Rima R Habib, Safa Hojeij, Kareem Elzein, Jad Chaaban, Karin Seyfert
Associations between life conditions and multi-morbidity in marginalized populations: the case of Palestinian refugees
European journal of public health
skin cancer mortality rates continue rise survival analysis increasingly needed understand risk interventions improve outcomes however current statistical methods limited inability synthesize multiple data types patient genetics clinical history demographics pathology reveal significant multimodal relationships predictive algorithms advances computing power data science enabled rise artificial intelligence ai synthesizes vast amounts data applies algorithms enable personalized diagnostic approaches analyze ai methods used skin cancer survival analysis focusing supervised learning unsupervised learning deep learning natural language processing illustrate strengths weaknesses approaches examples pubmed search yielded 14 publications meeting inclusion criteria scoping review publications focused melanoma particularly histopathologic interpretation deep learning concentration single type skin cancer amid increasing focus deep learning highlight growing areas innovation however also demonstrates opportunity additional analysis addresses types cutaneous malignancies expands scope prognostication combine genetic histopathologic clinical data moreover researchers may leverage multiple ai methods enhanced benefit analyses expanding ai arena may enable improved survival analysis targeted treatments outcomes