Artificial Intelligence in Healthcare: Tomorrow and Today
It is a typically cold day in February and the peak of the flu season. Let alone the never-ending pandemic that seems to have been haunting this world forever. And it got me thinking – can technology help battle all these nasty diseases and improve patient outcomes? And most importantly, will artificial intelligence have a hand in it? It seems so.
In 2021, we’ve reached another milestone in Artificial Intelligence adoption – $6.9 billion of market size and counting. By 2027, the intelligent market in healthcare will grow to 67.4 billion. Hence, the future of AI in healthcare certainly looks bright, yet not serene.
Today, I’ll walk you through the state of artificial intelligence in healthcare, its main application areas, and its current limitations. All these will help you build a holistic image of this technology in medical services.
The State of AI in Healthcare Today
Artificial Intelligence is now considered one of the most important IT research areas, promoting industrial growth. Just like the transformation of power technology led to the Industrial Revolution, AI is heralded today as the source of breakthrough.
Within the healthcare continuum, COVID-19 has accelerated investments in AI. Over half of healthcare leaders expect artificial intelligence (AI) to drive innovation in their organizations in the coming years. At the same time, around 90% of hospitals have AI strategies in place.
Now let’s have a look at the top impacts of intelligent algorithms in medicine.
Current Technological Impacts in Medicine
Today, only specific settings in clinical practice have welcomed the application of artificial intelligence.
Patients have been waiting for the deployment of augmented medicine since it allows for greater autonomy and more individualized care. However, clinicians are less encouraged because augmented medicine requires fundamental shifts in clinical practice.
Nevertheless, we already have enough AI use cases to assess its potential.
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