Tag: Informatics

Cloud Tech for Life Sciences Research: Interview with Kara Dennis, Managing Director of mHealth at Medidata Solutions

Medidata Solutions is a global provider of cloud-based technology and data analytics for clinical research. They work with a variety of life sciences clients who conduct studies to gather, store and analyze data to help assess the safety and efficacy of their products before bringing them to market. Amassing and securely storing the enormous amount (Read more...)

VoxelCloud Automated Medical Image Analysis: Interview with Xiaowei Ding, CEO of VoxelCloud

VoxelCloud, a startup based out of Los Angeles and with a presence in Suzhou and Shanghai, China, has developed a suite of artificial intelligence and cloud computing technologies to assist doctors in interpreting medical images. The technology provides fully automated medical imaging analysis, and can be used with various imaging techniques, such (Read more...)

Augmented Reality System to Help Understand Medical Conditions and Assist in Patient Education

At the Birmingham City University in the United Kingdom researchers are working on an augmented reality system that would help clinicians manipulate and interact with patient imaging scans, related anatomical models, and data from electronic medical records. Many practical use cases for this technology is envisioned, including helping to relay (Read more...)

Using Watson to Diagnose Skin Cancer: Interview with IBM Computer Vision Scientist, Noel Codella

With an approximate 100,000 people in the US diagnosed with melanoma each year and a total of 5 million diagnosed with a variety of other skin cancers, a lot of research has gone into improving current methods of early detection and speeding up diagnoses. Unfortunately, in addition to a highly-trained pair of eyes and significant […]

Infervision’s Artificial Intelligence Software Detects Suspected Tumors on Standard Imaging Scans

Infervision, a Chinese company, has been integrating deep learning artificial intelligence to the practice of radiology in order to improve the detection rates of early stage tumors. The technology relies on analyzing tens of thousands of X-rays and CT scans that have been used to perform a diagnosis and to use that base of knowledge […]

Health Datapalooza 2017 Day 2: Consumer Tech Ecosystems, Healthcare Policy and Two Big RWJF Announcements

Ensuring that a conference discussing health did indeed practice what it preached, day two of this year’s Health Datapalooza got off to an early start with a Stride Health-sponsored 3 and 5 mile fun run. Back at the conference venue, the day’s content began on the main stage with Dr. Mark McClellan, Director of the Duke […]

DELTA Software Improves Detection of Safety Differences in Medical Devices: Interview with Dr. Frederic Resnic

Researchers are solving the issue of chronic underreporting of medical device adverse events. In the New England Journal of Medicine last month, they described their use of DELTA (Data Extraction and Longitudinal Analysis), a statistics software that prospectively monitors safety events stored in registries and databases. Moving forward&n (Read more...)

Neural Network Learns to Diagnose Congenital Catracts

In two newly published studies in Nature Biomedical Engineering, researchers trained a neural network to diagnose congenital cataracts with the same level of accuracy as individual ophthalmologists. Congenital cataracts is a rare disease that results in clouding of the eye’s lens and is responsible for about 10% of childhood vision loss (Read more...)

A Specialized and Structured EMR: Interview with Modernizing Medicine Co-Founder and CEO, Daniel Cane

In large part due to 2009′s Health Information Technology for Economic and Clinical Health (HITECH) Act, there has been a proliferation of electronic medical record systems. Many of the largest providers, such as Johns Hopkins and Kaiser Permanente, have seen a consolidation onto large systems like Epic, while many small to middle-sized provi (Read more...)