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
By Jack Golabek, March 13, 2017 Machine learning is an area of A.I. research that seeks to develop ways in which a computer can produce decision making models by analyzing sets of examples, called training data. Some machine learning techniques are based on logical paradigms, such as rule induction, where rules
In the past, we thought that mutations in cancer genes indicate the presence of cancer. DNA sequencing technology has revealed that these mutations can be found in nearly everyone. The well known phrase, “Cancer affects everyone,” rings true. Whether primarily genetic or lifestyle induced, this complex disease takes 7.6 million lives
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
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
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
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
Congratulations to the Winner of a Drone at the Colorado Cancer Registrars Association Conference 2016!
Congratulations to Amanda Watson, Records Analyst and Abstractor, Wyoming Cancer Surveillance Program, who won this high-flying drone at the Colorado Cancer Registrars Association Conference. Fill out a ballot at one of our upcoming shows and the next winner could be you!