Every October for the last four decades, Breast Cancer Awareness Month has helped to raise visibility of the most prevalent cancer on Earth -- one that takes almost three-quarters of a million lives every year. Despite recorded cases stretching back to ancient Egypt, breast cancer was considered an "unspeakable" condition for millennia. Women were expected to suffer in silence and "dignity." This stigma fueled academic ignorance, with breast cancer languishing as a relatively unstudied disease until just a few decades ago. For most of the last century, a woman suffering from breast cancer would be offered radiation therapy and/or surgery -- often radical surgery, leaving them disfigured for little benefit -- while the treatment of other cancers progressed.
Radiologists still outperform artificial intelligence when it comes to breast cancer screening, a new paper shows. Many countries have mammography screening programs to detect and treat breast cancer early. However, examining mammograms for early signs of cancer means a lot of repetitive work for radiologists, which can result in some cancers being missed, the authors explained. Previous research has suggested that perhaps AI systems might even outperform people in this task -- and might soon replace radiologists. But good quality evidence to support the use of AI instead of experienced radiologists is lacking, according to researchers who reviewed 12 studies conducted since 2010.
Artificial intelligence technology is set to support breast cancer screening in Ireland. The Mia (Mammography Intelligent Assessment) tool uses cutting-edge AI technology to support radiologists examining breast images. It assists radiologists in the process of reading mammograms, acting as an independent "second reader" of the images. Developed by UK-based applied science company Kheiron Medical Technologies, it has now been made available across the island of Ireland through medical supply company Hospital Services Limited (HSL). With bases in Dublin and Belfast, HSL distributes medical supplies and surgical equipment to public and private hospitals across the UK and Ireland.
For the doctors of the future, and their creators, the re-invention of the healthcare system must begin with those working on the frontline. WIRED and HP present ten innovators developing the artificially intelligent, entrepreneurial, and on-demand doctors who are set to transform the delivery of healthcare. Subjectivity is the last quality you want in medical diagnosis, but with complex noisy scans an objective conclusion can be hard to come by. At the University of Copenhagen's department of computer science, Mads Nielsen is working on the use of machine learning to provide automatic, accurate and quantitive analyses of common medical imagery. Applications including screening for breast cancer risk in mammograms, Alzheimer's development in brain MRI scans, and arthritis in hand and knee MRI images, are being developed through his spin-out company, Biomediq.
UK researchers have secured government funding to study the use of artificial intelligence for breast cancer screening in NHS hospitals. The work builds on previous research which showed that artificial intelligence could be as effective as human radiologists in spotting breast cancer from X-ray images. Backed by funding through the Artificial Intelligence in Health and Care Award, the next stages of the project aim to further assess the feasibility of the AI system to see how the technology could be integrated into the national screening programme in the future to support clinicians. The partnership, which includes Imperial College London, Google Health, Imperial College Healthcare NHS Trust, St George's Hospitals NHS Foundation Trust, and the Royal Surrey NHS Foundation Trust builds on previous work, in which the researchers trained the algorithm on depersonalised patient data and mammograms from patients in the UK and US. The findings, published in Nature in January 2020, showed the AI system was able to correctly identify cancers from the images with a similar degree of accuracy to expert radiologists, and demonstrated potential to assist clinical staff in practice.
Figure is taken from [Free21a]. It shows some potential roles of AI in screening pathway. The current review "Use of artificial intelligence for image analysis in breast cancer screening" looked at the evidence on: Based on the current evidence, the UK NSC does not recommend using AI in the NHS breast cancer screening programme. However, this is only a "Rapid Review", that was published a couple of days ago. It is for open consultation (the committee is inviting comments).
Artificial Intelligence is being taught to look for signs of breast cancer from mammograms to help radiologists spot diseased cells from benign findings. Scientists from French company Therapixel, responsible for the new AI software, say it can improve radiologists' abilities to diagnose more efficiently and accurately. Breast cancer is the most common cancer in the UK, accounting for 15 per cent of all new cancer cases in 2017 with 54,700 cases annually in women and 390 in men. Breast cancer screening with mammography has been shown to improve prognosis and reduce mortality by detecting disease at an earlier, more treatable stage. But many cancers are missed on screening mammography, and suspicious findings often turn out to be benign - this new tool can enhance the differences between benign and dangerous findings and speed up workflow for radiographers.
Once again, artificial intelligence shows its potential for sifting through massive amounts of medical test data to deliver actionable results, this time with COVID-19 screening in hospitals and emergency departments. We've written numerous posts about AI applications in medicine, often for diagnostics. For example, we covered AI assisting with autism spectrum disorder diagnosis at the University of California Davis and Google Health's success with AI deep learning to improve breast cancer detection. A group of researchers from Oxford University and Harvard University developed two AI models for COVID-19 early-detection using routinely collected data in hospital emergency departments (EDs) and hospital admissions. Information is available in a research study preprint from medRxiv and bioRxiv.
Artificial Intelligence (AI) has taken radiology by storm, in particular, mammogram interpretation, and we have seen a recent surge in the number of publications on potential uses of AI in breast radiology. Breast cancer exerts a lot of burden on the National Health Service (NHS) and is the second most common cancer in the UK as of 2018. New cases of breast cancer have been on the rise in the past decade, while the survival rate has been improving. Source: Artificial Intelligence: Is It Armageddon for Breast Radiologists?