Artificial intelligence in psoriasis: Where we are and where we are going.

Journal: Experimental dermatology
PMID:

Abstract

Artificial intelligence (AI) is a field of computer science that involves the development of programs designed to replicate human cognitive processes and the analysis of complex data. In dermatology, which is predominantly a visual-based diagnostic field, AI has become increasingly important in improving professional processes, particularly in the diagnosis of psoriasis. In this review, we summarized current AI applications in psoriasis: (i) diagnosis, including identification, classification, lesion segmentation, lesion severity and area scoring; (ii) treatment, including prediction treatment efficiency and prediction candidate drugs; (iii) management, including e-health and preventive medicine. Key challenges and future aspects of AI in psoriasis were also discussed, in hope of providing potential directions for future studies.

Authors

  • Zhenhua Liu
    National R & D Center for Edible Fungus Processing Technology, Henan University, Kaifeng 475004, China.
  • Xinyu Wang
    Department of Endocrinology, Institute of Translational Medicine, Health Science Center, The First Affiliated Hospital of Shenzhen University, Shenzhen Second People's Hospital, Shenzhen, Guangdong, China.
  • Yao Ma
    Student Brigade of Basic Medicine School, Fourth Military Medical University, Xi'an, China.
  • Yiting Lin
    Department of Dermatology, Tangdu Hospital, Fourth Military Medical University, Xi'an, China.
  • Gang Wang
    National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China.