How can doctors use technology to help them diagnose?
File version
Version of Record (VoR)
Author(s)
Griffith University Author(s)
Primary Supervisor
Other Supervisors
Editor(s)
Date
Size
File type(s)
Location
Abstract
In Japan’s first reported case of artificial intelligence saving someone’s life, an AI has succeeded where a team of skilled human doctors did not. A woman with a rare type of leukaemia was correctly diagnosed by the AI. Even more remarkable, it took just ten minutes to compare the woman’s genetic information with 20 million clinical oncology studies to arrive at the life-saving diagnosis. Does this mean robots are going to replace our doctors? Not quite, but increasing volumes of medical data, more powerful computers and smarter algorithms could see a future medical science in which human doctors are helped by AI. Data driven medicine taps into the expanding databases of genomic, clinical, imaging (scans and x-rays), and molecular data. Advanced algorithms are put to work that learn from repeated cycles of enquiry, and all of this takes place on affordable computer hardware. We can now sift through billions of records to find answers, taking minutes to do what might take years for humans.
Journal Title
The Conversation
Conference Title
Book Title
Edition
Volume
Issue
Thesis Type
Degree Program
School
DOI
Patent number
Funder(s)
Grant identifier(s)
Rights Statement
Rights Statement
© The Author(s) 2015. This is an Open Access article distributed under the terms of the Creative Commons Attribution-NoDerivs 3.0 Unported (CC BY-ND 3.0) License, which permits unrestricted distribution and reproduction in any medium, providing that the work is properly cited. You may not alter, transform, or build upon this work.
Item Access Status
Note
Access the data
Related item(s)
Subject
Public Health and Health Services
Artificial Intelligence and Image Processing
Persistent link to this record
Citation
Tuffley, D, How can doctors use technology to help them diagnose?, 2015