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Printable Handouts
Navigable Slide Index
- Introduction
- To err is human
- Quality and safety of patient care
- Clinical decision making: early experiments
- Assessment of statistical decision models (c. 1980)
- Human-like models of thinking
- “Knowledge based systems” (c. 1980)
- “Cognitive prostheses”
- Statistics or knowledge?
- The Oxford System of Medicine (1988)
- Knowledge based “expert” systems (c. 2000)
- Knowledge engineering in medicine
- Modelling and formalising expertise
- Multidisciplinary cancer care
- Some routine tasks that AI can help with
- Trials and evaluations of clinical tasks (1)
- Trials and evaluations of clinical tasks (2)
- The knowledge ladder: an AI discovery?
Topics Covered
- Quality and safety of patient care
- Cognitive prostheses to support clinical practice
- Data science and knowledge-based systems
- Knowledge engineering
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Talk Citation
Fox, J. (2019, October 31). Artificial intelligence in medicine: history & state of the art [Video file]. In The Biomedical & Life Sciences Collection, Henry Stewart Talks. Retrieved October 12, 2024, from https://doi.org/10.69645/DYSN5448.Export Citation (RIS)
Publication History
Financial Disclosures
- Commercial/Financial matters disclosed are Prof Fox is a founder and shareholder of Deontics Ltd (www.deontics.com)
Artificial intelligence in medicine: history & state of the art
Published on October 31, 2019
32 min
Other Talks in the Series: Periodic Reports: Advances in Clinical Interventions and Research Platforms
Transcript
Please wait while the transcript is being prepared...
0:00
Hello. My name's John Fox.
I'm going to be talking about "Artificial Intelligence in Medicine".
It's the first talk of two.
The first is I'm going to talk a bit about the history of
the field and the state of the art and then in the second lecture,
I'll talk about how we can transfer from the current stage of
the field into large-scale use of these technologies in clinical practice.
I am going to use for examples a particular set of
techniques and applications from work in Oxford University where I'm from,
and also Cancer Research UK.
But do bear in mind that this is one particular set of
techniques and there is a huge amount of work out
there which some of you may want to follow up on.
I also work for a company called Deontics
that has advanced products in this area, commercial basis.
And I'm chairman of
a non-profits company which I'll talk about later called OpenClinical.
1:01
The starting point for this lecture is something that we all know.
We make mistakes, we've known it for a long time.
Francois de La Rochefoucauld has often quoted his famous quote,
"Everyone complains about their memory but no-one complaints about their judgment."
By which he meant and we all like to believe that well,
we might not be responsible if we forget things or don't know things.
But basically,you know, we're good at decision-making.
The truth is that we as
human beings often made kind of quite bad errors in our decision-making.
Herbert Simon and Daniel Kahneman who were two psychologists who have developed
the huge amount of work in human decision-making and both
of them in fact got the Nobel Prizes for their work,
identified a whole set of reasons why
people as individuals and in organizations make mistakes.
And Alan Rector, professor at Manchester University
who works in Medical OWL for many years,
and he said, "Medicine is a humanly impossible task."
There's just too much to do,
too much to know, too little time and getting everything right is impossible,
and it gets worse as the field of medicine grows,
and that would be a theme of the talk.