Artificial intelligence (AI) has changed the face of technology in recent years. This includes, business, industrial, healthcare and personal applications. Life sciences and healthcare are two areas where AI is making a huge impact. This interesting topic came from IT Munch in their article, “The current state of AI in healthcare – 6 important trends for 2022.”
AI and machine learning are empowering healthcare systems, clinics and hospitals to fast track their research efforts. AI is also playing a significant role in clinical trial recruitment, vaccine development and detection of life-threatening drug events. In reality AI in the healthcare sector is in its infancy, but is already making a significant impact.
Most organizations have little knowledge on how AI systems make the decisions they do. 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. Why is this important? Because explainability becomes critical when the results can have an impact on data security or patient safety.
Melody K. Smith
Sponsored by Access Innovations, the intelligence and the technology behind world-class explainable AI solutions.
