Kazeem Adefemi, John C Knight, Yun Zhu, Peter Peizhong Wang
Racial and sociodemographic distribution of colorectal cancer screening in Canada: A cross-sectional study
Canadian journal of public health = Revue canadienne de sante publique
artificial intelligence ai revolutionized management nonsmallcell lung cancer nsclc enhancing different aspects including staging prognosis assessment treatment prediction response evaluation recurrenceprognosis prediction personalized prognostic assessment ai algorithms may accurately classify nsclc stages using machine learning techniques deep imaging data analysis could potentially improve precision efficiency staging facilitating personalized treatment decisions furthermore data suggesting potential application aibased models predicting prognosis terms survival rates disease progression integrating clinical imaging molecular data present narrative review analyze preliminary studies reporting ai algorithms could predict responses various treatment modalities surgery radiotherapy chemotherapy targeted therapy immunotherapy robust evidence suggesting ai also plays crucial role predicting likelihood tumor recurrence surgery pattern failure significant implications tailoring adjuvant treatments successful implementation ai personalized prognostic assessment requires integration different data sources including clinical molecular imaging data machine learning ml deep learning dl techniques enable ai models analyze data generate personalized prognostic predictions allowing precise individualized approach patient care however challenges relating data quality interpretability ability ai models generalize need addressed collaboration among clinicians data scientists regulators critical responsible implementation ai maximizing benefits providing personalized prognostic assessment continued research validation collaboration essential fully exploit potential ai nsclc management improve patient outcomes herein summarized state art applications ai lung cancer predicting staging prognosis pattern recurrence treatment order provide readers large comprehensive overview challenging issue