Sascha M Keij, Anne M Stiggelbout, Arwen H Pieterse
Patient readiness for shared decision making about treatment: Conceptualisation and development of the ReadySDM
Health expectations : an international journal of public participation in health care and health policy
colorectal carcinoma prevalent deadly malignancy necessitates precise histopathological assessment effective diagnosis prognosis artificial intelligence ai emerges transformative force realm offering innovative solutions enhance traditional histopathological methods narrative review explores ais pioneering role colorectal carcinoma histopathology encompassing evolution techniques advancements ai algorithms notably machine learning deep learning revolutionized image analysis facilitating accurate diagnosis prognosis prediction furthermore aidriven histopathological analysis unveils potential biomarkers therapeutic targets heralding personalized treatment approaches despite promise challenges persist including data quality interpretability integration collaborative efforts among researchers clinicians ai developers imperative surmount hurdles realize ais full potential colorectal carcinoma care review underscores ais transformative impact implications future oncology research clinical practice interdisciplinary collaboration