data safe
Mental Health Apps Are Not Keeping Your Data Safe
Photo caption: Many apps that provide mental health services are based on artificial intelligence algorithms that haven't been properly vetted for ethical and moral concerns, affecting already vulnerable people. Imagine calling a suicide prevention hotline in a crisis. Do you ask for their data collection policy? Do you assume that your data are protected and kept secure? Recent events may make you consider your answers more carefully.
Deep Learning - Pushing the boundaries of health AI. How do we make it fair and the data safe? - Coda Change
Over the last 5 years there has actually been a confluence of a few different historical threats. We’ve had health data being increasingly digitalised and we’ve had the proliferation of accessible massive scale computing, both of which have un-locked a technique developed in the early 80’s called deep learning, which is really good at pattern recognition over large data sets.Key trends in the last year include the first randomised clinical trials in the clinical application of AI in health, the potential for AI in clinical discovery particularly using multimodal data (including electronic medical records, imaging data, genomic data) and combining that to find patterns in very large data sets. This is the real beginning of precision medicine. Finally there are day to day clinical process applications being used to predict resource allocation or disease outbreaks.At the same time there are some systemic challenges facing AI in health, including workflow integration, bias, equity and just access. How can we mitigate these biases and make them fair.Finally how do we make this sensitive data safe? Is the answer Federated machine learning where we send the AI algorithms out to local networks and apply them there?
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The Impact of Artificial Intelligence on Healthcare Technology - Comm-Works
Artificial Intelligence (AI) is gaining momentum in the healthcare industry, and IT executives are expanding their use of these technologies, creating solutions to accommodate the growing demand for AI tools. Artificial intelligence is on its way to becoming the new standard for user interfaces in healthcare IT over the next few years; AI is undoubtedly the future of healthcare. Other industries, such as retail and finance, have seen significant advancements in artificial intelligence and predictive analytics. Healthcare has some catching up to do, some hospitals and health systems are leveraging information technology to their advantage, with an expected telehealth boom making its mark in the industry. As patients look to healthcare to ensure they receive quality customer care, such as that provided by retailers and banks, healthcare is making a transition to a patient outcomes-based model.
Is YOUR data safe? Facebook admits government requests for account information rose 27% this year
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Is your data safe when it's at rest? MarkLogic 9 aims to make sure it is
The database landscape is much more diverse than it once was, thanks in large part to big data, and on Tuesday, one of today's newer contenders unveiled an upcoming release featuring a major boost in security. Version 9 of MarkLogic's namesake NoSQL database will be available at the end of this year, and one of its key new features is the inclusion of Cryptsoft's KMIP (Key Management Interoperability Protocol) technology. MarkLogic has placed its bets on companies' need to integrate data from dispersed enterprise silos -- a task that has often required the use of so-called ETL tools to extract, transform and load data into a traditional relational database. Aiming to offer an alternative approach, MarkLogic's technology combines the flexibility, scalability, and agility of NoSQL with enterprise-hardened features like government-grade security and high availability, it says. Now coming up in the next generation of the software will be a variety of improvements in data integration, manageability and security, the company says, but certainly most notable among them is the addition of Cryptsoft's KMIP.