Can a single AI scan predict an individual's odds of developing lung cancer in the future?

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  • Yes, AI can improve risk prediction and reveal an individual's cancer risk 38.64% 17 votes
    null nullShubham Pandharetaimurkhan148250appuser-ae59null nullRahul Swamiajayioluwatoyin1Ebenezer Mensah Turkson+ 9 more
  • Perhaps early cancer can be discovered before symptoms show up 29.55% 13 votes
    cathyhatchertinaidaswatishinde3316engylouise20null nullfreddyawyasirabubakar25Amjad Ali+ 5 more
  • No, a single scan cannot deliver specifics about the future risk of cancer 31.82% 14 votes
    Rick Kulkarnihafsakhalid863Sebastian Campeanukongo2286ademola.niniolaMaryann EclipseyamemahmoudJasmine Thomas+ 6 more
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    • #38315
      Seema Waghmareswaghmare
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      Researchers have been exploring ways to improve outcomes along the screening continuum, such as utilizing clinical prediction modeling and harnessing the power of the electronic medical record and radiomics. The recently developed Sybil artificial intelligence and deep learning model is a vital first step toward a precise approach to lung cancer screening.
      It can predict an individual’s future risk of developing lung cancer after a single baseline computed tomography chest scan. This model may improve adherence to follow-up, reduce unnecessary workup and invasive tests, and extend the period between screenings or stop screening altogether in those at low risk of cancer. Additionally, the model could identify at-risk populations that do not meet US Preventative Services Task Force requirements for inclusion in a screening program with the help of future prospective evaluations. This data could aid shared decision-making visits for patients with a high comorbidity load and a short life expectancy.
      https://ascopubs.org/doi/full/10.1200/JCO.22.02885

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      null nullrockysir86
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