Artificial intelligence (AI) is a widely discussed topic, especially as new AI-based tools such as OpenAI’s ChatGPT come to the forefront of the tech industry. What role does AI have in the health care sector?
SwissCognitive Guest Blogger: Shannon Flynn – “AI’s Potential in Health Care”
The Role of AI in Health Care
AI is reshaping health care in more ways than one. It will likely become commonplace in facilities by improving outcomes and streamlining administrative tasks.
Nine out of 10 health care executives worldwide believe an organization’s ability to generate revenue will heavily rely on its tech stack. Health care companies that do not keep up with the times and implement AI may fall behind their more tech-savvy competitors.
Examples
AI, in addition to its subsets like machine learning (ML), natural language processing (NLP), deep learning (DL) and computer vision (CV), has countless applications in the medical and health care fields. For example, ML can quickly process thousands of patient documents to gain insights about future medical outcomes, often with a high degree of accuracy.
What are some other examples of AI in health care?
1. Improving Medical Devices and Apps
AI is expected to play an increasingly important role in the global diagnostic AI market, which is anticipated to reach an estimated $5371.11 million by 2028. In addition to improving medical diagnoses, the use of medical devices and apps will inevitably change with new AI applications.
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For example, companies are incorporating AI into smart robots, wearables and hearables, and simulation platforms. Currently, the BRAIN (Building Relationships Using Artificial Intelligence and Nostalgia) App is undergoing clinical trials and is expected to treat patients with dementia and Alzheimer’s disease.
2. Automating Administrative Tasks for Employees
There’s a noticeable labor shortage in the health care industry, which can ultimately impact the quality of care patients receive. AI is not expected to take over all jobs in the field, but it can handle monotonous administrative tasks like scheduling appointments, updating records and checking patient symptoms in triage.
AI chatbots will likely become more popular over time, and electronic health record (EHR) solutions can become more advanced. Health care facilities using AI for administrative tasks will free employees to handle more important, meaningful work.
3. Enhancing Medical Image Analysis
AI and CV are expected to improve medical image analysis. For instance, CV can speed up image analysis so doctors can spend less time reviewing MRIs, X-rays and CT scans. This could help facilities with a shortage of radiologists or MRI technicians.
Modern CV systems can also quickly detect brain tumors and signs of skin and brain cancer. Enhancing medical image analysis is crucial, especially as more people under 50 are being diagnosed with cancer.
The Future of AI in Health Care
AI holds a lot of promise in the health care industry. It will continue evolving as years go by, becoming even more advanced and gaining additional capabilities. The future of AI in health care is bright, and new applications for this revolutionary technology will emerge with more investment and research and development initiatives.
About the Author:
Shannon Flynn is the Managing Editor of ReHack Magazine and content writer for sites such as Make Use Of and HackerNoon. She covers topics about cybersecurity, artificial intelligence and big data.
Artificial intelligence (AI) is a widely discussed topic, especially as new AI-based tools such as OpenAI’s ChatGPT come to the forefront of the tech industry. What role does AI have in the health care sector?
SwissCognitive Guest Blogger: Shannon Flynn – “AI’s Potential in Health Care”
AI is reshaping health care in more ways than one. It will likely become commonplace in facilities by improving outcomes and streamlining administrative tasks.
Nine out of 10 health care executives worldwide believe an organization’s ability to generate revenue will heavily rely on its tech stack. Health care companies that do not keep up with the times and implement AI may fall behind their more tech-savvy competitors.
Examples
AI, in addition to its subsets like machine learning (ML), natural language processing (NLP), deep learning (DL) and computer vision (CV), has countless applications in the medical and health care fields. For example, ML can quickly process thousands of patient documents to gain insights about future medical outcomes, often with a high degree of accuracy.
What are some other examples of AI in health care?
1. Improving Medical Devices and Apps
AI is expected to play an increasingly important role in the global diagnostic AI market, which is anticipated to reach an estimated $5371.11 million by 2028. In addition to improving medical diagnoses, the use of medical devices and apps will inevitably change with new AI applications.
Thank you for reading this post, don't forget to subscribe to our AI NAVIGATOR!
For example, companies are incorporating AI into smart robots, wearables and hearables, and simulation platforms. Currently, the BRAIN (Building Relationships Using Artificial Intelligence and Nostalgia) App is undergoing clinical trials and is expected to treat patients with dementia and Alzheimer’s disease.
2. Automating Administrative Tasks for Employees
There’s a noticeable labor shortage in the health care industry, which can ultimately impact the quality of care patients receive. AI is not expected to take over all jobs in the field, but it can handle monotonous administrative tasks like scheduling appointments, updating records and checking patient symptoms in triage.
AI chatbots will likely become more popular over time, and electronic health record (EHR) solutions can become more advanced. Health care facilities using AI for administrative tasks will free employees to handle more important, meaningful work.
3. Enhancing Medical Image Analysis
AI and CV are expected to improve medical image analysis. For instance, CV can speed up image analysis so doctors can spend less time reviewing MRIs, X-rays and CT scans. This could help facilities with a shortage of radiologists or MRI technicians.
Modern CV systems can also quickly detect brain tumors and signs of skin and brain cancer. Enhancing medical image analysis is crucial, especially as more people under 50 are being diagnosed with cancer.
The Future of AI in Health Care
AI holds a lot of promise in the health care industry. It will continue evolving as years go by, becoming even more advanced and gaining additional capabilities. The future of AI in health care is bright, and new applications for this revolutionary technology will emerge with more investment and research and development initiatives.
About the Author:
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