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Classification of Diagnostic Imaging Text Reports – Feasibility Study

R&D Report #141 George Cernile, Tenzin Zingshuk June 13, 2016 Purpose Diagnostic imaging procedures are used extensively in the diagnosis and characterization of cancers. The purpose of this study was to determine the feasibility of adopting existing AI technologies to automatically identify reports of cancer in selected types of examinations. The principal objective is

Practical A.I. – Part 2 – The Warning

By Jack Golabek, February 6, 2017 In October 2014, speaking to students at MIT, Elon Musk (CEO of SpaceX and Tesla) proclaimed that A.I. was the greatest threat to mankind, saying “I think we should be very careful about artificial intelligence. If I had to guess at what our biggest existential

Practical A.I. – Part 1 – Doing vs. Knowing

By Jack Golabek, February 1, 2017 In some sense, the term “artificial intelligence” is an unfortunate one.  What does artificial mean in this context?  If we take the standard definition, then it means unreal, unnatural, false, manufactured, and synthetic.  But if that is so, then what is real, genuine, or natural

The Data Warehouse, The Data Lake, and Abrevio

There’s a scene at the end of the film “Raiders of the Lost Ark” where the long sought after ark of the covenant is packed in a wooden crate and consigned to a massive military warehouse among thousands of similar crates, presumably for safekeeping, but more likely to be forgotten

Introducing Abrevio

Abrevio is AIM’s new software solution for document auto-abstracting and cancer data consolidation. Using an advanced A.I. engine, Abrevio extracts and attributes values from the content of electronic documents such as pathology reports, and auto populates fields in created forms (ie. standard NAACCR record). The result of this process is