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Impressive Healthcare AI results for Vision Research & Cancer Treatment

This post explores the latest research and AI innovation in vision research and cancer treatment. Learn more about CSIRO’s bionic vision research, powered by the Dell EMC PowerEdge servers. And find out how Gustave Roussy, a leading European center for cancer treatment, sought to increase the processing capabilities of its bioinformatics platform to support more genome analyses per day while enhancing research programs, via a new insideBIGDATA special report.

Exploring the Application of AI Within Healthcare

AI is already having a profound impact on patient care. Machine learning and deep learning build the fundamentals to an AI system, and by taking a holistic approach to the data being generated within healthcare, AI-enabled systems can help to assess risk and facilitate improved human decision making. This insideBIGDATA special report article delves into the application of AI within healthcare, as well as the impact and challenges of these new tools. 

Medical Device Security: Ensuring Data Integrity

In this contributed article, technology writer and blogger Kayla Matthews suggests that one of the best ways to make healthcare smarter, more accurate and more engaging is by gathering data on a huge scale and then using it to gather insights into individual patient conditions as well as the effectiveness of treatments over a much broader scale.

Innovation in Data Management Accelerating Neuroscience, Virtual Reality, and Early Cancer Diagnosis

A research company using Artificial Intelligence (AI) in the fight against cancer. An animation studio creating films and virtual reality (VR) amusement parks. A team of scientists deepening our understanding of the human brain. All struggled to manage massive amounts of unstructured data, until they turned to Seattle-based Igneous – the leader in Unstructured Data Management (UDM) – and its as-a-Service, high-performance data management solution.

The Future of EHRs, Big Data, and Patient Privacy

In this contributed article, freelance human Avery Phillips suggests that the volume and quality of patients records being transferred online is awesome in the original sense of the word. However, it also presents an ever-growing security risk, and standards will need to be held, with security researchers rising to the challenge of keeping the information as secure as possible and ensure companies maintain compliance with HIPAA.

How AI Technologies Will Create More Doctor-Patient Face-time

In this special guest feature Anand Shroff, Co-founder and Chief Development Officer at Health Fidelity, discusses the reality that AI technologies can create opportunity for meaningful, productive patient-provider interactions, primarily by reducing administrative burden, and provides three examples.

The Use of NLP to Extract Unstructured Medical Data From Text

In this contributed article, Luke Potgieter, tech advisor for John Snow Labs, discusses the important of NLP for the healthcare industry, and offers two common AI-in-healthcare use cases. NLP is a very useful and important tool for use in AI in dealing with unstructured data.

8 Ways 8 Billion Data Points Can Lower Diabetes Costs

In this contributed article, David Conn, Chief Commercial Officer at Glooko, discusses how dealing with diabetes requires data, and how data science provides deep access to key aspects of chronic disease progression and treatment. Insights created by the data collected is key to improving overall care and avoiding risk in diabetes management.

Big Data and the Opioid Crisis

In this contributed article, freelance human Avery Phillips takes a look at the opioid crisis and how two major components of big data can help find a solution including patient behavioral analysis, and also prescription/outcome tracking.

When Data Quality meets Context, Health Wearables Find Their Power

In this special guest feature, Jiang Li, CEO of VivaLNK, offers three key considerations when it comes to remote patient monitoring (RPM) and the Internet of Healthcare Things (IoHT); a world where devices remotely and continuous gather meaningful data on the state of our health before, during and after a health event.