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Developers and investors are working on getting artificial intelligence into the hands of average consumers. As AI grows more widespread and models and tools improve, security, safety, and ethics will become more critical.
FREMONT, CA: Many factors, such as the COVID-19 pandemic, the mental health crisis, rising healthcare expenditures, and an aging population, have prompted companies to hurry to develop artificial intelligence (AI) applications for the healthcare industry. The fact that forty companies have received $20 million or more in funding from the venture capital market is a promising sign that the industry is ready to adopt AI solutions. But how exactly are AI systems being utilized in clinical settings?
More than three hundred people from all over the world were polled for the "2022 AI in Healthcare Survey," which sought to characterize the obstacles, successes, and applications that define healthcare AI. While there was little change from the first year to the second, some intriguing trends may indicate how the pendulum will swing. Parts of this change are exciting (such as the widespread availability of AI), but others are less so (a much larger attack surface).
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No-code software makes AI accessible to everyone.
According to Gartner, no-code and low-code technologies would be used by 70 percent of organizations in new app development by 2025, up from less than 25 percent in 2020. No-code solutions, which don't necessitate the involvement of data scientists, will have the greatest influence on businesses and beyond, while low-code can ease developers' workloads. Thus, it is encouraging to witness a definite movement in AI utilization from technical titles to domain experts.
More than half of healthcare AI developers say doctors are their primary audience, with healthcare payers and health IT businesses close behind. This indicates greater industry adoption with the availability of open-source technologies and the substantial development and investment in healthcare-specific AI applications.
Putting code in the hands of healthcare personnel in the same manner that Excel or Photoshop are typical office tools will revolutionize AI. It also increases the accuracy and reliability of the results by placing a medical expert in charge instead of a computer scientist. These shifts are happening slowly, but it's encouraging to see more subject experts than ever before using AI.
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