“There is no industry in more need of AI & Automation than healthcare. But we first need to break down data, and workflow silos.”—Alex Meshkin
Technology has had a remarkable influence on extension and enrichment of life. Advancement in biomedicine, such as new drug therapies for auto-immune disorders, and different cancers; to providing a four-dimensional diagnosis, robotic surgery to non-invasive imaging; all these healthcare innovations are having a momentous impact on both healthcare providers and patients. Healthcare industry is being engulfed by hot buzzwords like Machine learning, Artificial intelligence, Deep learning, and Cognitive computing.
The market has seen a tremendous increase in the adoption of electronic records by care providers and there is more usage of connected wearable devices. There seems to be a strong pipeline of technological progress in the country, which comprises of lab research, the life sciences industry, and translational research in academic medicine. This has made integration of AI in the field of medicine almost inevitable. AI is ruling the healthcare sector and has taken over it right from image analysis to data management; it is reshaping the healthcare sector towards a positive change. Both robotics and AI are playing a significant role in progressive development of medicine & patient care, and has become an active part of the healthcare eco-system. One thing is for sure, the future of medicine is shifting and it will encompass additional use of artificial intelligence.
Healthcare Domains that Use Artificial Intelligence
Recently, a report from the Wellcome Trust and Future Advocacy suggested that AI is here to stay and will revolutionize the healthcare sector significantly in the coming years. The report summarizes and examines some of the possible ethical, social, and political effects AI might have on the sector. A few spaces of the healthcare sector that are currently undergoing change are:
AI to Identify & Monitor the Spread of Disease
Certain specialties like Radiation Oncology, Ophthalmology, and so on, have rapidly advanced technologically; there is an increased use of AI through computer mapping. A very low and accurate amount of radiation is applied to the specific area that needs treatment, after which the part is subjected to different levels of radiation. The angles at which the radiation enters the body are noted, and this information is used by the computer systems, along with physicist, to strategize a treatment plan that is complete and tailored to fit the needs of patients.
A great deal of research and work is currently being carried out by several institutions. This will enable computers to determine and detect signs of Cancer at an earlier stage, thereby aiding doctors to use the patient data to make more personalized treatment choices. The prospective for AI-enabled technologies to quickly absorb and comprehend new medical functions, and then analytically provide doctors with the essential facts and figures, could be monumental.
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