Supporting migrants and refugees with posttraumatic stress disorder: development, pilot implementation, and pilot evaluation of a continuing interprofessional education for healthcare providers: Refugees and migrants face an increased risk of developing posttraumatic stress disorder (PTSD). Adequate...
Source: biomedcentral.com
Evidence slowly building for long-term heart problems post-COVID-19: While there are anecdotes aplenty, there's also some solid science behind the worries.
Source: arstechnica.com
A comparison between the effectiveness of a gamified approach with the conventional approach in point-of-care ultrasonographic training: Although gamification increases user engagement, its effectiveness in point-of-care ultrasonographic training has yet to be fully established. This study was conducted...
Source: biomedcentral.com
Stephen's Web ~ Learning Analytics beyond the LMS: Enabling Connected Learning via Open Source Analytics in ‘the wild’ ~ Stephen Downes "This excellent report (55 page PDF) will introduce you to the Connected Learning Analytics (CLA) toolkit." Overview of an approach to learning analytics.
Source: downes.ca
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
Twitter is one of the most popular microblogging and social networking platforms where massive instant messages (i.e. tweets) are posted every day. Twitter sentiment analysis tackles the problem of analyzing users’ tweets in terms of thoughts, interests and opinions in a variety of contexts and domains....
Source: online-journals.org
Retooling Strategy for a Post-Pandemic World: Covid-19 has shown us the cost of shortchanging adaptability, prediction and resilience. A perspective on how to guide your business through turbulent times - and some good ideas for how to approach the normal complexity of the real world. How much the 'winners'...
Source: bain.com
"Exploring Faster Screening with Fewer Tests via Bayesian Group Testing: Posted by Marco Cuturi and Jean-Philippe Vert, Research Scientists, Google Research, Brain Team How does one find a needle in a haystack..." Testing a population of 16 where only one is positive would require 16 tests. However,...
Source: googleblog.com
My next tweet could be generated by a deep-learning neural network. I've been training one. Would anyone notice the difference? Could I just hand over tweeting to my machine? Method: downloaded the last 3200 Tweets that I posted using allmytweets.netpruned the dates off and removed the RTs by using some...
Source: agnate.co.uk
If I wanted to find those who have a "conservative ideology" - so that I could share my views or influence them - I would do the following: set up a new account and start making contactsshare several of those technology scare hoax stories that you see posted e.g. Dance of the Pope virus video, the Andrea...
Source: historynewsnetwork.org
1. Companies that traffic in digital services and e-commerce will make immediate and lasting gains 2. Remote work will become the default 3. Many jobs will be automated, and the rest will be made remote-capable 4. Telemedicine will become the new normal, signaling an explosion in med-tech innovation...
Source: medium.com
Effectiveness and feasibility of a mindful leadership course for medical specialists: a pilot study: Medical specialists experience high levels of stress. This has an impact on their well-being, but also on quality of their leadership. In the current mixed method study, the feasibility and effectiveness...
Source: biomedcentral.com
"Guide To Using Reverse Image Search For Investigations - bellingcat: Reverse image search is one of the most well-known and easiest digital investigative techniques, with two-click functionality of choosing “Search Google for image” in many web browsers. This method has also seen widespread use...
Source: bellingcat.com
Open University publishes a review of learning technologies looking at how pedagogy is changing. This year's report "Innovating Pedagogy 2020" highlights a number of emerging trends in education or learning. The report is well referenced and gives practical advice on how best to apply these innovations....
Source: edtechie.net
Outcomes-based planning for CME (Continuing Medical Education) often cites Donald Moore, Professor of Medical Education at Vanderbilt University. In 2009 he published an outcomes framework for CME (1) - which expanded George Miller's 1990 competency pyramid (2) - followed by a more detailed explanation...
Source: agnate.co.uk
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
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
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
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 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