Artificial Intelligence and Information Technology
Artificial intelligence (AI) and machine learning is on the anvil of revolutionizing healthcare sector in the immediate future. In essence, Al is the simulation of human intelligence processes by machines, especially computer systems These processes include learning-primarily the acquisition of information and rules for using the information; reasoning—which implies using rules to reach approximate or definite conclusions; and self-correction—learning correction algorithms based on experience.
Leveraging this technology, long term clinical laboratory and imaging data can be employed to build robust clinical algorithms determining robust pathways to diagnosis and best lines of treatment paving way for precision medicine and delivery of evidence-based medicine.
Many such pilot projects have produced encouraging results. Researchers from All India Institute of Medical Sciences, Delhi and Indraprastha Institute of Information Technology, Delhi have recently collaborated on a project that employed thermal images and Al to predict hemodynamic shock -insufficient blood flow and oxygen supply to organs – known to produce multi-organ failure.
The Al-based technology could preempt the diagnosis much before the first clinical signs had showed up. The system, tried on children between the age group of 10-15, had a success rate of 69% with algorithms predicting the condition 12 hours in advance, allowing timely interventions. Likewise, researchers from the National Brain Research Centre, and Neuroimaging and Neuro-spectroscopy Laboratory have successfully used Al for early detection of Alzheimer’s disease.
In India’s first ever public-funded AL driven healthcare strategy, the NITI Aayog is in an advanced stage of launching a national repository of annotated and curated pathology images to help oncopathologists use machine learning solutions to its data set called digital pathology for early-stage cancer detection. Similar AI based platforms are in an advanced stage of development in relation to body and brain radiology images, which will make the task of radiologist-physicians simpler and more accurate.
Coupled with the fruitions of information and communication technology and telemedicine, Al is all set to increase the penetration and access of healthcare services across small towns and villages. As the technology matures, it will help reduce the burden of disease and the load on healthcare delivery services through early diagnosis, better clinical outcomes, and shorter recovery times.
Making optimal use of the vast set of clinical data in diverse fields, and allowing hospitals and other stakeholders to access it, the government hopes to make medical care easily accessible and more affordable for millions of people across the country.
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Artificial Intelligence (AI)
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Aw, this was a really great post. In theory Id like to write like this also – taking time and real effort to make a good article but what can I say I procrastinate alot and never seem to get something done.