AI could fundamentally change the nature of patient care delivery. Are consumers and clinicians prepared for this much-anticipated innovation? Today's unprecedented increase in the volume of patient healthcare data has left the industry struggling to put that data to practical use. Artificial intelligence (AI), with its capability to draw "intelligent" inferences based on vast amounts of raw data, may hold the solution. Smart devices and robotics are already making tentative inroads to the healthcare marketplace.
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.
AI applications in healthcare can literally change patients' lives, improving diagnostics and treatment and helping patients and healthcare providers make informed decisions quickly. AI in the global healthcare market (the total value of products and services sold) was valued at $2.4 billion in 2019 and is projected to reach $31.02 billion in 2025. Now in the COVID-19 pandemic, AI is being leveraged to identify virus-related misinformation on social media and remove it. AI is also helping scientists expedite vaccine development, track the virus and understand individual and population risk, among other applications. Companies such as Microsoft, which recently stated it will dedicate $20 million to advance the use of artificial intelligence in COVID-19 research, recognize the need for and extraordinary potential of AI in healthcare.
Artificial Intelligence (AI) is getting increasingly sophisticated day by day in its application, with enhanced efficiency and speed at a lower cost. Every single sector has been reaping benefits from AI in recent times. The Healthcare industry is no exception. Here is decoding the future trajectory of healthcare with AI. The impact of artificial intelligence in the healthcare industry through machine learning (ML) and natural language processing (NLP) is transforming care delivery.
We find ourselves at a critical point in the evolution of artificial intelligence (AI) in healthcare. While we can take it for granted that the rate of technological innovation will continue to accelerate, what is less clear is how quickly we can adapt healthcare to make use of these advances. This is partly a very human problem. For example, many of the healthcare professionals (HCPs) I speak with welcome the potential benefits cloud computing can bring such as better data storage, processing power and increasingly sophisticated algorithms that can help diagnose diseases. However, they also hold genuine concerns that the regulatory environment particularly information governance will continue to lag behind AI development.