How AI is revolutionizing the healthcare sector – Analytics Vidya

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This article was published as a part of the Data Science Blogathon.

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Artificial Intelligence (AI) has made a huge impact on a wide range of industries, especially healthcare. The application of AI in the healthcare industry fundamentally improves the future of medical diagnosis, treatment and medicine. This blog covers some of the applications of AI in the healthcare sector. So let’s start.

applications of AI

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1. Robot-Assisted Surgery: Recently, robotic surgery has become very popular. Many hospitals use robotic technology to help them complete tasks that require precision, control, and flexibility. It is used for very complex tasks that require excellent skill and precision.

Robots equipped with mechanical arms, cameras, essential surgical instruments, and a thorough knowledge of data enhance surgeons’ skill, subject matter expertise, and experience, leading to a new way of performing surgery. It enables surgeons to operate the robot’s mechanical arms from a computer console. In contrast, the robot provides a magnified, three-dimensional view of the surgical site that is not possible to see with the naked eye.

AI-assisted robotic surgery has fewer complications, relatively less discomfort to patients, and is quicker.

Source: hopkinsmedicine.org

2. Early diagnosis of fatal blood diseases: Artificial intelligence is a huge asset for early diagnosis of potentially fatal blood disorders. Doctors can now check for harmful chemicals and bacteria in blood samples (such as Staphylococcus, E. coli, etc.) with manual scanning, thanks to an AI-enhanced microscope. To figure out how for the machines to detect harmful bacteria, the researchers examined more than 25,000 photographs of blood samples. AI enables machines to identify these bacteria in the blood and predict their survival in new samples with an accuracy of 95%, reducing the mortality rate by a large margin.

AI in Medicine: On the way to development |  Imaging Technology News

Source: insight.xtria

3. Customer Service Chatbots: Using technology such as Natural Language Processing (NLP), chatbots enable patients to ask questions about appointments, bill payments and other topics. To ease the burden on the medical staff, chatbots also help communicate with patients about their illness and symptoms.

Chatbots also help patients by providing needed solutions, freeing up healthcare professionals to focus on other pressing responsibilities. Apart from connecting patients, this healthcare solution provides them with state-of-the-art care and improves outcomes.

How a Chatbot Can Help Your Healthcare Business |  by Michelle Parayil |  chatbots life

Source: ChatbotsLife

4. Virtual Health Assistants: Virtual Health Assistants (VHAs) are responsible for many tasks such as answering regular patients’ calls and emails and keeping their medical information while protecting sensitive data, setting up doctor’s appointments, follow-up visits and Reminds me of clinical meetings. , e.t.c.

VHAs can also incorporate cognitive computing, augmented reality, and body and voice gestures to make virtual assistants smart. It is one of the most useful AI applications in healthcare that provides patients with a tailored experience in managing their health and resolving their queries. Reduction in the number of hospital visits benefits both patients and medical professionals.

How Chatbots and AI are Changing the Healthcare Industry

Source: scnsoft.com

5. Treatment of rare diseases: AI-based clinical-stage biotech platform called BERG seeks to map diseases to accelerate discovery and development of cutting-edge drugs and vaccines, revolutionizing the way healthcare is delivered . Thanks to research and development (R&D) and inquiry biology, medical practitioners can produce sustainable products for patients suffering from rare diseases.

In addition, BERG highlights its Parkinson’s disease research progress. This neurological disease causes stiffness, tremors, and difficulties with balance, coordination, and basic activities, including walking. The symptoms of Parkinson’s disease develop slowly and gradually get worse, making it one of the worst diseases to be diagnosed with. BERG uses artificial intelligence to link relationships between chemicals in the human body that were not previously known.

It shows how AI is already making a significant positive impact on the healthcare sector and will continue to do so.

Three rare disease diagnostic opportunities for AI and machine learning

Source: EvansvilleRadiology

6. Automation of redundant health care tasks: The remarkable role of AI and its tools in health care is that it automates repetitive and time-consuming tasks. As a result, administrators have more time to work on other important and essential tasks. Olive is an AI-based platform that automates a number of processes, including determining whether undisputed medical claims are eligible and sending relevant medical data to the appropriate medical specialists. Best of all, Olive is easy to integrate with equipment and software that a hospital already has, reducing cost and eliminating the need for integration.

What is Microsoft Power Automate?  - smartbridge

Source: smartbridge.com

7. Reduction of Dosing Errors: Because a drug or even an extra dose of a drug can have a serious effect on the patient’s body, the patient should take the recommended dosage on time. Otherwise it can have serious consequences. With the help of artificial intelligence, the industry will be able to reduce the chances of drug errors.

How AI Sensors Can Reduce Medication Errors  AI Powered Healthcare |  Healthcare IT News

Source: indiatimes.com

8. Management of Medical Records: One of the upcoming Big Data frontiers that needs to be conquered is healthcare. Important and useful data is often lost in large-scale data collection, such as a needle in a haystack, causing the industry to lose billions of dollars annually. In addition, accurate diagnosis and development of new drugs and drugs have been slowed without the ability to link important data pieces.

Data science in health care has led many healthcare organizations to turn to AI to prevent data loss. AI enables them to break down the data and combine the required data which previously took years to process.

Use of AI to Improve Electronic Health Records |  Healthcare Transformer

Source: Healthcare Transformers Conclusion

So in this article, we explore how AI is fundamentally changing the healthcare sector. Following are the key things to remember from this article:

Robotic technology, in combination with AI, can help accomplish tasks requiring excellent accuracy, control and flexibility, for example. Surgery. With the help of AI, harmful chemicals and bacteria can be detected in blood samples, which can help in early diagnosis of deadly blood diseases. Using technology like Natural Language Processing (NLP), chatbots/virtual health assistants enable patients to ask questions about appointments, bill payments, and more. Medical practitioners can leverage AI-based technologies to map diseases to accelerate the discovery and development of cutting-edge drugs and vaccines for patients diagnosed with rare diseases. In addition, the risk factors for dosing errors can also be reduced. Repetitive and time-consuming tasks can be automated with the help of AI. As a result, administrators may have more free time to work on other important and essential tasks. Medical records can be managed effectively so that data is not lost.

The media shown in this article is not owned by Analytics Vidya and is used at the sole discretion of the author.

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