![Shahid Sha Person name](/images/shahid-sha.png)
@ShahidNShah
The way we identify, treat, and manage diseases may soon undergo a technological revolution in the healthcare sector. Artificial intelligence (AI) has the potential to transform healthcare by enhancing clinical decision-making, enhancing patient outcomes, and optimizing resource use. To fully utilize AI in healthcare, however, a number of obstacles must be overcome on the adoption road. There are many difficulties to overcome, ranging from practical challenges like data integration and standardization to moral issues like bias and job displacement. Healthcare AI Adoption Challenges The AI market for Healthcare and Life Sciences (HCLS) is expected to grow to a remarkable $95.65B by 2028, up from $6.60B in 2017, according to Vantage Market Research's most recent report.
Continue reading at healthitanswers.net
Most people are shocked by the price when they get a hospital, medical imaging, or outpatient surgical bill. How can they know the bill is accurate, regardless of price? Not at all. Since …
Posted May 25, 2023 Artificial Intelligence and Machine Learning in Software as a Medical Device Artificial Intelligence
Connecting innovation decision makers to authoritative information, institutions, people and insights.
Medigy accurately delivers healthcare and technology information, news and insight from around the world.
Medigy surfaces the world's best crowdsourced health tech offerings with social interactions and peer reviews.
© 2025 Netspective Foundation, Inc. All Rights Reserved.
Built on Feb 14, 2025 at 12:57pm