Artificial Intelligence in Healthcare: A Post-Pandemic Prescription

#artificialintelligence 

In what now seems a distant pre-pandemic period, excitement about the potential of artificial intelligence (AI) in healthcare was already escalating. From the academic and clinical fields to the healthcare business and entrepreneurial sectors, there was a remarkable proliferation of AI -- e.g., attention-based learning, neural networks, online-meets-offline, and the Internet of Things. The reason for all this activity is clear -- AI presents a game-changing opportunity for improving healthcare quality and safety, making care delivery more efficient, and reducing the overall cost of care. Well before COVID-19 began to challenge our healthcare system and give rise to a greater demand for AI, thought leaders were offering cautionary advice. Robert Pearl, MD, a well-known advocate for technologically advanced care delivery, recently wrote in Forbes that because technology developers tend to focus on what will sell, many heavily marketed AI applications have failed to elevate the health of the population, improve patient safety, or reduce healthcare costs.

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