The need to make sense of big data is quickly becoming an imperative in the healthcare industry, demanding a degree of time, skill, attention, and resources that many providers simply do not have to spare. Three-dimensional (3D) visualization techniques for medical images are intending to bridge the gap between medical experts and visualization researchers. Medical experts are too often unaware of the many advanced 3D medical image visualization techniques that could increase their capabilities in data analysis and assist the decision-making process for specific medical problems. EurekAlert! brought this interesting information to us in their article, “A review of 3D visualization techniques of medical images written for health professionals.”

Extracting complex data from a diverse set of data sources to carry out an insightful analysis can be a challenging task. Data visualization in healthcare works as it does at large: providing insight into patterns and correlations, making data analysis more efficient and highlighting takeaways.

Data Harmony is Access Innovations’ artificial intelligence (AI) suite of tools that leverage explainable AI for efficient, innovative and precise semantic discovery of new and emerging concepts to help find the information you need when you need it. We classify your data within the context of your particular industry and unique data situation, so that the enriched content can be used for analysis and a deeper understanding of your knowledge base.

Melody K. Smith

Data Harmony is an award-winning semantic suite that leverages explainable AI.

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