Dr. Yuchae Jung introduced the concept of P-MATCH or Precision Machine Learning AssisTed Clinical Trial Eligibility Assessment using Hospital Records at the 5^th Joint Conference on Medical Device between Seoul National University Colleges of Medicine and Engineering and Seoul National University Hospital on November 3, 2017. The title of her talk was 'Application of Artificial Intelligence Technology for Efficient Clinical Trials'. Dr. Jung underlined why artificial intelligence, mainly deep machine learning, can and should be adopted to bring more efficiency to clinical trials, particularly for precise patient enrollment, which allows for patients who are likely to respond to a treatment under testing to have a bigger chance of enrollment. This will also make clinical trials more productive and error-free, Dr. Jung added, because all of the eligibility assessment procedures are algorithm-based using the electronic medical record (EMR). 

Dr. Jung's talk was well received, and there were a couple of questions as to what could make P-MATCH different from other approaches such as the IBM Watson for Oncology. Dr. Jung replied that the biggest difference is P-MATCH's natural language processing capability of more than one language (i.e., Korean and English), which often are used in EMR in a haphazard and inconsistent manner. 

For anyone who wants to learn more about Dr. Jung's presentation, please contact her.