Can technology help battle public health crises on a grand scale and improve patient outcomes? Will artificial intelligence (AI) be a key contributor to those solutions? This interesting topic came to us from Read Write in their article, “Artificial Intelligence in Healthcare: Tomorrow and Today.”

AI technology like machine learning and natural language processing (NLP) has the ability to enable better collaboration and experiences for healthcare organizations, clinicians and their patients. And with more transferable health information, it is possible to unlock surprisingly incredible outcomes and process improvements for providers and patients.

AI 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.

Even, or especially in healthcare, organizations have little knowledge on how AI systems make the decisions they do, and as a result, how the results are being applied in the various fields. Explainable AI allows users to comprehend and trust the results and output created by machine learning algorithms. Explainable AI is used to describe an AI model, its expected impact and potential biases.

Melody K. Smith

Sponsored by Access Innovations, the intelligence and the technology behind world-class explainable AI solutions.