Development of an Electronic Health Record–Based Algorithm for Predicting Lung Cancer Screening Eligibility in the Population-Based Research to Optimize the Screening Process Lung Research Consortium ...

We developed precompiled lexicons and classification rules as features for the following ML classifiers: logistic regression, random forest, and support vector machines (SVMs). These features were ...

What if a computer could read a patient's medical notes and help doctors determine important information for their treatments? At MUSC Hollings Cancer Center, researchers led by Jihad Obeid, M.D., and ...

Treatment of non–muscle-invasive bladder cancer (NMIBC) is guided by risk stratification using clinical and pathologic criteria. This study aimed to develop a natural language processing (NLP) model ...

In the scope of this paper, a paradigm is a general modeling framework or a distinct set of methodologies to solve a class of tasks. For instance, sequence labeling is a mainstream paradigm for named ...

In a recent article published in Translational Psychiatry, researchers performed a systemic review and meta-analysis of scientific papers using an artificial intelligence (AI)-based tool that uses ...

AI is a rapidly evolving field that has the potential to impact almost all aspects of life and society. In this article, AI refers to all levels of artificial intelligence, including Narrow AI, ...

NLP AI evolves, integrating into devices like smartphones; its applications also expand. Advanced NLP models such as GPT-3 can perform tasks nearly indistinguishable from humans. Investors should ...

Start working toward program admission and requirements right away. Work you complete in the non-credit experience will transfer to the for-credit experience when you ...

Are you intrigued by the fascinating realm of human-computer interaction? Perhaps, you’ve found yourself wondering how technologies like Siri or Alexa understand your speech and respond almost like a ...