How an AI platform could help create better Screening Campaigns

The majority of global disease burden and mortality are caused by non-communicable diseases. However, a sizable portion of patients in both high-income nations and low-income and middle-income countries are still uninformed that they have these life threatening illnesses.

Many diagnostic systems are extremely costly, invasive, or need skilled healthcare professionals to operate, making their use in environments with limited resources impossible.
AI software for lung nodule evaluation utilizing deep learning (DL) could be able to recognize certain patterns in imaging data and provide outstanding results.

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How AI prevents burnout in healthcare

While the current literature is vague when it comes to explain burnout, the World Health Organization (WHO) defines it as “a syndrome conceptualized as a result of chronic stress at work, which has not been successfully managed.”

Burnout can manifest itself in several ways, such as feeling overwhelmed, cynicism, physical or emotional exhaustion, and inefficiency.

This phenomenon can lead to many health problems for radiologists, including sleep deprivation, substance abuse, depression and cardiovascular problems, among others. At the same time, there is a decrease in productivity, which can lead to medical errors.

For this problem to go away, we need to focus on improving collaboration in the workplace, assessing the risk factors that can cause burnout, and accepting the limitations of a radiologist’s abilities.

XVision was designed to assist radiologists in their mission. Our suite of X-ray imaging and CT scans is seamlessly integrated into your doctor’s and hospital’s workflow. It is an additional brain that allows you to increase the ability to analyze and reduce the amount of work.

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The Complete Guide to Lung Cancer Detection and How AI could Improve Outcomes

Lung cancer is the most common cancer-related cause of death for both men and women, killing more than 1 million people annually. More individuals pass away from it than from the combined deaths from the next three major types of cancer: breast, colon, and prostate cancer.
Unfortunately, it has a poor prognosis despite improvements in surgical methods and combination therapy. Recent developments in medical imaging technology, such as CT nodules detections through AI algorithms, have made it possible to create 3D images that are more comprehensive. This allows for improved evaluation of a lesion’s evolution using comparison-based automated measures.

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