Drugmaker to Test Machine Learning to Prevent Drug Shortages: Germany-based Merck plans to use analytics and machine learning to predict and prevent drug shortages, a move that could also save it money.
Source: wsj.com
Video for learning is great at some things, not so great at others. Great summary of recent evidence from Donald Clark. What can we learn from Netflix? (Use technology appropriately not just the buzzwords) Episodic vs. Semantic memory (Remembering the right things from video isn't as easy as you think)...
Source: blogspot.com
Leading for integrated care: This report explores the progress, challenges and opportunities the move towards greater integration presents, through interviews with 16 people leading or chairing an integrated care system or sustainability and transformation partnership. "Under current plans all parts...
Source: kingsfund.org.uk
Caring for doctors Caring for patients: An independent report into the wellbeing of UK medical students and doctors. "In 2018 we commissioned Professor Michael West and Dame Denise Coia, to carry out a UK-wide review to help tackle the causes of poor wellbeing faced by medical students and doctors.
...
Source: gmc-uk.org
"5 Features of Modern Workplace Learning - Modern Workplace Learning 2020: There is a big mismatch between how individuals acquire new knowledge and skills and what they value (discovery, discourse and doing), and what organisations focus on and value (didactics). Modern Workplace Learning (MWL) is an...
Source: modernworkplacelearning.com
14 Different Types of Learning in Machine Learning: Machine learning is a large field of study that overlaps with and inherits ideas from many related fields such as artificial intelligence. The focus of the field is learning, that is, acquiring skills or knowledge from experience. Most commonly, this...
Source: machinelearningmastery.com
Factors associated with successful dementia education for practitioners in primary care: an in-depth case study. Designing learning for person-centred care is challenging and needs to involve an approach that works with HCPs and interdisciplinary teams. “With increasing numbers of people in the UK...
Source: biomedcentral.com
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
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
Beyond the Quality Illusion: The Learning Era : Academic Medicine: Jur Koksma and Jan Kremer. The authors recommend, for the path forward, a “travel kit” of 10 crucial elements—compassion, deliberation, flexible goals, ownership, the engagement of patients, the inclusion of payers, the involvement...
Source: lww.com
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 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
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
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 (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
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
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 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
This book is outstanding - brief, proudly retro, humorous, and genius. A great introduction to the last 60 years of AI. To know a subject so well that you can reduce it to a Ladybird-style book readable by all is a gift. We could all learn from this level of presentation.
It is available online...
Source: amazon.co.uk
“In essence Cognitive Load Theory (CLT) is a simple idea: people have limited capacity for processing information; by designing learning experiences and materials in a way that respects those limitations, we can improve the process.
“Though there is nothing fundamentally wrong with this idea,...
Source: aconventional.com