The Oesophageal Cancer Multidisciplinary Team: Can Machine Learning Assist Decision-Making?

Navamayooran Thavanesan Ganesh Vigneswaran Indu Bodala Timothy J Underwood

Published in: Journal of gastrointestinal surgery : official journal of the Society for Surgery of the Alimentary Tract (2023)

The authors feel the UGI MDT offers an information-rich, diverse array of data from which ML offers the potential to standardise, automate, and produce more consistent, data-driven MDT decisions.

Keyphrases

machine learning
decision making
papillary thyroid
big data
quality improvement
electronic health record
palliative care
squamous cell
artificial intelligence
high resolution
health information
lymph node metastasis
human health
healthcare
deep learning
mass spectrometry