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OBJECTIVES Machine learning (ML) has experienced a revolutionary decade with
advances across many disciplines. We seek to understand how recent advances in ML are …

Background: Machine learning reflects an artificial intelligence that allows applications to
improve their accuracy to predict outcomes, eliminating the need to conduct explicit …

Background This review article provides an overview of artificial intelligence (AI) and
machine learning (ML) as it relates to cardiovascular health care. Methods An overview of …

Mini-abstract The study introduces various methods of performing conventional ML and their
implementation in surgical areas, and the need to move beyond these traditional …

BACKGROUND The integration of artificial intelligence (AI) and natural language
processing (NLP) into medical practice is rapidly accelerating, opening new avenues for …

Machine learning (ML) is a machine's ability to improve its performance based on previous
results. The founding principle of ML was developed through computing and fast digital …

OBJECTIVES Machine learning (ML) has great potential, but there are few examples of its
implementation improving outcomes. The thoracic surgeon must be aware of pertinent ML …

Abstract Machine learning and artificial intelligence (AI) have arrived in medicine and the
healthcare community is experiencing significant growth in their adoption across numerous …

Objective The aim of this article is to review the current applications of artificial intelligence in
thoracic surgery, from diagnosis and pulmonary disease management, to preoperative risk …