Data-driven humanitarianism
An article from MIT Technology Review showing how the World Food
Programme uses geospatial data that is developed and made 'open' to all
by people within the areas being served. "It’s one of the most beautiful places on Earth, but its people are among the most vulnerable. Afghanistan’s snowy...
Source: technologyreview.com
Why Are COVID-19 Case Numbers Dropping?
"We don’t know. That part is easy. Also easy is that case numbers really are falling — it’s not just reduced testing — and it’s happening pretty much everywhere. Urban areas and rural. Red states and blue. Places with broad vaccine rollouts and those with hardly any. North and South America,...
Source: jwatch.org
AI uses "ugly duckling" technique to spot melanoma with high accuracy
"Artificial intelligence is starting to combine with smartphone technology in ways that could have profound impacts on the way we monitor health, from tracking blood volume changes in diabetics to detecting concussions by filming the eyes." "Using the technology to spot melanoma in its early stages is...
Source: newatlas.com
Using whale songs to image beneath the ocean
Using whale songs to image beneath the ocean’s floor: Seismic data generated by whale songs helps build a picture of the ocean's base. "The song of a fin whale is not exactly the sort of thing you'd typically describe as musical. It's generally in the area of 20Hz, which sounds more like a series of...
Source: arstechnica.com
Using Machine Learning to Detect Deficient Coverage in Colonoscopy Screenings
Using Machine Learning to Detect Deficient Coverage in Colonoscopy Screenings: Posted by Daniel Freedman and Ehud Rivlin, Research Scientists, Google Health "In “Detecting Deficient Coverage in Colonoscopies”, we introduce the Colonoscopy Coverage Deficiency via Depth algorithm, or C2D2, a machine...
Source: googleblog.com
When Artificial Intelligence Meets the Internet of Things
AIoT: When Artificial Intelligence Meets the Internet of Things: AI is emerging as a driving technology behind the internet of things (IoT). Learn about the new AIoT, and how it will impact the future. Nice visual summary of an exciting area of innovation. The key challenge I feel is who has power over...
Source: visualcapitalist.com
Virtual reality technology for teaching neurosurgery of skull base tumor
Virtual reality technology for teaching neurosurgery of skull base tumor: Neurosurgery represents one of the most challenging and delicate of any surgical procedure. Skull base tumors in particular oftentimes present as a very technically difficult procedures in the setting of neurosurgical teaching....
Source: biomedcentral.com
20 optical illusions and how they work.
Our vision works very differently to how we assume it might work. It uses a lot of shortcuts to quickly decipher the world and those shortcuts are usually correct. Sometimes though, our vision is fooled and it these quirky areas of processing where optical illusions work. This great list id from Listverse.
Source: listverse.com
Teaching a difficult topic in medical genetics using a problem-based concept resembling a computer game.
Teaching a difficult topic using a problem-based concept resembling a computer game: development and evaluation of an e-learning application for medical molecular genetics: E-learning through serious gaming. Teaching concepts such as genetic testing and the digital literacy required to analyse data can...
Source: biomedcentral.com
Patient experience feedback in UK hospitals: What types are available and what are their potential roles in quality improvement
Patient experience feedback in UK hospitals: What types are available and what are their potential roles in quality improvement (QI)?: The comparative uses of different types of patient experience (PE) feedback as data within quality improvement (QI) are poorly understood. This paper reviews what types...
Source: wiley.com
Using artificial intelligence to read chest radiographs for tuberculosis detection: A multi-site evaluation
Using artificial intelligence to read chest radiographs for tuberculosis detection: A multi-site evaluation of the diagnostic accuracy of three deep learning systems: Deep learning (DL) neural networks have only recently been employed to interpret chest radiography (CXR) to screen and triage people for...
Source: nature.com
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
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
Training medical students to manage difficult circumstances- a curriculum for resilience and resourcefulness?: In response
Training medical students to manage difficult circumstances- a curriculum for resilience and resourcefulness?: In response to the growing prevalence of physical and emotional burnout amongst medical students and practicing physicians, we sought to find a new methodology to scope a five-year undergraduate...
Source: biomedcentral.com
Gaining insights with Natural Language Processing of Reddit Data to Evaluate Dermatology Patient Experiences and Therapeutics.
Gaining insights with Natural Language Processing of Reddit Data to Evaluate Dermatology Patient Experiences and Therapeutics. "There is a lack of research studying patient-generated data on Reddit, one of the world’s most popular forums with active users interested in dermatology. Techniques within...
Source: sciencedirect.com
Online learning is supported by factors such as Accessibility, Functionality, Group discussion, Students' communicationality,
Online learning is supported by factors such as Accessibility, Functionality, Group discussion, Students' communicationality, and Technology aptitude. It is negatively influenced by time consumption and distraction. Researchers analysed learners on a large online course using thematic analysis and then...
Source: alt.ac.uk
Inspired by @oldaily's #el30 Elearning 3.0 series I have just added a #meded project to the distributed web. It now has
Inspired by @oldaily's #el30 Elearning 3.0 series I have just added a
#meded project to the distributed web. It now has a permanent place on
the web without even requiring a server. #eldercareApp
https://gateway.ipfs.io/ipfs/Qme7F72usRCWJtRzRXBaUeKmeQW2xCChdCHaVXQdTJP2c3/ So what does that all...
Source: ipfs.io
Poorer areas of England have more fast-food shops, figures show: Health agency calls on councils to consider imposing limits
Poorer areas of England have more fast-food shops, figures show: Health agency calls on councils to consider imposing limits to help reduce obesity
Source: theguardian.com
Bloom's 2 Sigma Problem
I've been looking for another way of presenting evidence for instructional design that is more efficient than simple lectures. The data collected by Benjamin Bloom and published in 1984 seems useful and I've redrawn the graph so it looks more modern than the line drawings of the original. Learning...
Source: wikipedia.org
Management Reasoning: Beyond the Diagnosis: This Viewpoint discusses management reasoning, ways in which it differs from
Management Reasoning: Beyond the Diagnosis: This Viewpoint discusses management reasoning, ways in which it differs from diagnostic reasoning, and areas that require further research. David A. Cook. Jonathan Sherbino. Steven J. Durning. JAMA.
Source: jamanetwork.com
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