"Health professions education (HPE) researchers are regularly asked to articulate their use of theory, theoretical frameworks, and conceptual frameworks in their research. However, all too often, these words are used interchangeably or without a clear understanding of the differences between these concepts....
Source: lww.com
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.
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Source: gmc-uk.org
In a multicenter study, radiologists had better performance with deep convolutional network software for the detection of malignant pulmonary nodules on chest radiographs than without. Deep Convolutional Neural Network-based Software Improves Radiologist Detection of Malignant Lung Nodules on Chest Radiographs....
Source: rsna.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
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
Physicians reported less burnout and emotional exhaustion after receiving short-term professional coaching, according to a pilot trial published in JAMA Internal Medicine. Counseling Reduces Physician Burnout Anita Slomski. JAMA. 2019;322(16):1544 This editorial in JAMA comments on the recent paper:...
Source: jamanetwork.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
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
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
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
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. 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
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
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
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
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
Intel’s Neuromorphic System Hits 8 Million Neurons, 100 Million Coming by 2020: The 64-chip Pohoiki Beach system is used by researchers to make systems that learn and see the world more like humans. "At the DARPA Electronics Resurgence Initiative Summit today in Detroit, Intel plans to unveil an 8-million-neuron...
Source: ieee.org
Ebola outbreak in the Democratic Republic of the Congo declared a Public Health Emergency of International Concern: WHO Director-General Dr. Tedros Adhanom Ghebreyesus today declared the Ebola virus disease (EVD) outbreak in the Democratic Republic of the Congo (DRC) a Public Health Emergency of International...
Source: who.int
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