A research team from Johns Hopkins Kimmel Cancer Center found that the AI blood testing solution was able to detect over 90% of lung cancers in samples from nearly 800 individuals with and without cancer. The research findings have been published in Nature Communications. Known as DELFI (DNA evaluation of fragments for early interception), the test is designed to detect unique patterns in the fragmentation of DNA shed from cancer cells circulating in the bloodstream. Researchers applied the DELFI technology to blood samples taken from 796 individuals in Denmark, the Netherlands, and the USA. They determined that the DELFI approach accurately distinguished between patients with and without lung cancer.

Scientists have developed an artificial intelligence program that can screen people for lung cancer by analysing their blood for DNA mutations that drive the disease. The software is experimental and needs to be verified in a clinical trial, but doctors are hopeful that if it proves its worth at scale, it will boost lung cancer screening rates by making the procedure as simple as a routine blood test. The program works by examining free-floating DNA that circulates in the blood. The majority of this genetic detritus enters the bloodstream when harmless cells in the body break down and spill their molecular innards, but tumours also shed DNA as they form and grow larger. The UK has no national lung cancer screening programme, but is exploring an approach adopted in the US where people who are at high risk, such as older smokers and former smokers, can have low-dose chest X-rays to check their lungs for tumours.

We had to share this one, AI crossing boundaries for the good of the human race. How many more applications of AI will there be in medicine. I am looking forward to the advances in the coming years and hope this sort of technology will be available for the many and not just the few. "Computers were as good or better than doctors at detecting tiny lung cancers on CT scans, in a study by researchers from Google and several medical centers." "The technology is a work in progress, not ready for widespread use, but the new report, published Monday in the journal Nature Medicine, offers a glimpse of the future of artificial intelligence in medicine."

New research from Google shows how machine learning could one day be used to detect signs of lung cancer earlier than often occurs today. Early warning: Danial Tse, a researcher at Google, developed an algorithm that beat a number of trained radiologists in testing. Tse and colleagues trained a deep-learning algorithm to detect malignant lung nodules in more than 42,000 CT scans. The resulting algorithms turned up 11% fewer false positives and 5% fewer false negatives than their human counterparts. The work is described in a paper published in the journal Nature today.

The process, known as deep learning, is already being used in many applications, like enabling computers to understand speech and identify objects so that a self-driving car will recognize a stop sign and distinguish a pedestrian from a telephone pole. In medicine, Google has already created systems to help pathologists read microscope slides to diagnose cancer, and to help ophthalmologists detect eye disease in people with diabetes. "We have some of the biggest computers in the world," said Dr. Daniel Tse, a project manager at Google and an author of the journal article. "We started wanting to push the boundaries of basic science to find interesting and cool applications to work on." In the new study, the researchers applied artificial intelligence to CT scans used to screen people for lung cancer, which caused 160,000 deaths in the United States last year, and 1.7 million worldwide.

A research team from a hospital in Oxford have created artificial intelligence that can diagnose scans for lung cancer and heart disease. The AI system will reportedly help in saving billions of dollars by helping to diagnose the diseases much earlier. NHS hospitals can avail the technology for free, beginning summer 2018, and AI could help in saving the NHS. "There is about £2.2bn spent on pathology services in the NHS. You may be able to reduce that by 50%," said immunologist Sir John Bell.