A team at UCF’s Center for Research in Computer Vision have created an system that can detect trace amounts of lung cancer with 95 percent accuracy.
Doctors may soon have help in the fight against cancer thanks to the UCF’s Center for Research in Computer Vision.
Engineers at the center have taught a computer how to detect tiny specks of lung cancer in CT scans, which radiologists often have a difficult time identifying. The artificial intelligence system is about 95 percent accurate, compared to 65 percent when done by human eyes, the team says.
“We used the brain as a model to create our system.” – Rodney LaLonde, a doctoral candidate
“We used the brain as a model to create our system,” says Rodney LaLonde, a doctoral candidate and captain of UCF’s hockey team. “You know how connections between neurons in the brain strengthen during development and learn? We used that blueprint, if you will, to help our system understand how to look for patterns in the CT scans and teach itself how to find these tiny tumors.”
The approach is similar to the algorithms that facial-recognition software uses. It scans thousands of faces looking for a particular pattern to find its match.
Engineering Assistant Professor Ulas Bagci leads the group of researchers in the center that focuses on AI with potential medical applications.
The group fed more than 1,000 CT scans – provided by the National Institutes of Health through a collaboration with the Mayo Clinic – into the software they developed to help the computer learn to look for the tumors.
Graduate students working on the project had to teach the computer different things to help it learn properly. Naji Khosravan, who is pursuing his doctorate degree, created the backbone of the system of learning. His proficiency at novel machine learning and computer vision algorithms led to his summer as an intern at Netflix helping the company with various projects.
“Lung cancer is the number one cancer killer in the United States and if detected in late stages, the survival rate is only 17 percent.” – Engineering Assistant Professor Ulas Bagci
LaLonde taught the computer how to ignore other tissue, nerves and other masses it encountered in the CT scans and analyze lung tissues. Sarfaraz Hussein who earned his doctorate degree this past summer, is fine-tuning the AI’s ability to identify cancerous versus benign tumors, while graduate student Harish Ravi Parkash is taking lessons learned from this project and applying them see if another AI system can be developed to help identify or predict brain disorders.
“I believe this will have a very big impact,” Bagci says. “Lung cancer is the number one cancer killer in the United States and if detected in late stages, the survival rate is only 17 percent. By finding ways to help identify earlier, I think we can help increase survival rates.”
The team will present its finding in September at the largest premier conference for medical imaging research – the MICCAI 2018 conference in Spain. The team’s work has been published in advance of the conference.
The next step is to move the research project into a hospital setting; Bagci is looking for partners to make that happen. After that, the technology could be a year or two away from the marketplace, Bagci says.
“I think we all came here because we wanted to use our passion for engineering to make a difference and saving lives is a big impact,” LaLonde says.
Ravi Prakash agrees. He was studying engineering and its applications to agriculture before he heard about Bagci and his work at UCF. Bagci’s research is in the area of biomedical imaging and machine learning and their applications in clinical imaging. Previously, Bagci was a staff scientist and the lab manager at the NIH’s Center for Infectious Disease Imaging lab, in the department of Radiology and Imaging Sciences.
The Latest on: Artificial intelligence diagnostics
via Google News
The Latest on: Artificial intelligence diagnostics
- PathAI raises $60 million for AI pathology and diagnostic tools on April 17, 2019 at 9:24 am
PathAI, a startup that employs machine learning techniques to improve diagnostic accuracy ... pathology and the application of artificial intelligence there is an opportunity to increase ... […]
- Gestalt Diagnostics to Participate in Panel Discussion on Digital Pathology During the 2019 Executive War College on April 17, 2019 at 9:00 am
April 17, 2019 /PRNewswire/ -- Gestalt Diagnostics' COO and Chief Strategy Officer ... of dollars being invested in developing digital pathology systems and artificial intelligence products designed ... […]
- CENTOGENE AG: CENTOGENE Appoints AI Industry Leader Dr. Carsten Ullrich as Director of Artificial Intelligence on April 17, 2019 at 6:44 am
Research Fellow from German Research Center for Artificial Intelligence to Lead Team Driving Solutions ... The company's AI initiative is also instrumental in enhancing diagnostic effectiveness and ... […]
- Aidoc Raises $27 Million to Expand Its Life-saving Artificial Intelligence Solutions by 700% Across Medical Imaging on April 17, 2019 at 6:00 am
Aidoc's FDA-cleared and CE-marked solutions support and enhance the impact of radiologist diagnostic power, helping them expedite patient treatment and improve quality of care. Radiologists benefit ... […]
- Workshop explores the future of artificial intelligence in medical imaging on April 16, 2019 at 10:07 pm
to explore the future of artificial intelligence (AI) in medical imaging ... The organizers aimed to foster collaboration in applications for diagnostic medical imaging, identify knowledge gaps and ... […]
- General Atlantic Backs PathAI to Improve Diagnostics on April 16, 2019 at 9:34 pm
But meanwhile, they are turning to artificial intelligence-powered programs that can turbocharge the research and testing of new treatments. Venture investors are betting that PathAI Inc. will bring ... […]
- Artificial intelligence performs as well as experienced radiologists in detecting prostate cancer on April 16, 2019 at 6:09 am
The research suggests that an artificial intelligence system could save time and potentially provide diagnostic guidance to less-experienced radiologists. The study’s senior authors are Kyung Sung, ... […]
- Artificial Intelligence Powering Boom in Israel's Digital Health Sector on April 16, 2019 at 4:05 am
Of the $511M, over 50% ($285M) went to companies in decision support and diagnostics which rely heavily on data ... allowing startups an increased ability to train and test artificial intelligence ... […]
- Automotive Diagnostics Market To Reach USD 55.6 Billion By 2026| Reports And Data on April 15, 2019 at 9:06 am
Market Size – USD 39.1 Billion in 2018, Market Growth - CAGR of 4.4%, Market Trends –Increasing innovations in artificial intelligence NEW YORK, April 15, 2019 (GLOBE NEWSWIRE) -- The global ... […]
- Could artificial intelligence save the Pentagon $15 billion a year? on April 15, 2019 at 8:52 am
An artificial intelligence company specializing in predictive analytics ... “We will use AI to predict the failure of critical parts, automate diagnostics, and plan maintenance based on data and ... […]
via Bing News