There have been numerous findings and results from research and trials that have proven the effectiveness of artificial intelligence in the field and practice of medicine in recent years. Results that have not just equated the capabilities of what the human hands could do, but exceed expectations to provide for better medical solutions for man.
What once may have been thought as a specialty field for doctors in clinics and hospitals could now include the skills of a technical support specialist providing IT services Virginia Beach or anywhere else, as information technology meets up with the medical practice.
Artificial intelligence is responsible for enhancing machine-learning capabilities of services and processes in the medical system and has proven it’s worth to enhance efficiencies and eliminate errors for the benefit of humankind.
Smart and efficient AI-driven diagnosis
The findings of a recent study by an AI company and the Moor-fields Eye Hospital in London showed “promising signs” in using three-dimensional retinal scans to detect signs of age-related macular degeneration (AMD), diabetic retinopathy (DR) and glaucoma.
With data was analyzed from thousands of anonymized retinal scans the technology accurately detected eye diseases accurately and rapidly, which could take on the burden of repetitive workloads and reduce pressure from medical specialists.
Future plans for this AI testing technology include radiotherapy scans and mammograms to be conducted by universities and biotech companies. Here are three examples of how it has revolutionized the field of medicine.
Remote capabilities to fill technological gaps
A computer system equipped with artificial intelligence programs was developed by Chinese scientists to accurately diagnose congenital cataracts, possibly even rare eye diseases. Scientists from the Sun Yat-Sen University in Guangzhou, China developed an artificial neural network platform to diagnose congenital cataracts. The software named CC-Cruiser was developed using deep-learning algorithms and works on a convolution neural network designed to analyze how neurons are organized in the region of the brain associated with vision.
The technology could be used as a platform to diagnose congenital cataracts in remote areas with limited access to eye health care and professional support. Since the platform is interconnected, it could easily provide real-time data and feedback from specialty practitioners located remotely.
Reliable and structured database processes
An AI-driven drug discovery platform was developed by a tech company intended at accelerating drug discovery processes. Traditional processes that could take 10 to 15 years would be significantly reduced in a matter of weeks as it quickly filters through 10,000 molecules for each one approved by the Food and Drug Administration.
Developed by tech company Toward, the AI-driven platform can quickly determine drug candidates for in vivo testing in a matter of weeks, which previous researchers found to have high in vivo success rates than traditional approaches. Among the health conditions, the AI-driven platform has proven its mettle in rheumatoid arthritis, liver cancer, and type 2 diabetes.