On May 22, the year 2019, more than 400 members of the American College of Radiology (ACR) spoke with the elected federal representatives to discuss four legislative priorities as part of Capitol Hill Advocacy Day at the ACR Annual Meeting. Four legislative issues surrounding health insurance plans and the burden of huge costs on beneficiaries […]
Author: admin
Digitized and Data-driven, Drug Development is Posed for a Major Leap Forward
Drug development is all set to become considerably faster, sharper, and better in times to come. With a perfect innovative idea developing around the combination of Big Data, ingestible and wearable sensors, and monitors, with AI-augmented data analytics, there is hope. According to the authors of a piece published in the Harvard Business Review, on […]
Blockchain could Change Patient Health Records
Personal Health Records, or PHRs, are the most advanced medical records that give patients personalized, fine-grained, and secure access to personal health records. It makes self-management and cares much easier. With the emerging trends around Blockchain and Distributed Ledger Technology, more solutions to technology-enabled nuances, specifically data exchange, data access, and support content, would likely […]
Obesity Causes Advanced Cognitive Decline/Dementia
Both obesity and dementia are associated with increased risks of Alzheimer’s disease (AD) as well as other underlying neurodegenerative diseases. There are several review articles supporting the fact that obesity and dementia lead to an early old-age loss of memory, as evidence. Obesity triggers vascular dementia, which, in turn, decreased blood supply to the brain […]
3 Reasons Why Radiologists do not Need to fear AI and Deep Learning
Deep learning has achieved a certain level of success over time. As a result, several questions are raised in the field of medicine with respect to automation of the several tasks undertaken by radiologists. In an editorial published in the Journal of the American College of Radiology, a radiologist and an author raised the question. […]
Physician Self-referral Bill Draws Praise, Backlash from Medical Societies
On April 19, 2019, a new bill was introduced to Congress with an aim of closing the loopholes in Medicare. The study focused on preventing physician self-referrals specifically for radiation therapy, advanced imaging, physical therapy, and anatomic pathology. This is new legislation placed before the Congress to consider and update Medicare policies. The Promoting Integrity […]
How Environmental, Socioeconomic, Factors Impact Missed Radiology Appointments
No-shows or non-attendance for radiology visits has a negative impact on patients and clinicians. It not only adds to the cost of overall healthcare through wasted resources and poor allocation. Generally, medical imaging departments schedule appointments for all modalities. However, there is still a trend of no-show and it is important to understand the reason. […]
PET Brain Scans Help Connect the Dots between CTE, Tackle Football
According to a study published on April 11, 2019, in the New England Journal of Medicine (NEJM), PET brain scans of former NFL players with neuropsychiatric and cognitive symptoms showed a high level of tau than controls in the brain regions that get typically affected by chronic traumatic encephalopathy (CTE). The Background Chronic traumatic encephalopathy […]
MRI Market Project to Reach $7.5 by 2025
The global market of Magnetic Imaging Resonance (MRI) is predicted to reach USD 7995.1 million in 2025 from a figure of USD 5913.6 in the year 2017. In fact, the magnetic imaging resonance market is also likely to grow with an average CAGR of 3.8% from 2018 to 2025. The health ministry of various countries […]
Reasons Why Radiologists Do Not Need to Fear AI and Deep Learning
Just a few years ago, Artificial Intelligence and Deep Learning were newbies in the field of radiology. But, today, there is hardly any conference that misses the important technological advancements in this field. Many prominent radiologists believe that it is the way forward and radiology must depend on Deep Learning to make further strides in […]