[{"data":1,"prerenderedAt":978},["ShallowReactive",2],{"project-45157020":3},{"id":4,"name":5,"line":6,"line_source":7,"title":8,"url":9,"domain":10,"maker":11,"posted_at":12,"year":13,"points":14,"comments":15,"rank_in_year":16,"shown_in_year":17,"top":18,"tier":19,"category":20,"subcategory":21,"format":22,"keywords":23,"reception":28,"sentiment":29,"stance_mix":30,"scored_comments":35,"aspects":36,"strip":49,"post_text":52,"what":53,"said":102,"maker_in_thread":208,"shape":219,"grid":223,"attempts":941,"same_week":942,"maker_shows":38,"maker_hidden":970,"reader_version":971,"card":972},"45157020","molecheck","I'm a dermatologist and I vibe coded a skin cancer learning app","title","Show HN: I'm a dermatologist and I vibe coded a skin cancer learning app","https:\u002F\u002Fmolecheck.info\u002F","molecheck.info","sungam",1757241509,2025,429,259,103,3837,3,"legend","learning_science","medical education","web_app",[24,25,26,27],"skin cancer","melanoma detection","dermatology education","mole check","debated",0.046,{"positive":31,"neutral":32,"mixed":33,"critical":34},24,35,6,27,92,{"execution":37,"idea":40,"design":43,"docs":46,"performance":47,"privacy":48},{"positive":38,"critical":39},1,10,{"positive":41,"critical":42},12,7,{"positive":44,"critical":45},0,4,{"positive":44,"critical":38},{"positive":44,"critical":38},{"positive":38,"critical":44},[38,44,18,44,38,44,44,44,44,50,45,18,50,18,38,38,38,38,51,18,18,38,51,51,18,51,50,45,45,18,38,18,50,51,45,50,18,18,18,51],2,5,"Coded using Gemini Pro 2.5 (free version) in about 2-3 hours.\n\nSingle file including all html\u002Fjs\u002Fcss, Vanilla JS, no backend, scores persisted with localStorage.\n\nDeployed using ubuntu\u002Fapache2\u002Fpython\u002Fflask on a £5 Digital Ocean server (but could have been hosted on a static hosting provider as it's just a single page with no backend).\n\nImages \u002F metadata stored in an AWS S3 bucket.",{"problem":54,"audience":55,"pricing":54,"motivation":65,"time_to_build":70,"stack":78,"openness":99,"stage":100,"team_size":101},null,{"value":56,"source":57,"evidence":58},"Patients and non-experts learning to recognise skin cancer","maker",[59,62],{"id":60,"by":11,"text":61},"45159538","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…",{"id":63,"by":11,"text":64},"45158221","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…",{"value":66,"source":57,"evidence":67},"Patients kept asking for a way to learn what skin cancer looks like",[68,69],{"id":63,"by":11,"text":64},{"id":60,"by":11,"text":61},{"value":71,"source":57,"evidence":72},"About 2-3 hours using Gemini Pro 2.5",[73,75],{"id":74},"post",{"id":76,"by":11,"text":77},"45158065","Yes I think so - it's a very simple application but I would never have had the time to do it myself. If anyone is interested: Coded using Gemini Pro 2.5 (free version) in about…",[79,83,87,91,95],{"value":80,"source":57,"evidence":81},"Vanilla JavaScript",[82],{"id":74},{"value":84,"source":57,"evidence":85},"HTML\u002FCSS in a single file",[86],{"id":74},{"value":88,"source":57,"evidence":89},"Python Flask",[90],{"id":74},{"value":92,"source":57,"evidence":93},"Apache2 on Ubuntu",[94],{"id":74},{"value":96,"source":57,"evidence":97},"AWS S3 for images and metadata",[98],{"id":74},"unknown","launched","solo",{"praise":103,"objections":119,"requests":149,"questions":175,"alternatives":191},[104],{"value":105,"source":106,"evidence":107},"Useful for learning to spot skin cancer","commenter",[108,112,116],{"id":109,"by":110,"text":111},"45158078","DrewADesign","This is awesome. Great use of AI to realize an idea. Subject matter experts making educational tools is one of the most hopeful things to come out of AI. It’s just a bummer that…",{"id":113,"by":114,"text":115},"45159241","dhruvbird","This is awesome! After about 50 attempts, I have a much better sense of what to look out for when I see something. I wish there were more such focused apps. for specific specific…",{"id":117,"by":11,"text":118},"45161730","Thanks - I'm glad you found it useful! I have been meaning to make it for many years but could never justify the time involved until AI made it possible.",[120,135,142],{"value":121,"source":106,"evidence":122},"Image set is skewed toward skin cancers, not realistic proportions",[123,127,131],{"id":124,"by":125,"text":126},"45157933","jjallen","Very cool. I learned a lot as a non dermatologist but someone with a sister who has had melanoma at a very young age. I went from 50% to 85% very quickly. And that’s because most…",{"id":128,"by":129,"text":130},"45159105","lazarus01","What you created is a version of “am I hot or not” for skin cancer. The idea is constrained to the limitations of your programming capability. Showing a photo and creating 3…",{"id":132,"by":133,"text":134},"45159200","lvl155","Dude, everything is “I am concerned.”",{"value":136,"source":106,"evidence":137},"Missing guide link is broken and lacks diagnostic guidance",[138],{"id":139,"by":140,"text":141},"45158481","vindex10","Hi! That's really useful tool! I wish it also explained the decision making process, how to understand from the picture what is the right answer. I'm really getting lost between…",{"value":143,"source":106,"evidence":144},"Some cancerous images look benign and labels may be wrong",[145],{"id":146,"by":147,"text":148},"45159730","meindnoch","Is this really \"invasive melanoma\"? https:\u002F\u002Fdrmagnuslynch.s3.eu-west-2.amazonaws.com\u002Fisic-images\u002FISIC_0024270.jpg",[150,159,168],{"value":151,"source":57,"evidence":152},"Balance benign and malignant images 50:50",[153,156],{"id":154,"by":11,"text":155},"45157987","Thanks, this is a good point - I think a 50:50 balance of cancer versus harmless lesions would be better and will change this in a future version. Of course in reality the vast…",{"id":157,"by":11,"text":158},"45159873","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…",{"value":160,"source":57,"evidence":161},"Add explanation of how to diagnose and a guide article",[162,165],{"id":163,"by":11,"text":164},"45159338","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…",{"id":166,"by":11,"text":167},"45159606","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!",{"value":169,"source":106,"evidence":170},"Include lesion size or scale information",[171],{"id":172,"by":173,"text":174},"45158709","andreasgl","I like the project! Congrats on the launch. As I understand it, size is one of the key indicators of melanoma. But in some of these images, it’s difficult to tell whether the…",[176,183],{"value":177,"source":106,"evidence":178},"Is there a reputable AI model for detecting skin cancer?",[179],{"id":180,"by":181,"text":182},"45157999","toledocavani","Is there any reputable (reviewed, endorsed) AI model to detect skin cancer? I have a lot of similar moles, and playing with this app make me concern about all of them.",{"value":184,"source":106,"evidence":185},"How does the decision process work for telling melanoma from other lesions?",[186,187],{"id":139,"by":140,"text":141},{"id":188,"by":189,"text":190},"45158056","lukko","I'm a doctor too and would love to hear more about the rationale and process for creating this. It's quite interesting to have a binary distinction: 'concerned vs not concerned',…",[192,199],{"value":193,"source":106,"evidence":194},"Earlier skin cancer learning app built by another commenter",[195],{"id":196,"by":197,"text":198},"45161800","johannes_ne","I made a quite similar app 7 years ago. https:\u002F\u002Fmelanoma.jenevoldsen.com\u002F May have been in the training data.",{"value":200,"source":106,"evidence":201},"ChatGPT or general AI models for image diagnosis",[202,205],{"id":203,"by":11,"text":204},"45163479","Not tried but my guess is ChatGPT will be quite accurate but get a small proportion wrong. The challenge with skin cancer is that we cannot afford to miss even 1:10,000 cases",{"id":206,"by":11,"text":207},"45161267","Lots of models out there but I would not trust any for diagnosis without review of a dermatologist yet. The challenge is unanticipated edge cases and managing…",{"comments":209,"answered":210,"key":211},64,21,[212,215,216],{"id":213,"text":214},"45159302","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.",{"id":154,"text":155},{"id":217,"text":218},"45161684","It is randomized so probably just bad luck! FWIW I get a high score and another skin cancer doctor who commented also gets a high score so it is possible to make the diagnosis 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