5 Powerful Artificial Intelligence In Healthcare Use Cases
The use of Artificial Intelligence (AI) is not limited to any business division. Though being utilized in many sectors, applications of AI in healthcare are huge.
Among others, the healthcare sector remains one of the fastest sectors in adopting AI. The global healthcare sector is observing a tremendous growth by integrating the Artificial intelligence capabilities into their medical devices.
Also, healthcare companies are using virtual assistants to provide continuous healthcare services to patients who unable to visit hospitals.
With more focus on improving patient outcomes, hospitals are increasingly investing in artificial intelligence technology.
AI, together with IoT and Cloud technologies, is becoming popular as it builds advanced healthcare solutions to assist physicians.
Herein, we covered the top five (5) potential developments of artificial intelligence in healthcare.
#1 AI-powered Robotic Surgery
Investments in AI-based robots are continuing to climb in the fast few years, especially in the healthcare sector. Intelligent robots can analyze data from previous medical logs. Based on medical reports of a patient, robots can guide & control a surgeon’s instrument all through surgery. This process will reduce the time of the patient’s hospital stay. Robot-assisted surgery minimizes surgical incisions, and hence it is considered as minimally invasive surgery.
Generally, using AI, robots use data from previous tasks to introduce new medical procedures. In addition, it was proven that the complication rate is less with AI-powered robotic surgery.
I hope you’ve heard about the da Vinci Surgical System. It is a robotic surgical system developed by Intuitive Surgical Inc. (An American manufacturer of robotic products). It can enhance the patient’s outcome by performing minimally invasive surgery. This intelligent system allows doctors to do difficult surgical process with more confidence and control. But, sure this benefit cannot be achieved using traditional surgical methods.
Further, robots automatically learn from medical records. Hence, the positive results delivered by intelligent robots are really helpful for physicians.
#2 AI-based Virtual Nursing Assistants
The value of Artificial intelligence-based virtual nursing assistants is approximately $20 billion per annum. These assistants reduce hospital visits and also lessen the load on physicians. Virtual nursing assistants can efficiently interact with the patients and direct then to get better healthcare services from doctors. AI-based devices can convert voice-to-text. This ability of AI helps doctors to recommend drugs/medications to the patients.
As virtual assistants provide 24*7 services, they can support and monitor patients conditions continuously. Quick response to patient’s queries is also the best feature of virtual assistants.
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#3 Artificial Intelligence in Support Diagnosis
The healthcare segment is an open area that needs the support of more intelligent technologies. Using AI tools and devices, healthcare service providers are providing improved healthcare services. A noteworthy point is that the implementation of AI technologies in healthcare is essential. It will greatly alter the way of diagnosing life-threatening diseases.
Few diseases are difficult to diagnose like oncology and cardiology diseases. However, AI-based diagnosis apps help doctors to provide treatment at the right time. In addition, Machine Learning (ML) and deep learning algorithms also using in healthcare. These technologies enable machines to learn from data and deliver insights into patient’s data. Hence, the doctors can check and analyze the severity level of the disease.
Likewise, AI-based wearables are developed to detect cardiac diseases in early phases. Thus, AI devices together with IoT & cloud avoids human errors and automates diagnosing process.
#4 Automate Administrative Tasks
Artificial intelligence is taking its role in automating the end-to-end administrative functions. This could help healthcare industry to save approximately $18- $20 billion every year. AI-powered machines are well trained to perform all administrative tasks with more accuracy and efficiency.
#5 AI for Image Analysis
Manual image analysis takes too long time and leaves minimum human errors. But, Artificial Intelligence machines using deep learning can view and scan thousands of medical images and detect patterns of various diseases. This feature of AI allows healthcare providers to diagnose a disease exactly.
Therefore, artificial intelligence is a pillar to get the next-level of tools for radiology. AI-based radiology tools need not to depend on tissue samples. Moreover, through Artificial intelligence-powered image analysis, healthcare service providers can also perform can also aid their patients who are in remote locations. Telemedicine service is the best example for this scenario. This innovative healthcare service allows patients to send images of rashes, cuts, etc. It helps doctors to determine the disease and provide necessary treatment.
Conclusion
Health matters for everyone. Right? When a physician saves minutes means that he is saving lives. Artificial intelligence and machine learning technologies consumes lies time in detecting and analyzing diseases and health conditions. AI tools supports service providers in providing faster services to their patients.
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