Nov 16, 2016 | Instruments & Equipment, Laboratory Instruments & Laboratory Equipment, Laboratory Management and Operations, Laboratory News, Laboratory Operations, Laboratory Pathology, Laboratory Testing
Machine learning software may help pathologists make earlier and more accurate diagnoses
In Boston, two major academic centers are teaming up to apply big data and machine learning to the problem of diagnosing cancers earlier and with more accuracy. It is research that might have major implications for the anatomic pathology profession.
A collaborative effort between teams at Beth Israel Deaconess Medical Center (BIDMC) and Harvard Medical School (HMS) has resulted in an innovation that could result in more accurate diagnoses in the pathology laboratory. The teams have been working on a machine learning software program that will eventually function as an artificial intelligence (AI) to improve the accuracy of diagnostics. They hope to someday build AI-powered computer systems that can accurately and quickly interpret pathology images. (more…)
Jan 7, 2013 | Digital Pathology, Instruments & Equipment, Laboratory Instruments & Laboratory Equipment, Laboratory Management and Operations, Laboratory News, Laboratory Pathology
Existing unstructured anatomic pathology reports would directly benefit from novel word disambiguation approach under development at MIT
Unstructured medical laboratory data is widely recognized to be one significant hurdle on the path toward the universal electronic health record (EHR). This is particularly true for anatomic pathology reports. Despite advances in synoptic reporting, to date, few pathology groups and clinical laboratories have developed ways to resolve this problem.
Now there is news of a different approach toward unstructured healthcare data. Researchers at the Massachusetts Institute of Technology (MIT) have developed a system for algorithmically distinguishing words with multiple possible meanings. The new approach could help find useful information buried in electronic medical records (EHR). (more…)
