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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.

AI Will Not Replace Radiologists

In this special guest feature, Elad Walach, CEO of Aidoc, offers four important reasons today’s budding radiologists need not fear AI displacement. Given mounting workloads and the severe shortage of radiologists in the face of rising demand, AI augmentation will be a tremendous boon to the profession—not an existential threat.

Apixio Launches HCC Auditor, AI-Powered Risk Adjustment Auditing Solution

Apixio Inc., the data science company for healthcare, announced availability of the AI-powered solution to help health plans and provider organizations to undertake internal audits of their risk adjustment payment data with increased accuracy and in far less time than traditional methods.

AI for Pharma R&D – Creating Anti-cancer Drugs Faster, Reducing Process from Years to Days

The costs and process of developing anti-cancer drugs has been an extreme challenge for decades. Today one company, AccutarBio, is harnessing the power of AI to accelerate drug discovery and reform the current “hit-to-lead” drug discovery scheme. The company recently received $15 million in funding (including money from Chinese AI/facial recognition company YITU) and is now partnering with Amgen.

Using Artificial Intelligence to Treat Addiction

In this contributed article, digital marketer Tiago Lacerda discusses the various ways AI can be used to help treat addiction. It makes sense that utilizing the potential of AI would reach a hotly discussed but woefully unaddressed issue in societies across the planet: substance abuse and addiction.

Advancements in Health-Related Data Tracking

In this contributed article, freelance human Avery Phillips takes a look at the advancements in health-related data tracking and what they look like. The rise in popularity of wearable devices that are capable of tracking personal health and fitness-related data has been beneficial on both a personal and professional level.

Pattern Computer Comes Out of Stealth Mode and Launches Groundbreaking Pattern Discovery Technology

Pattern Computer, Inc., which has developed a proprietary pattern discovery system to uncover valuable insights from vast data sets, announced a pattern computer system and the public launch of its platform technology after being in stealth mode for the past two years. Pattern discovery is an emerging category – an extension of the machine learning field – that distinguishes itself by using both supervised and unsupervised learning.