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Ask HN: Why are there no public AI skin cancer detection models

Apr 10, 2024 - news.ycombinator.com
The article discusses the potential consequences of false negatives and positives in AI models, specifically in the context of diagnosing skin cancer. False negatives could lead to delayed medical attention and potentially fatal outcomes, while false positives could cause unnecessary stress and financial burden for the user. Both scenarios could result in legal action against the model creator.

The article also highlights the skepticism from doctors towards AI models, emphasizing the need for collaboration between medical professionals and AI for successful adoption. The author questions the accuracy, false positives, and false negatives of an AI model alone, a doctor alone, and a doctor equipped with an AI helper model.

Key takeaways:

  • The article highlights the potential dangers of false negatives in AI models, such as missing a diagnosis of skin cancer, which could lead to serious consequences like death and legal action against the model creator.
  • It also discusses the issue of false positives, where the model incorrectly identifies a benign condition as serious, causing unnecessary stress and financial burden on the user.
  • The article emphasizes the skepticism and resistance from doctors towards AI models, due to their belief that engineers lack the necessary medical expertise.
  • The article raises the question of the accuracy, false positives and false negatives of an AI model alone, a doctor alone, and a doctor using an AI model as an assistant.
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