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How AI Is Changing Medical Imaging to Improve Patient Care
That doctors can peer into the human body without making a single incision once seemed like a miraculous concept. But medical imaging in radiology has come a long way, and the latest artificial intelligence (AI)-driven techniques are going much further: exploiting the massive computing abilities of AI and machine learning to mine body scans for differences that even the human eye can miss. Imaging in medicine now involves sophisticated ways of analyzing every data point to distinguish disease from health and signal from noise. If the first few decades of radiology were about refining the resolution of the pictures taken of...
Source: TIME: Health - November 4, 2022 Category: Consumer Health News Authors: Alice Park and Video by Andrew D. Johnson Tags: Uncategorized Frontiers of Medicine 2022 healthscienceclimate Innovation sponsorshipblock Source Type: news

Sex Difference of Radiation Response in Occupational and Accidental Exposure
Conclusion and Outlook This review summarizes the data from major human studies on the health risks of radiation exposure and shows that sex can potentially influence the prolonged response to radiation exposure (Figure 1 and Tables 1, 2). These data suggest that long-term radiosensitivity in females is higher than that in males who receive a comparable dose of radiation. Our analysis of the literature agrees with the conclusions of the recent report on the Biological effects of ionizing radiation (BEIR VII) published in 2006 by the National Academy of Sciences (NAS), United States (National Research Council, 2006). The B...
Source: Frontiers in Genetics - May 2, 2019 Category: Genetics & Stem Cells Source Type: research

Consider the Promises and Challenges of Medical Image Analyses Using Machine Learning
Medical imaging saves millions of lives each year, helping doctors detect and diagnose a wide range of diseases, from cancer and appendicitis to stroke and heart disease. Because non-invasive early disease detection saves so many lives, scientific investment continues to increase. Artifical intelligence (AI) has the potential to revolutionize the medical imaging industry by sifting through mountains of scans quickly and offering providers and patients with life-changing insights into a variety of diseases, injuries, and conditions that may be hard to detect without the supplemental technology. Images are the largest source...
Source: MDDI - June 2, 2020 Category: Medical Devices Authors: Partha S. Anbil and Michael T. Ricci Tags: Imaging Source Type: news