Future Healthcare Today curates the latest news and trends in the health IT industry. In this week’s HIT Roundup, we focus on updates in medical imaging technology that includes the conflation of artificial intelligence (AI) and radiology to diagnose pancreatic cancer. We also learn about two new ways that researchers have created to allow for imaging the brain and other living tissue without the need for chemicals or other contrast agents; read on to learn more…
For Some Hard-To-Find Tumors, Doctors See Promise in Artificial Intelligence
Artificial intelligence (AI), which is bringing us everything from self-driving cars to personalized ads on the web, is invading the world of medicine. In radiology, AI increasingly is helping doctors in their jobs. The U.S. Food and Drug Administration (FDA) has approved a computer program that assists doctors in diagnosing strokes and another that helps doctors diagnose broken wrists in X-ray images. A new use for AI seeks to train computers to diagnose one of the deadliest of all malignancies, pancreatic cancer, when the disease is still readily treatable. That’s the vision of Dr. Elliot Fishman, a professor of radiology at Johns Hopkins Medicine in Baltimore. Artificial intelligence and radiology seem like a natural match, since so much of the task of reading images involves pattern recognition. Read the story here.
New Tissue-Imaging Technology Could Enable Real-Time Diagnostics, Map Cancer Progression
A new microscope system can image living tissue in real time and in molecular detail, without any chemicals or dyes. It enables researchers to study concurrent processes within cells and tissue and could give cancer researchers a new tool for tracking tumor progression and physicians new technology for tissue pathology and diagnostics, report researchers at the University of Illinois. The system uses precisely tailored pulses of light to simultaneously image with multiple wavelengths. This enables the researchers to study concurrent processes within cells and tissue and could give cancer researchers a new tool for tracking tumor progression and physicians new technology for tissue pathology and diagnostics. The researchers detailed the technique, called simultaneous label-free autofluorescence multi-harmonic microscopy, in the journal Nature Communications. Read the story here.
Medical Imaging Technology Detects Vascular Disorders, Injuries in Brain Without Invasive Contrast Agents
Purdue University researchers have developed an analytical imaging technology based on functional MRI for detecting and monitoring cerebral vascular disorders and injuries that does not require the use of contrast agents. The new imaging method focuses on tracking an intrinsic blood-related MRI signal, which has been shown to travel with the blood. The signal is used as a natural biomarker to assess blood flow in a patient. Traditional imaging methods, including MRIs, calculate the cerebral circulation time using contrast agents, which are injected into the patient. The measurement can only be made for a few seconds after the injection, but the new method will allow a continuous monitoring of the circulation time. The work has been supported by grants from the National Institutes of Health. A report on the study was published in the Journal of Cerebral Blood Flow and Metabolism. Read about the technology here.
Reducing the Pain of Medical Imaging
One of the pain points introduced by these new medical imaging technologies has nothing to do with the patient. Instead, these new technologies create a pain point for healthcare providers’ IT teams. More and more frequently doctors are taking advantage of collaboration tools – across the hospital and across the world – to address clinical issues as a team and deliver diagnoses and treatment plans more quickly to patients. This drive for collaboration is frequently hampered by the richness of the images, which can quickly consume bandwidth and storage. Newer technologies, such as GPU acceleration, streaming algorithms and faster storage are making it easier for clinicians to share and collaborate to create better patient outcomes. You can find out more here…