by University Health Network Credit: CC0 Public Domain The impact of deploying Artificial Intelligence (AI) for radiation cancer therapy in a real-world clinical setting has been tested by Princess Margaret researchers in a unique study involving physicians and their patients. A team of researchers directly compared physician evaluations of radiation treatments generated by an AI machine learning (ML) algorithm to conventional radiation...
Imagine if you could get vaccinated for cancer. You would just get a shot or a couple of shots and your immune system would learn how to recognize and kill cancer. This sci-fi-sounding idea is not that far from reality. Especially now that scientists at the University of Waterloo have employed machine learning to identify...
RADIOLOGICAL SOCIETY OF NORTH AMERICA IMAGE: OVERVIEW OF THE SCAPHOID FRACTURE DETECTION PIPELINE, WHICH CONSISTED OF A SEGMENTATION AND DETECTION CONVOLUTIONAL NEURAL NETWORK (CNN). A CLASS ACTIVATION MAP IS CALCULATED AND VISUALIZED AS A HEATMAP FOR FRACTURE LOCALIZATION. CREDIT: RADIOLOGICAL SOCIETY OF NORTH AMERICA OAK BROOK, Ill. – An automated system that uses artificial intelligence...
by Peter Jurich, University of Wisconsin-Madison Credit: Pixabay/CC0 Public Domain An analysis of electronic health records for 1.7 million Wisconsin patients revealed a variety of health problems newly associated with fragile X syndrome, the most common inherited cause of intellectual disability and autism, and may help identify cases years in advance of the typical clinical diagnosis. Researchers from...
UNIVERSITY COLLEGE LONDON Scientists at UCL have used artificial intelligence (AI) to identify three new multiple sclerosis (MS) subtypes. Researchers say the groundbreaking findings will help identify those people more likely to have disease progression and help target treatments more effectively. MS affects over 2.8 million people globally and 130,000 in the UK, and is...
CACTUS COMMUNICATIONS IMAGE: Ultrasound is an invaluable diagnostic tool for the early detection of breast cancer, but the classification of lesions is sometimes challenging and time-consuming. Could artificial intelligence hold the answer to solving these problems? CREDIT: CHINESE MEDICAL JOURNAL In 2020, the International Agency for Research on Cancer of the World Health Organization stated that breast...
Reviewed by Emily Henderson, B.Sc. Mar 9 2021 Artificial intelligence can already scan images of the eye to assess patients for diabetic retinopathy, a leading cause of vision loss, and to find evidence of strokes on brain CT scans. But what does the future hold for this emerging technology? How will it change how doctors...
N. Lee@nicole March 8th, 2021 libre de droit via Getty Images Scientists from NVIDIA and Harvard have made a huge breakthrough in genetic research. They developed a deep-learning toolkit that is able to significantly cut down the time and cost needed to run rare and single-cell experiments. According to a study published in Nature Communications, the AtacWorks toolkit can...
by Bob Yirka , Medical Xpress Micrograph showing a lymph node invaded by ductal breast carcinoma, with extension of the tumour beyond the lymph node. Credit: Nephron/Wikipedia A team of researchers with members from institutions in the U.S., Sweden and Taiwan has developed an artificial intelligence system for predicting breast cancer years before tumors appear. In their...
by University of Melbourne Mammograms showing a normal breast (left) and a breast with cancer (right). Credit: Public Domain World-first techniques for predicting breast cancer risk from mammograms that were developed in Melbourne could revolutionise breast screening by allowing it to be tailored to women at minimal extra cost. Published in the International Journal of Cancer, the...
