What is Artificial Intelligence? A brief history of AI
Artificial Intelligence is the ability of a computer to do tasks that mimic human intelligence and discernment. Although there are no AIs that can perform the wide variety of tasks an ordinary human can do, some AIs can match humans in specific analytical tasks.
A bit of history:
Artificial intelligence is based on the assumption that a human’s thought processes can be reproduced. Very early on in ancient Egyptian times they built statues which visually captured very real minds, capable of wisdom and emotion. Legends say they possessed magical abilities to answer questions put to them.
When the concept of a programmable digital computer was first conceived in the 1940’s a handful of scientists began to discuss the possibility of building an electronic brain. In 1950, an english computer scientist, Alan Turing developed the “Turing test” to see if a machine could replicate human language well enough to be confused for a human.
In 1956 a group of scientists attended a workshop at Dartmouth College. It was here that the term “artificial intelligence” was devised based on the concept that human intelligence is the “real” intelligence and humans are the creators of “artificial” machines, thus giving them the ability to make decisions. The attendees predicted that a machine as intelligent as a human being would exist within the next generation and research was funded millions of dollars to make this happen.
In 1958 at the Cornell Aeronautical Laboratory Frank Rosenblatt developed the perceptron algorithm, Rosenblatt’s perceptron algorithm mathematically simulates neural networks that all computer vision AI uses and actually mimic’s the human brain frontal lobe (where the vision is). This started the technology direction of artificial intelligence.
AI started being considered for the use in mammography in 1994. Doctors and researchers were motivated by problems associated with the routine viewing of large volumes of screening mammograms. As mammography screening became digital, researchers realized that the primary limitation of this was the ability for the computer to store such large amounts of data that was necessary to process and store images. Once again time lagged until technology could catch up.
Technology today:
On June 2, 2017 Therapixel Inc. (the parent company of the MammoScreen® product) was announced as the winner of the first phase of its DREAM Digital Mammography (DM) Challenge which developed algorithms that had 5% fewer false-positive errors in breast cancer screenings than other recently published state of the art computerized methods. More than 120 independent teams of data experts from inside and outside the medical imaging field participated in the challenge. Recent studies have proven digital mammography in conjunction with AI software, could reduce a radiologists workload* up to 29.7% and a reduction in recalls of 27%.
Why this is important:
This technology assures the radiologist and patient that they are getting the very best chance of a cancer being detected. Detecting cancer early allows treatment to be more effective and less invasive. AI is clinically proven to improve radiologist’s accuracy and workflow. MammoScreen® is the best solution to ensure this.
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*www.ncbi.nlm.nih.gov/pmc/articles/PMC8082372/