Table of Contents
Status
Published
Video
Video
Ready to Publish
Ready to Publish
Publish Date
Oct 7, 2021
Target
Long Form
Blog Ideas
Design
Drafted
Graphics
Graphics
Type
Idea
Video Recording
Burnout and Moral Injury
✍️ Moral Injury (Burnout) is a syndrome conceptualized as resulting from chronic workplace stress that has not been successfully managed.
It's preferable to use the word moral injury instead of burnout because burnout basically means that a person has some intrinsic problem and because of which he/she is ineffective whereas the word moral injury redefines the problem as external i.e. due to workplace, employer, colleagues, etc.
These Lesson are part of the course: "Decide Wisely: A Guide to Choosing A Medical Specialty In The Post-Pandemic Digital Healthcare Era." Module: 0 - Logarithmic to Algorithmic Change - Industry 4.0 to Healthcare 4.0
🔗 For enrollment and for more details about the course and the topic, please visit:
FDA Approved AI devices - Now in one database!
The Open-Source Movement Comes to Medical Datasets
Hoping to spur crowd-sourced AI applications in health care, Stanford’s AIMI center is expanding its free repository of datasets for researchers around the world.
Now, AIMI has teamed up with Microsoft’s AI for Health program to launch a new platform that will be more automated, accessible, and visible. It will be capable of hosting and organizing scores of additional images from institutions around the world
Stanford HAI's mission is to advance AI research, education, policy and practice to improve the human condition. Learn more.
Text Data Augmentation for Deep Learning
Natural Language Processing (NLP) is one of the most captivating applications of Deep Learning. Deep Learning generally struggles with the measurement of generalization and characterization of overfitting. We highlight studies that cover how augmentations can construct test sets for generalization. NLP is at an early stage in applying Data Augmentation compared to Computer Vision. For the sake of practical implementation, we describe tools that facilitate Data Augmentation such as the use of consistency regularization, controllers, and offline and online augmentation pipelines, to preview a few. Finally, we discuss interesting topics around Data Augmentation in NLP such as task-specific augmentations.
Stop Tilting at Windmills: Getting to a Longitudinal Patient Record in a Fractured System
The longitudinal patient record is often discussed as a feature of an evolved healthcare
IT landscape. But what would it mean to truly implement it in our current system?
Creating better ways for patients to access their own full-length medical records would
certainly, be an improvement, and despite regulatory and business innovation efforts to
inject this idea into the process, the reality is often more complicated.
Written by
CEO | Founder | President NeuroCare.AI - Advancing Digital Health Ecosystem in Emerging Countries!