Since Alan Turing posed the question “Can Machines Think?” and introduced the Turing Test for Artificial Intelligence in 1950(1), significant progress has been made in the field of Artificial Intelligence, and several fields of AI are now being used in healthcare. We venture into the realm of Natural Language Processing (NLP), a multi-disciplinary field that combines linguistics, computer science, and artificial intelligence. This innovative technology enables machines to not only comprehend and interpret human language but also communicate effectively, imparting clarity and context to the vast expanse of healthcare data(2). In this article, we delve into the history, utilisation, and obstacles of NLP in healthcare, revealing its role in improving patient care and reshaping the future of medicine.
Author Sub-editor: Dr Pok-Tin Tang Dr Pok-Tin Tang is an ST5 cardiology registrar in the Thames Valley deanery, currently undertaking a period of out of
Author Sub-editor: Dr May Hu Dr May Hu is a cardiology trainee in the North West deanery. She graduated with First Class Honours from the University
Author Sub-editor: Dr Jhiamluka Solano Dr Jhiamluka Solano is a cardiology resident doctor (ST6) in the Yorkshire and Humber Deanery, currently undertaking a DPhil (PhD)
Author Sub-editor: Dr Joshua Rowland Dr Joshua Rowland is a cardiology registrar working in the North West Deanery. He graduated from the University of Manchester
Author Sub-editor: Dr Atmadeep Banerjee Dr Atmadeep Banerjee is an ST4 Cardiology Registrar in the Kent, Surrey and Sussex deanery. He graduated from Calcutta National
