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Quick Overview: Let’s dive deeper into the spectrum of Artificial Intelligence in healthcare statistics, revealing the promising breakthroughs and the bright future it holds in revolutionizing the healthcare industry. Join us as we explore the statistical arena and trends for AI adoption in healthcare.
Imagine a future where machines not only assist but also anticipate the needs of healthcare professionals, where a huge number of medical data is transformed into actionable insights, and where patient outcomes are optimized with accurate precision.
From personalized treatment recommendations to AI predictive analytics, from drug discovery to image interpretation, AI has a significant impact on the healthcare industry. This blog will be your compass through this transformative landscape, giving in-detail information about statistics of artificial intelligence in healthcare industry.
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The use of AI in healthcare industry is gaining momentum. In fact, it has become a vital trend to bridge the gap between patients and healthcare professionals. Hence, the need for AI-based healthcare solutions has seen some of the biggest investments in recent years. Let’s understand the market size of AI in healthcare sector.
The global Artificial Intelligence in healthcare market is projected to reach $173.55 billion by 2029, growing at a CAGR of 40.2% from its 2022 valuation of $16.3 billion.
The AI in healthcare sector is becoming more popular. Let’s read some insights about AI and healthcare industry.
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The AI has brought digital transformation for the healthcare industry. The market for AI in healthcare industry already has billions of dollars. Let’s go through the AI market share, AI future trends, and other interesting facts in this section.
When it comes to patients or users, they are more scared of leveraging the advantages of new technology. However, some patients have experienced positive outcomes of AI for cancer treatment and therapy.
60% of Americans are not comfortable with their provider relying on AI-powered technologies.
In a recent study, 11,004 US citizens were surveyed, and it was discovered that 6 out of 10 were uncomfortable about their healthcare professional using artificial intelligence (AI) to diagnose them or suggest treatments.
Around 60% of Americans believe AI will not lead to better health results.
Although 38% of participants thought that utilizing AI would lead to better health outcomes, 33% disagreed, and 27% had no opinion.
Concerns about AI's potential to harm the relationship between patients and providers (57%) and its potential to compromise patient record security (37%) are also present.
75% of Americans think AI will be used in healthcare in the coming days.
Artificial intelligence is a relatively new idea for a large portion of the population. 70% of people, including those who have heard a lot about AI, still think the healthcare sector will move too quickly and do not fully understand the risks to patients.
When it comes to skin cancer screening, 65% of US adults say they would either definitely or probably want AI to be utilized.
One area where the public feels AI would be helpful is skin cancer screening, with 55% of respondents thinking it would be even more accurate than traditional screening. Interestingly, while uneducated minorities tended to be more scared of such an application, educated young men were the biggest proponents of AI.
Talking to an AI chatbot is more appealing to one in four Americans than seeing a real therapist.
Telephone therapy was the first, followed by messaging apps. These days, more and more people are using AI chatbots, like ChatGPT, to receive therapy without the need for human intervention. Now that AI therapy is so widely used, 40% of Americans would rather use it than see a real therapist in person.
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Adults in the UK are most worried about AI diagnoses.
According to a survey of 2,000 people in the UK, the most urgent worry about AI in healthcare is depending too much on technology for diagnosis (39%). Medicine allocation was 27%, while improving surgical techniques was 17%.
However, 26% thought that encouraging healthy lifestyles was the most beneficial use, followed by cutting down on wait times.
28% of adults in the UK would prefer AI in healthcare if shown evidence of improved outcomes.
The largest percentage of respondents (28%) cited proof of better patient outcomes when asked what would allay worries about AI in healthcare.
75.7% of radiologists believed that algorithmic outcomes based on AI were trustworthy.
Answer | Number of respondents | (%) |
---|---|---|
Yes | 140 | 75.7 |
No | 31 | 16.8 |
Skipped | 14 | 7.5 |
Total | 185 | 100 |
The European Society of Radiology examined 185 radiologists who made patient diagnoses using algorithms powered by artificial intelligence.
Of them, the majority of 75.7% agreed that these algorithms are generally reliable. 16.8% of respondents to the same study said AI is unreliable, and 7.5% said they would rather not react because they didn't know enough or couldn't decide.
How does AI transform the healthcare industry? Let’s unravel the statistics of the future of AI in healthcare.
With predictive AI solutions, there could be a 50% reduction in hospital admissions.
According to a Clare Medical study, hospital admissions could be decreased by implementing artificial intelligence (AI) strategies to identify older individuals who are more likely to encounter "medical events". This reduces expenses, preserves lives, and makes hospital beds available for other emergencies.
AI models can predict cancer patient survival with 80% accuracy.
An artificial intelligence (AI) model created by researchers at the University of British Columbia can recognize patient features from notes taken by oncologists and predict cancer survival with 80% accuracy.
In an effort to improve results, this enables medical professionals to recommend patients to support services earlier or to pursue more aggressive treatment plans.
AI is twice as fast as humans in ruling out suspected heart attacks.
The effectiveness of treating heart attacks was much improved by a recent trial conducted by the British Heart Foundation and the NIHR. With 99.6% accuracy, CoDE-ACS was able to rule out a heart attack in twice as many patients as it could in humans.
This ensures that they are discharged or receive alternative care, freeing up staff members to attend to patients with a higher risk.
AI can detect early signs of dementia with the most accuracy.
CognoSpeak, an artificial intelligence tool, can identify Alzheimer's disease 90% of the time using patient language and speech patterns, which is comparable to traditional methods.
Algorithms that create counterfactuals are as accurate as the top 25% of physicians.
Associative algorithms, which identify diseases that have a significant correlation with a patient's symptoms, have proven successful for AI.
As opposed to the top 44% when utilizing associative algorithms, a counterfactual algorithm that employs causal reasoning was demonstrated to be as accurate as the top 25% of physicians.
Precision medicine powered by AI will be dominated by oncology and neurology.
More than 31% of the precision medicine market's revenue share in 2022 came from oncology (cancer diagnostics). Over the next ten years, there will be a rise in neurological conditions, including dementia and epilepsy, which are expected to dominate the market.
AI robot surgery could reduce hospital stays for patients by over 20%.
According to research, an artificial intelligence robot lowered complications in orthopedic surgery five times more than surgeons operating alone. Additionally, this may lead to a 21% decrease in patients' time in the hospital after surgery. Subsequent savings are estimated at $40 billion per year.
AI nursing assistants could reduce 20% of maintenance work.
AI-powered nurse aides are predicted to save $20 billion annually by cutting down on the 20% of time nurses spend on patient maintenance duties. Sensely's "Molly" chatbot illustrates this, asking patients questions, evaluating their symptoms, and directing them to the right resource.
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Implement AI for Your Healthcare IndustryAfter going through the above statistics on AI in the healthcare sector, we can conclude that the trust of healthcare providers in AI is growing, and investors' interest in developing AI-enabled healthcare software solutions offers many opportunities.Radixweb supports you in overcoming obstacles and uncertainties on your path to effective AI adoption. Our team is well-versed in the healthcare industry and its challenges, and we have the requisite experience integrating AI into software. When you leverage our healthcare software development services, our experienced developers will help you integrate AI into healthcare software with their in-depth understanding of the industry and its pain points.Reach out to us, and let's create a new success story together!Want even more interesting technologies-related statistics and facts?Check out Artificial Intelligence Statistics, NodeJS Statistics, Agile Statistics, and JavaScript Statistics from Radixweb’s Facts and Figures library.
Dhaval Dave, a Operations Spearhead, and a technology enthusiast at Radixweb. He holds 16 years of experience with proficiency in PHP & frameworks, Node.js, React.js, MongoDB, AWS services, and many other technologies. He is a dynamic leader with exceptional communication skills and has a track record of delivering on-time success for global brands.
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