Dr. Mark Gostock and Dr. Iain Miller discuss the potential for artificial intelligence and machine learning technology to support early diagnosis of sepsis and reduce antimicrobial resistance.
In a world where our healthcare services face rising demand, and where our healthcare workforce is struggling to meet the needs of its patients, technology is a critical solution to bettering our healthcare system. We are fortunate to be living in a period of rapidly advancing medical science, and labs all around the world are brimming with promising innovation that has huge potential to continue to make major breakthroughs that will improve the way patients are treated, and how staff in the sector carry out their jobs.
Some of the latest technological advances that have exploded into the public sphere are Artificial Intelligence (AI) and Machine Learning (ML), and they are set to be crucial when it comes to improving our healthcare practices: the World Economic Forum recently named AI-facilitated healthcare one of the top 10 emerging technologies of the past year.1
After COVID-19 revealed many of the pressure points in our healthcare systems, we're seeing Governments invest in AI for healthcare to help improve efficiencies, as well as tackle some of the biggest health challenges of our generation. The UK Government has made it clear that AI, and pioneering technology in general, is an area of keen interest, having hosted the world's first global AI Summit last year and designating AI as a critical technology in last year's Science and Technology Framework. This has been reflected in the healthcare sector, with Rishi Sunak announcing a £100m fund to accelerate the use of AI in life sciences and healthcare at the end of 2023.
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