March 23, 2021
The ability to accurately diagnose, predict patterns and trajectories of diseases in patients is one of the most important aspects of effective healthcare. The early detection of symptoms can help health professionals to administer the correct treatment, take preventive measures and assess the overall condition of the affected person. With the growing use of AI and predictive analytics in the medical field, clinicians have been able to develop and test intelligent tools that can help with the swift identification of illnesses by learning patient information, medical records and real time images.
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March 23, 2021
Workers from all fields have been affected by the distancing policies that followed the COVID-19 pandemic. Some slowed their work pace, others had to stop their production, and a few of them introduced new alternatives to continue their duties respecting the new safety rules. Physicians have come up with countless solutions to fulfill their responsibilities during these difficult times, both to keep treating their patients and find new ways to stop the coronavirus from continuing its course. But doctors also need to be constantly training in order to keep up with the ever changing world of medicine, where new techniques are approved everyday, and this has proven to be a problem in the current state of the world.
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March 23, 2021
The need to distance ourselves due to the COVID-19 pandemic that hit us at the beginning of this year has made experts from the healthcare industry come up with new solutions to accelerate the field and find treatment options for the disease while maintaining the mandatory social distancing rules. Artificial intelligence has been around in medicine for a while now, playing small roles helping with administrative tasks and some other parts of the field. But bigger and better softwares have just recently started launching, thanks to the growing need of clinicians to treat more people in less time, and with better results.
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November 14, 2019
Improvement of the Accuracy of Deep Neural Network Models for Gun Detection Using Synthetic Data
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