MIT: MIMIC Chest X-Ray database to provide researchers access to over 350,000 patient radiographs

MIT: MIMIC Chest X-Ray database to provide researchers access to over 350,000 patient radiographs. “Last week, the MIT Laboratory for Computational Physiology, a part of the Institute for Medical Engineering and Science (IMES) led by Professor Roger Mark, launched a preview of their MIMIC-Chest X-Ray Database (MIMIC-CXR), a repository of more than 350,000 detailed chest X-rays gathered over five years from the Beth Israel Deaconess Medical Center in Boston.” Note this seems to be substantially larger than the NIH chest x-ray data set released in 2017..

EurekAlert: Artificial intelligence can dramatically cut time needed to process abnormal chest X-rays

EurekAlert: Artificial intelligence can dramatically cut time needed to process abnormal chest X-rays . “New research has found that a novel Artificial Intelligence (AI) system can dramatically reduce the time needed to ensure that abnormal chest X-rays with critical findings will receive an expert radiologist opinion sooner, cutting the average delay from 11 days to less than 3 days. Chest X-rays are routinely performed to diagnose and monitor a wide range of conditions affecting the lungs, heart, bones, and soft tissues.”

Science Blog: Artificial Intelligence And The Future Of Medicine

Science Blog: Artificial Intelligence And The Future Of Medicine. “Washington University researchers are working to develop artificial intelligence (AI) systems for health care, which have the potential to transform the diagnosis and treatment of diseases, helping to ensure that patients get the right treatment at the right time.”

Scope Stanford: New algorithm could accelerate diagnosis of genetic diseases using clinical records

Scope Stanford: New algorithm could accelerate diagnosis of genetic diseases using clinical records. “In a continued effort to speed up the diagnostic process of severe genetic diseases, Stanford’s Gill Bejerano, PhD, and his colleagues have developed a new algorithm that can quickly locate important disease-related information within a patient’s medical record.”

MIT Technology Review: Your smartphone’s AI algorithms could tell if you are depressed

MIT Technology Review: Your smartphone’s AI algorithms could tell if you are depressed. “Depression is a huge problem for millions of people, and it is often compounded by poor mental-health support and stigma. Early diagnosis can help, but many mental disorders are difficult to detect. The machine-learning algorithms that let smartphones identify faces or respond to our voices could help provide a universal and low-cost way of spotting the early signs and getting treatment where it’s needed. “

EurekAlert: Deep learning can distinguish recalled-benign mammograms from malignant and negative images

EurekAlert: Deep learning can distinguish recalled-benign mammograms from malignant and negative images . “An artificial intelligence (AI) approach based on deep learning convolutional neural network (CNN) could identify nuanced mammographic imaging features specific for recalled but benign (false-positive) mammograms and distinguish such mammograms from those identified as malignant or negative.”