sungam

6 ms·

31.
by sungam 1y ago
Thanks for highlighting - I wasn't expecting anyone to use the app so haven't added these yet but will do so asap The app is hosted on my Digital Ocean server that hosts a few other projects including my Revessa Health site
32.
by sungam 1y ago
No dependencies - single page app with no backend including all html/css/js
33.
by sungam 1y ago
Good observations! But hopefully you learned something in coming to those conclusion... The chance of a random skin lesion being skin cancer is extremely low. Apart from the appearance key things to look for are a lesion that is not going a
34.
by sungam 1y ago
Thanks - I wasn't expecting anyone to use the app apart from perhaps a few patients and definitely didn't expect #2 spot on HN Will add asap but currently focused on answering questions! Fortunately my £5 Digital Ocean server is c
35.
by sungam 1y ago
Thanks, I will try to source alternative images for the next version
36.
by sungam 1y ago
Perhaps should add a NSFE tag...
37.
by sungam 1y ago
Had not heard of that term before, but looking at the article I would agree!
38.
by sungam 1y ago
According to the metadata supplied with the dataset yes Could definitely be a misclassification, however a small proportion of moles that look entirely harmless to the naked eye and under the dermatoscope (skin microscope) can be cancerous.
39.
by sungam 1y ago
Yes you are right - the representation is biased due to the image dataset that I have used. I don't think it would be useful to match the population distribution since the fraction of skin cancers would be tiny (less than 1:1000 of the
40.
by sungam 1y ago
The representation is skewed towards skin cancers at this time due to the image dataset I have used. In a future version I will make it 50:50
41.
by sungam 1y ago
Thanks for your comment - my practice is focused on skin cancer and I see so many patients that bring a photo from many months earlier that shows an obvious skin cancer that could have been treated more easily at an earlier stage. Patient e
42.
by sungam 1y ago
Why wouldn't it be? The images are publicly available and have creative commons license.
43.
by sungam 1y ago
You are right - the distribution is not equal largely because the dataset that I used had less pictures of harmless moles but I will aim to make it 50:50 in the next version
44.
by sungam 1y ago
Yes I need to add this along with a tutorial on skin cancer diagnosis. Honestly wasn't expecting anyone to use the app so just did the basics!
45.
by sungam 1y ago
Haha I think will need more than just an app! But in all seriousness, the potential for applying modern AI techniques to DNA and protein sequence analysis, structural analysis and regulatory network modeling is immense and we have only scra
46.
by sungam 1y ago
I will have a look at this and include the size if it is possible
47.
by sungam 1y ago
Thanks for your comment - I'm pleased that people have found it useful and definitely only possible because of AI coding. I agree that this is likely to be applicable to non-experts in many different areas.
48.
by sungam 1y ago
Thanks, I'm really pleased that people have found it useful! Wasn't expecting much from the app just coded it in an evening as it's something I've been thinking about for years
49.
by sungam 1y ago
Thanks for your comment. The main motivation for me in developing the app was that lots of my patients wanted me to guide them to a resource that can help them improve their ability to recognise skin cancer and, in my view, a good way to le
50.
by sungam 1y ago
Coded using Gemini Pro 2.5 (free version) in about 2-3 hours. Single file including all html/js/css, Vanilla JS, no backend, scores persisted with localStorage. Deployed using ubuntu/apache2/python/flask on a £5 Dig
51.
by sungam 1y ago
Haha not all of them - but actually this is an important observation because when training convnets for skin cancer diagnosis the presence of the pen marking can be an important confounding factor that needs to be accounted for
52.
by sungam 1y ago
This is very helpful feedback. I will add some more information to help with the diagnosis and add an article in the burger menu with detailed explanation. Being honest I didn't expect anyone apart from a few of may patients to use the
53.
by sungam 1y ago
Thanks, I am not currently doing research in this area - my lab-based research is mainly focused on the role of fibroblasts in skin cancer development
54.
by sungam 1y ago
Great idea! Will aim to add to the next version
55.
by sungam 1y ago
Yes I agree - I could probably have worked out how to do it myself but it would have taken weeks and realistically I would never have had the time to finish it.
56.
by sungam 1y ago
Thanks, I am pleased you found it useful. This is exactly how a dermatologist learns to recognise skin cancer - by making decisions and then getting feedback. I think anyone can improve dramatically with an hour or so of practice and then t
57.
by sungam 1y ago
The goal of my app is to educate patients so that they recognise that they need to take further action. Regarding AI-assisted skin cancer diagnosis: This is a huge area that started with the publication of Esteva et al ( https://w
58.
by sungam 1y ago
Thanks, I'm glad you found it useful. My patients were constantly asking for a way to learn what skin cancer looked like beyond the ABCDE rule and I wanted to try and introduce a gamification aspect to it.
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by sungam 1y ago
Yes, without AI this app definitely would not exist as I would not have had time to make it. I think that this will apply to multiple other areas within the economy.
60.
by sungam 1y ago
It can be challenging but the large majority of skin cancers are fairly obvious and the main reason people don't spot them is because they are not checking their skin regularly and don't have any idea what to look for. Hopefully t

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