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AI-powered prediction of HCC recurrence after surgical resection: Personalised intervention opportunities using patient-specific risk factors.

Seid Miad ZandaviChristy KimThomas GoodwinCynthuja ThilakanathanMaryam BostanaraAnna Camille AkonDaniel Al MouieeSasha BarisicAmmar MajeedWilliam W KempFrancis ChuMarty SmithKate L CollinsVincent Wai-Sun WongGrace Lai-Hung WongJason BeharyStuart Keith RobertsKelvin Kwok-Chai NgFatemeh VafaeeAmany Zekry
Published in: Liver international : official journal of the International Association for the Study of the Liver (2024)
Our findings underscore the potential of AI-driven predictive models in facilitating personalised risk stratification and targeted interventions to mitigate HCC recurrence by identifying modifiable risk factors unique to each patient. This model aims to aid clinicians in devising strategies to disrupt the underlying carcinogenic network driving recurrence.
Keyphrases
  • risk factors
  • artificial intelligence
  • randomized controlled trial
  • free survival
  • palliative care
  • case report
  • cancer therapy
  • machine learning
  • risk assessment