The rapid growth of machine learning has brought a major surge in the field of radiology, transforming diagnostic operations and imaging applications with advanced algorithms and processes. However, radiologists and imaging experts are only aware of the advantages of harnessing machine learning. They lack knowledge of the challenges that come with embracing the technology, how […]
Tag: healthcare
How Radiologists Can Minimize Distractions, Reduce Burnout and Become More Efficient
Burnout is a major issue that affects radiologists more than medical practitioners in any other specialty. Several factors contribute to exhaustion in the medical profession but radiologists face the major impact because of great pressure to perform more in lesser time. Bureaucratic workload, lack of autonomy in their field, and their compensation related directly to […]
FDA Grants Clearance to AI-Powered Imaging System
Subtle Medical Inc., a California-based medical device company, has received clearance 510(k) from the U.S. Food and Drug Administration (FDA) to market its SubtlePET solution. SubtlePET is an Artificial Intelligence (AI)-powered advanced imaging system that allows the healthcare providers to improve image quality with the aid of Positron Emission Tomography (PET) scans. This would lead […]
Five Challenges Deep Learning Faces in Medicine
Deep learning in healthcare is a revolution that helps uncover the hidden patterns and opportunities in clinical data, allowing medical practitioners to provide better treatment to their patients. However, like any other technology solution, deep learning techniques face numerous challenges that should be overcome before it can be implemented in mission-critical medical applications. What is […]
Artificial Intelligence Poised to Turbocharge Healthcare IT Market in 2019
The use of artificial intelligence (AI) is predicted to revolutionize the health care IT industry in 2019. Facilitated by improved data storage in the “cloud” and the vast amounts of data generated by the Internet of Things, AI allows health care providers to sort through a treasure trove of data far more quickly than was […]
The Effects of Artificial Intelligence on The Healthcare Field
Artificial intelligence is expected to revolutionize the medical industry in the near future. Venture capitalists are currently seeing the field as a realistic way to disrupt the economy and make extraordinarily large leaps in progress towards better treatment for patients. AI startups are no longer seen as risky, long-shot investments. Rather, they’re being treated as […]
HIPAA, HITECH, and Omnibus
Introduction With the perverse adoption of innovative technologies such as cloud computing in the healthcare industry, there was a need for some strict guidelines to monitor and govern organizations that have access to Protected Health Information (ePHI). The HIPAA, HITECH and the Omnibus rules are three words that form the baseline for bringing sanity in […]
What Can Be Done to Fight Higher Health Care Deductibles?
While the surging popularity of high-deductible plans is a positive sign which indicates that more patients are taking financial responsibility for their healthcare, this change should concern healthcare providers as it brings along some adverse effects. On the surface, the increasing consumer interest in HDHPs seems to be a good thing for the healthcare industry […]
Polyp detection with AI
If you have never thought about getting a colonoscopy, this article is for you. According to the CDC (Centers for Disease Control), colorectal cancer ranks as the second leading cause of cancer deaths in America. The best way to avoid becoming another statistic is by being screened, especially if you’re a man over the age […]
EMR: Good or bad for medicine?
Aesop said that we often despise what’s most useful to us, but Aesop also said that it is possible to have too much of a good thing. Perhaps, no two quotes could be more relevant to how EMRs and EHRs are impacting healthcare workers. What do doctors and nurses really think? What do the numbers […]