Tag: machine learning
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What can machine learning do? Workforce implications | Science
Although recent advances in the capabilities of machine learning (ML) systems are impressive, they are not equally suitable for all tasks… .We identify eight key criteria that help distinguish successful ML tasks from tasks where ML is less likely to be successful. Learning a function that maps well-defined inputs to well-defined outputs. Large (digital) data…
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IBM’s Watson gave unsafe recommendations for treating cancer
In 2012, doctors at Memorial Sloan Kettering Cancer Center partnered with IBM to train Watson to diagnose and treat patients. But according to IBM documents dated from last summer, the supercomputer has frequently given bad advice, like when it suggested a cancer patient with severe bleeding be given a drug that could cause the bleeding…
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Separating the Art of Medicine from Artificial Intelligence
in AIWriting a radiology report is an extreme form of data compression — you are converting around 2 megabytes of data into a few bytes, in effect performing lossy compression with a huge compressive ratio. Source: Separating the Art of Medicine from Artificial Intelligence For me, there were a few useful takeaways from this article. The first is…
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We Need Transparency in Algorithms, But Too Much Can Backfire
The students had also been asked what grade they thought they would get, and it turned out that levels of trust in those students whose actual grades hit or exceeded that estimate were unaffected by transparency. But people whose expectations were violated – students who received lower scores than they expected – trusted the algorithm…
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Eagle-eyed machine learning algorithm outdoes human experts — ScienceDaily
“Human detection and identification is error-prone, inconsistent and inefficient. Perhaps most importantly, it’s not scalable,” says Morgan. “Newer imaging technologies are outstripping human capabilities to analyze the data we can produce.” Source: Eagle-eyed machine learning algorithm outdoes human experts — ScienceDaily The point here is that data is being generated faster than we can analyse…
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Medical images: the only photos not in the cloud – AI Med
We know that AI could prove highly beneficial for radiologists by cutting down on read times and improving accuracy. In addition, AI could be a strong resource for mining large data sets for both individual patient care and global insights. But first, we must access the images. Today’s traditional hardware, CDs, and PACS (picture archiving…
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Can Machines Be Creative? Meet 9 AI ‘Artists’
in AIHumans, however, make art for its own sake, as a form of personal expression. And as computer engineers attempt to imbue artificial intelligence (AI) with humanlike capabilities and behaviors, a question arises: Can AI create art? Source: Can Machines Be Creative? Meet 9 AI ‘Artists’ The traditional rhetoric around AI-based systems is that they’re getting…
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A.I. Versus M.D. What happens when diagnosis is automated?
The word “diagnosis,” he reminded me, comes from the Greek for “knowing apart.” Machine-learning algorithms will only become better at such knowing apart—at partitioning, at distinguishing moles from melanomas. But knowing, in all its dimensions, transcends those task-focussed algorithms. In the realm of medicine, perhaps the ultimate rewards come from knowing together. Source: A.I. Versus…
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You are your Metadata: Identification and Obfuscation of Social Media Users using Metadata Information
We spend a lot of time focusing on the content of messaging systems as a means of identifying people but it looks like the metadata encoded alongside the content may be just as important when it comes to de-anonymising the data. This wasn’t always a problem because it’s hard to analyse multivariate relationships in large…
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An introduction to artificial intelligence in clinical practice and education
Two weeks ago I presented some of my thoughts on the implications of AI and machine learning in clinical practice and health professions education at the 2018 SAAHE conference. Here are the slides I used (20 slides for 20 seconds each) with a very brief description of each slide. This presentation is based on a…