Emerging Topics in Cancer Medicine: Focusing on Artificial Intelligence – Prof. Yun YEN

Emerging Topics in Cancer Medicine: Focusing on Artificial Intelligence – Prof. Yun YEN

Publication date: Jan 03, 2019

Precision medicine has started to deliver positive improvements on health care delivery, patient care,

drug discovery, and preventive interventions. Notably, the incorporation of genomic, proteomic,

pharmacogenomic, molecular, and patient lifestyle data into clinical medicine promises to improve

our ability tailor medical treatment according to the individual characteristics of each patient.

Artificial intelligence (AI), or the use of computer algorithms to analyze, learn from, and predict

outcomes from medical data, has become an emerging tool to help physicians and scientists

translate big data to better patient outcomes and targeted care. However, despite these promising

opportunities for healthcare, AI also raises ethical, legal and policy challenges for all stakeholders of

the healthcare ecosystem. In particular, the prospect of using AI in our current Precision Medicine era

requires careful and continuous evaluation of how professionals, providers, organizations, and

industries integrate machine learning with clinical practice, data sharing, medical education, and

health systems. We explore several avenues where AI can advance medical diagnosis, performance,

and discovery as well as examine the major challenges that AI brings with its implementation in

science and health care.



Please signin to view all article content and metadata.


Leave a Comment

Your email address will not be published. Required fields are marked *