Aleksandr Solzhenitsyn's One Day in the Life of Ivan Denisovich. “This brutal, shattering glimpse of the fate of millions
Aleksandr Solzhenitsyn's One Day in the Life of Ivan Denisovich. “This brutal, shattering glimpse of the fate of millions of Russians under Stalin shook Russia and shocked the world when it first appeared.” Should have read this humbling but uplifting book a long time ago. Places you in a hard labour...
Source: amazon.co.uk
Better wisdom from crowds: MIT scholars produce new method of harvesting correct answers from groups. “A new technique
Better wisdom from crowds: MIT scholars produce new method of harvesting correct answers from groups. “A new technique [described in 2017] can better extract correct answers from large groups of people. For a given question, people are asked two things: What they think the right answer is, and what...
Source: mit.edu
Clinic room designs must fit care models | Canadian Healthcare Network "Innovative clinic room design can (and should) advance
Clinic room designs must fit care models | Canadian Healthcare Network "Innovative clinic room design can (and should) advance the practice of collaborative thinking and decision-making in medicine by abolishing the "doctor behind the desk" phenomenon. The round table makes an appearance in rare instances...
Source: canadianhealthcarenetwork.ca
Acute care toolkit 15: Managing acute medical problems in pregnancy: Pregnant women can present to any acute hospital service
Acute care toolkit 15: Managing acute medical problems in pregnancy: Pregnant women can present to any acute hospital service at any time during their pregnancy or the postpartum period, which is up to 12 months post-delivery.
Source: rcplondon.ac.uk
How To Kill Ideas: We were asked last week by the Disruptive Innovators Network, 'How long should you spend on an idea?'
How To Kill Ideas: We were asked last week by the Disruptive Innovators Network, 'How long should you spend on an idea?' "In the early days of Bromford Lab we had a 12 WEEKS MAX rule. If we couldn’t get an idea up and running within that time – it should be killed. We soon realised the error of our...
Source: paulitaylor.com
Researchers "Translate" Bat Talk. Turns Out, They Argue—A Lot: A machine learning algorithm helped decode the squeaks
Researchers "Translate" Bat Talk. Turns Out, They Argue—A Lot: A machine learning algorithm helped decode the squeaks Egyptian fruit bats make in their roost, revealing that they “speak” to one another as individuals.
Source: smithsonianmag.com
Change in clinical practice is slow even when it is obvious change should occur. Changing to a generic drug took 8 months
Change in clinical practice is slow even when it is obvious change should occur. Changing to a generic drug took 8 months and it was 18 months for adopting a guideline on UTI. "Substantial variation was observed in the speed with which individual NHS general practices responded to warranted changes...
Source: bmj.com
College students who go off Facebook for a week consume less news and report being less depressed: When users stop getting
College students who go off Facebook for a week consume less news and report being less depressed: When users stop getting news from Facebook, they don't necessarily start getting it somewhere else.
Source: niemanlab.org
Lift Weight, Not Too Much, Most of the Days. “Greasing the groove, as Tsatsouline explains it, means not working your
Lift Weight, Not Too Much, Most of the Days. “Greasing the groove, as Tsatsouline explains it, means not working your muscles to the point of failure. A common idea in weightlifting is that you should lift until you can’t do another rep, purposely damaging muscle tissues so they grow back bigger....
Source: theatlantic.com
A Gentle Introduction to Joint, Marginal, and Conditional Probability: Probability quantifies the uncertainty of the outcomes
A Gentle Introduction to Joint, Marginal, and Conditional Probability: Probability quantifies the uncertainty of the outcomes of a random variable. It is relatively easy to understand and compute the probability for a single variable. Nevertheless, in machine learning, we often have many random variables...
Source: machinelearningmastery.com
Smart Identification of Psoriasis by Images Using Convolutional Neural Networks: A Case Study in China. - PubMed - NCBI
Smart Identification of Psoriasis by Images Using Convolutional Neural Networks: A Case Study in China. - PubMed - NCBI
Source: nih.gov
Could deep learning AI be used to screen TIA clinic referral letters? Possibly.
Could deep learning AI be used to screen TIA clinic referral letters? Possibly. Stroke prevention clinics (TIA or Transient Ischaemic Attack) clinics are an important aspect of urgent care. A TIA is a risk factor for future stroke. Medical treatment needs to be started quickly and surgical options, if...
Source: agnate.co.uk
Four Key Barriers to the Widespread Adoption of AI: There is a lot of buzz about the promise of artificial intelligence
Four Key Barriers to the Widespread Adoption of AI: There is a lot of buzz about the promise of artificial intelligence (AI) and machine learning—from self-driving cars to predicting heart attacks, AI is spreading like wildfire across industries, triggering a massive investment in talent as businesses...
Source: mit.edu
Five management strategies for getting the most from artificial intelligence (AI). "To find out more about what contributes
Five management strategies for getting the most from artificial intelligence (AI). "To find out more about what contributes to successful AI adoption, we helped lead a survey by the McKinsey Global Institute of 3,000 C-level executives across 10 countries and 14 sectors. From that research, we identified...
Source: mit.edu
Communication Strategies for Sharing Prognostic Information With Patients—Beyond Survival Statistics: This Viewpoint discusses
Communication Strategies for Sharing Prognostic Information With Patients—Beyond Survival Statistics: This Viewpoint discusses the challenges of communicating uncertain prognosis to patients and offers a framework and language that go past mortality statistics—addressing range of time left, loss...
Source: jamanetwork.com
AI Evidence Mapping. Developing a fully automated evidence synthesis tool for identifying, assessing and collating the evidence.
AI Evidence Mapping. Developing a fully automated evidence synthesis tool for identifying, assessing and collating the evidence. “Here, we describe a fully automated evidence synthesis system for intervention studies, one that identifies all the relevant evidence, assesses the evidence for reliability...
Source: bmj.com
Cloud computing services transform our economies while economic measurement struggles to keep up with the new technology.
Cloud computing services transform our economies while economic measurement struggles to keep up with the new technology. Gone are the days when servers used to live in the office basement since now more technology is moving to 'the cloud'. "As the inexorable rise of cloud computing services continues...
Source: escoe.ac.uk
Are there automation-resistant intelligences? The question we all want to ask is 'will my job be taken over by a robot?'
Are there automation-resistant intelligences? The question we all want to ask is 'will my job be taken over by a robot?' "Our model predicts that most workers in transportation and logistics occupations, together with the bulk of office and administrative support workers, and labour in production occupations,...
Source: ox.ac.uk
Building SMILY, a Human-Centric, Similar-Image Search Tool for Pathology. Advances in machine learning (ML) have shown great
Building SMILY, a Human-Centric, Similar-Image Search Tool for Pathology. Advances in machine learning (ML) have shown great promise for assisting in the work of healthcare professionals, such as aiding the detection of diabetic eye disease and metastatic breast cancer. Though high-performing algorithms...
Source: googleblog.com
Robust Neural Machine Translation: In recent years, neural machine translation (NMT) using Transformer models has experienced
Robust Neural Machine Translation: In recent years, neural machine translation (NMT) using Transformer models has experienced tremendous success. Based on deep neural networks, NMT models are usually trained end-to-end on very large parallel corpora (input/output text pairs) in an entirely data-driven...
Source: googleblog.com
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