Health 2.0 Highlights: November 1st, 2009

Walter Jessen — Mon, 02 Nov 2009 04:30:27 +0000

A Clinical Infusion of Google Wave | phil baumann online
Phil Baumann provides an overview on Google Wave and asks if the underlying technology offers any glimpse into improving clinical collaboration?
Google sidewiki: what can pharma do? | STweM
Andrew Spong ruminates about Google sidewiki and whether pharma will engage in debate regarding comments added to drug information websites.
A TRIP Down Database Lane: A Talk With Jon Brassey | Significant Science
The TRIP Database (Turning Research Into Practice) is a clinical search tool designed to allow health professionals to rapidly identify the highest quality clinical evidence for clinical practice. Hope Leman interviews one of the founders of the TRIP database, Jon Brassey.
Over 400 Hospitals use Social Media | Found In Cache
Ed Bennett reports that over 400 hospitals in the U.S. are now using some form of Social Media.
Behavior Change: A Central Topic at Health 2.0 | The Decision Tree
Social contagion is of great relevance to health and was a central topic at the Health 2.0 conference last month.
Health 2.0 Conference Day 2: Consumer Aggregators | The Decision Tree
The world is becoming increasingly mobile. Several consumer aggregator applications presented at the Health 2.0 conference are focused on "on-demand" information and will enable patients to harness their medical data.

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Digital Pathology and Visuvi Visual Search

Walter Jessen — Thu, 13 Aug 2009 15:07:05 +0000

At the 2009 JavaOne Conference in June, Visuvi Inc., a Redwood City, California-based company developing visual search solutions, announced a Java-based visual search technology that integrates a JavaFX front-end with PathXchange, a Web 2.0 pathology portal. The Visuvi Java application enables medical professionals to take a digital biopsy image of 50,000 x 60,000 pixels (that’s 3000 mega pixels) and search medical images in leading databases for similarities.

The power of this technology is that the medical images in the databases have corresponding case information. Thus, images that are found to be similar also provide information on patient diagnosis, treatments, outcomes, etc. This is particulary useful in oncology since, in more cases than you’d expect, pathologists disagree on whether a particular image shows cancer or not [1-3]. By comparing pathology images, the technology greatly accelerates the review process and allows a diagnosis to be more objective than what is currently done.

Check out their demo at the conference in the video below. James Gosling (the inventor of Java) was clearly impressed with the significance of the technology. Chris Boone, CEO and president of Visuvi, and Florian Brody, VP Marketing, highlighted and captured a section of an actual prostate cancer biopsy image and searched 90,000 images in 0.3 seconds to find related patient cases.

PathXchange is a not-for-profit professional networking portal for the global pathology community. PathXchange brings the field of pathology into the digital age with Web 2.0 features designed to promote exchange of pathological cases, knowledge and information, combining the elements of a case gallery, community content contribution and professional networking.