Public articles linked to the same research event.
Zhonghua er bi yan hou tou jing wai ke za zhi = Chinese journal of otorhinolaryngology head and neck surgery This article systematically reviews the current applications, main problems, and future directions of medical AI image technology in the precision diagnosis and treatment of head and neck tumors, noting that the technology enables precise quantification of imaging features and opens new paths for early identification, efficacy evaluation, and prognosis prediction, while still facing challenges such as insufficient data standardization, limited model generalization, poor interpretability, and insufficient clinical translation.
This article systematically reviews the current applications, main problems, and future directions of medical AI image technology in the precision diagnosis and treatment of head and neck tumors, noting that the technology enables precise quantification of imaging features and opens new paths for early identification, efficacy evaluation, and prognosis prediction, while still facing challenges such as insufficient data standardization, limited model generalization, poor interpretability, and insufficient clinical translation.
This article systematically reviews the current applications, main problems, and future directions of medical AI image technology in the precision diagnosis and treatment of head and neck tumors, noting that the technology enables precise quantification of imaging features and opens new paths for early identification, efficacy evaluation, and prognosis prediction, while still facing challenges such as insufficient data standardization, limited model generalization, poor interpretability, and insufficient clinical translation.
This article systematically reviews the current applications, main problems, and future directions of medical AI image technology in the precision diagnosis and treatment of head and neck tumors, noting that the technology enables precise quantification of imaging features and opens new paths for early identification, efficacy evaluation, and prognosis prediction, while still facing challenges such as insufficient data standardization, limited model generalization, poor interpretability, and insufficient clinical translation.