Explore the potential and challenges of artificial intelligence in dermatology through this insightful lecture by Dr. Roxana Daneshjou from Stanford University. Delve into the promising applications of AI in diagnosing skin diseases, while critically examining the pitfalls such as biased datasets and algorithms. Learn about the importance of developing equitable AI systems to prevent exacerbating existing health disparities. Discover how AI can streamline healthcare processes in dermatology when fairness is prioritized. Gain valuable insights into diverse dataset creation, fair algorithm development, and their applications in precision medicine. Engage with topics including bias in data collection, labeling challenges, skin cancer and skin tone classification, and the need for diverse dermatology images. Understand the significance of data accuracy, consensus labeling, and finetuning in AI models. Examine the impact of dataset biases, FDA regulations, and the differences between prospective and retrospective data in medical AI development.
Overview
Syllabus
Introduction
Why I became interested in MedAI
Problems with MedAI
Bias Data
Datasets
Labelling
Skin cancer classification
Skin tone classification
Diverse Dermatology Images
Data Accuracy
Consensus Labeling
Finetuning
Data biases
Dataset
FDA
Prospect vs retrospective data
Bias in dermatology education
AI in dermatology
Questions
Taught by
Stanford MedAI
Tags
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Reviews
4.6 rating, based on 14 Class Central reviews
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"I greatly benefited from the dermatology course I attended. The course was comprehensive and covered a wide range of topics related to the diagnosis and treatment of various skin conditions. The instructors were experts in their field and provided valuable and up-to-date information. The practical applications and case studies presented helped improve my clinical skills and enhanced my understanding of both common and complex dermatological diseases. I highly recommend this course to any physician looking to enhance their knowledge and skills in dermatology."
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The cme was extremely helpful and it opened a whole new field in dermatology which might get a world wide acceptance in the future upcoming years. I am definitely gonna take this knowledge further in my practice and pass on the knowledge I gained in this cme to many more beneficial seeking help in dermatology. Overall experience was amazing and too good
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it was quit good very informative but a lil too long or we can say it was dragged but skin cancer diagnosis was a bit informative
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Informative course on the role of AI in Dermatology, it’s pitfalls where there’s a bias in databases because of not taking fitzpatrick 5 or 6 that much into account. But overall AI expected to play a role in screening purposes especially for skin malignancy.
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good course it's very useful for me and also to other students.
thank you for this course in free of cost..
it's leads to favor the students from poor background -
Beatriz Arely Cayón FigueroaI've been eagerly searching for a course that combines my interests in AI and dermatology. Thank you for delivering such a thorough and insightful seminar. -
It was an interesting & overall learning session on how AI acts. Modern technology comes with its cons & pros.
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Poonam Guptaexcellent with deep knowledge helps in better understanding in use of AI Tool in dermatology modern days necessity -
Hi ! I am goutam ch ojha from india, i am practicing in dermatology from long day ,
Now I learn and see this dermatological videos, speech really this is very knowledgeable and valuable .. so, it is very nice and good course for candidates,
Stamford medicine dept. Is really reputated and very welfare dept. ..
Thanks -
Very good course and very engaging, had a lot of interesting points and opinions with a good analysis of the topic. the host of the course was very clear in her explanation and made understanding the topic in simplicity and ease.
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The course highlight the new emerging field in dermatology that is artificial dermatology. This course is really helpful in knowing the future of dermatology.
A.I makes the diagnosis easy. -
Irina AulianisaI've been eagerly searching for a course that combines my interests in AI and dermatology. Thank you for delivering such a thorough and insightful seminar. -
"Thoroughly examined AI's role in dermatology, highlighting both promises and potential pitfalls. Impressive!"
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Very helpful course, keeping the healthcare workers updated recently with new Artificial Intelligence.
