Edge Computing in Healthcare
✍ Edge computing is the computational process in which the actual CPU and its modules will do everything including the training of models right at the edge device, instead of the data going all the way to the cloud for processing. Big cloud servers like YouTube are connected through a core network and then through edge servers, and then through edge devices. But if you bring down all the computing power to the level of the edge, you'd significantly remove the latency, the chance of data breaches, and can also improve privacy.
In edge computing, the service location is directly in the edge network or on the device, or within the router or the specific location thereby reducing latency. For healthcare in general, it's extremely important to have low latency and low jitter. In addition to that, geolocation wise it’s distributed, so even if there is a data breach, loss of data is low
The EU Artificial Intelligence Act
The European Commission Proposes New AI Regulations April 21st 2021
One can hear several broad statements in different media:
New York Times — Europe Proposes Strict Rules for Artificial Intelligence. (This has consequences for large technology actors etc.)
The Wall Street Journal — Artificial Intelligence, Facial Recognition Face Curbs in New EU Proposal. (Mention of the world-wide fine of 6%.)
Associated Press — EU outlines ambitious AI regulations focused on risky uses. (Mention of ‘high-risk’ AI systems, the U.S and China, and the mention of ‘manipulative’ behaviour.)
The Economist — The EU wants to become the world’s super-regulator in AI. (Talks of competition etc.)
The Conversation — EU is cracking down on AI, but leaves a loophole for mass surveillance. (Talks about mass surveillance and argues there is a loophole, since the police can use AI).
Moving from bytes to bedside: a systematic review on the use of artificial intelligence in the intensive care unit
The vast majority of developed ICU-AI models remain within the testing and prototyping environment; only a handful were actually evaluated in clinical practice. A uniform and structured approach can support the development, safe delivery, and implementation of AI to determine clinical benefit in the ICU.
WhatsApp Tele-Medicine – usage patterns and physicians views on the platform
In times of COVID-19 that require social distancing, WhatsApp provides a simple, readily available platform for consultations between healthcare providers, even to the extent of rendering some in-person appointments unnecessary. Healthcare organizations should address the matters troubling healthcare providers, mainly patient confidentiality and lack of documentation in patients’ medical records, while providing adequate compensation for those providing the service during and after work hours.