3 Most Profitable Application of Artificial Intelligence(AI) In Health Care
Hello friends, Today in this article we write about application of artificial intelligence(AI).In future AI are very demanded.Here this 3 application you read.AI are use in health care.So this 3 amazing application of AI in Health care .
Now AI in Medical services,
1. Robot-assisted surgery: Estimated value of $40 billion
Robotic surgeries are considered “minimally invasive” — meaning practitioners replace large incisions with a series of quarter-inch incisions and utilize miniaturized surgical instruments.
Cognitive surgical robotics combines information from actual surgical experiences to improve surgical techniques. In this type of procedure, medical teams integrate the data from pre-op medical records with real-time operating metrics to improve surgical outcomes. The technique enhances the physician’s instrument precision and can lead to a 21 percent reduction in a patient’s length of hospital stay post-operation.
The da Vinci technique allows surgeons to perform a range of complex procedures with greater flexibility and control than conventional approaches. Considered to be the world’s most advanced surgical robot, the da Vinci has robotic limbs with surgical instruments attached and provides a high-definition, magnified, 3D view of the surgical site. A surgeon controls the machine’s arms from a seat at a computer console near the operating table. This allows the surgeon to successfully perform surgeries in tight spaces and reduces the margin for error.
Also under the physician’s control is HeartLander — a miniature mobile robot that can enter the chest through an incision below the sternum. It reduces the damage required to access the heart and allows the use of a single device for performing stable and localized sensing, mapping, and treatment over the entire surface of the heart. In addition to administering the therapy, the robot adheres to the epicardial surface of the heart and can autonomously navigate to the directed location.
2. Virtual nursing assistants: Estimated value of $20 billion
Virtual nursing assistants could reduce unnecessary hospital visits and lessen the burden on medical professionals. According to Syneos Health Communications, 64 percent of patients reported they would be comfortable with AI virtual nurse assistants, listing the benefits of 24/7 access to answers and support, round-the-clock monitoring, and the ability to get quick answers to questions about medications.
San Francisco-based virtual nurse assistant Sensely recently raised $8 million in Series B funding to deploy fleets of AI-powered nurse avatars to clinics and patients. The key goals of the technology are to keep patients and care providers in communication between office visits and to prevent hospital readmission. Sensely’s most commonly referenced nurse is Molly, which uses a proprietary classification engine and listens and responds to users.
Care Angel’s virtual nurse assistant Angel is another good example for this category. The bot enables wellness checks through voice and AI to drive better medical outcomes at a lower cost. It is able to manage, monitor, and communicate using unique insights and real-time notifications.
3. Administrative workflow assistance: Estimated value of $18 billion
Automation of administrative workflow ensures that care providers prioritize urgent matters and can also help doctors, nurses, and assistants save time on routine tasks. Some applications of AI on the administrative end of health care include voice-to-text transcriptions that automate non-patient care activities like writing chart notes, prescribing medications, and ordering tests.
An example of this comes from Nuance. The company provides AI-powered solutions that rely on machine learning to help health care providers cut documentation time and improve reporting quality. Computer-assisted physician documentation (CAPD) like this offers real-time clinical documentation guidance that helps providers ensure their patients receive an accurate clinical history and consistent recommendations.
Another example of this is a five-year agreement between IBM and Cleveland Clinic that aims to transform clinical care and administrative operations. The collaboration uses Watson and other advanced technologies to mine big data and help physicians provide a more personalized and efficient treatment experience. Watson’s natural language processing capabilities allow care providers to quickly and accurately analyze thousands of medical papers to provide improved patient care and reduce operational costs.
John Hopkins Hospital made a similar move in its partnership with GE Healthcare Camden Group. This initiative aims to improve patient care and efficiency via the adoption of hospital command centers equipped with predictive analytics. The strategy will help health care professionals make quick and informed decisions for operational tasks like scheduling bed assignments and managing requests for unit assistance.
Role of AI in Healthcare
- Virtual Health Assistant
Virtual Health Assistants (VHA) can proactively help patients in a number of ways.
AI has been utilized to improve medical diagnosis.
- Healthcare BOTs
Bots for healthcare exist primarily for patient engagement.
Benefits of AI in Healthcare
- Advancement in treatments
AI is leading to advancements in healthcare treatments, such as improving the organization of treatment plans, analyzing data to provide better treatment plans, and monitoring treatments.
- Virtual Assistants
In this day and age when people expect to get answers instantly, virtual assistants enable patients to get answers in real time.
- Reduce Costs
Frost & Sullivan reports that AI has the potential to improve outcomes by 30- 40% and reduce the cost of treatment by as much as 50%.
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