Health systems are multi- faceted and continually changing across a variety of contexts and health service levels. For example one of the critical challenges of the resource deficient public health infrastructures worldwide is the spread of the communicable diseases. As seen during the outbreaks of the fatal communicable diseases like Severe Acute Respiratory Syndrome (SARS) in 2003, H1N1 in 2009, the Zika virus in 2016, Ebola and Middle East respiratory syndrome (MERS) in 2014, and the Nipah virus in 2018, infectious diseases can spread rapidly within the countries as well as across the national borders. Artificial intelligence (AI) has been making its way into the healthcare sector, presenting a variety of possibilities in disease diagnosis, treatment, and prevention. The adoption of artificial intelligence in the healthcare sector is growing substantially.
Artificial Intelligence has been around for quite some time and its potential to transform our lives has been frequently debated. Powered by the growth of abilities in computational hardware and related algorithm development, AI research programs have ebbed and flowed. The use of AI in healthcare in India is steadily increasing with new startups and large ICT companies providing AI solutions to combat healthcare challenges in the country. The companies are offering a broad scope of solutions including automation of medical diagnosis, automated analysis of medical tests, detection and screening of diseases, wearable sensor based medical devices and monitoring equipment, patient management systems, predictive healthcare diagnosis and disease prevention. A challenge has been cited quite often while developing these solutions.
Just like every other industry, the healthcare industry is taking advantage of the use of new technologies such as artificial intelligence. In 2016, it was reported that 86% of organisations were using artificial intelligence in healthcare. Furthermore, spending on AI healthcare in organisations will increase to an average of $54 million by 2020. So, where are you most likely to see artificial intelligence in healthcare? Here are ten of the most popular uses for AI healthcare and where it has the potential to change the industry.
The problems that occur in healthcare are often complex and challenging to describe. On the one hand, the dynamic development of medicine encourages the search for new models of diagnostic and therapeutic procedures. Still, on the other hand, ever-larger datasets make it difficult to explore and analyze. Hence, the healthcare industry is becoming more and more interested in machine learning. Machine learning is a rapidly growing field of research with a great future.
In the past few years, the healthcare industry has undergone an ample amount of changes. These changes are more in the ways how the healthcare industry stores data. Moving backward in our distant past, remind us of the old paper-based method to keep health records. It doesn't exist anymore in our present. Instead, we have new data-keeping methods, i.e., online digital records where storing & sharing information is easy.