS

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