Examples of AI implementation in healthcare that have worked out are known to be successful as they tried to improve the patient outcomes and streamline operations and particularly help in enhancing the accuracy of diagnosis.
Artificial Intelligence (AI) is a field of computer science concerned with giving machines artificial intelligence and ability to act like humans.
Here are some notable examples:
1. Patient Positioning and Image Reconstruction Improving Precision
Example:
AI enabled camera technology can detect anatomical landmarks in the patient and automatically position the patient for fast, accurate and reproducible patient positioning for CT scans. It provides for reduced radiation dose and improved image quality while supporting diagnostic confidence.
2. Evaluating Speeds of MRI Image Acquisition
Example: MRI exams can be accelerated efficiently by using AI based image reconstruction, increasing department productivity and decreasing the cost per exam. It also improves patient experience by reducing scan time and reducing image noise to high resolution.
3. Ultrasound measurements improved.
Example:
Special AI in cardiac care weaves the complexity of ultrasound measurements, thereby reducing variability and duration the echo examination. This is used to make more consistent and accurate heart function evaluations.
4. It aids Radiologists in the Image Analysis
Example:
Using the AI system, images can be read faster and more accurately by radiologist, highlighting areas such as potential tumours, fractures etc. So itтАЩs easier to find and plan treatment early on1.
5. Facilitating multidisciplinary collaboration in the care of cancer
Example:
These AI tools allow oncologists, radiologists and pathologists to collaboratively examine patient data from various sources to gain a comprehensive picture of whatтАЩs going on to the patient. It also provides a support for personalized treatment plans.
6. The application of these machine vision methods for guiding physicians during minimally invasive surgical procedures.
Example:
Real time guidance and increased precision, which are benefits of harnessing AI powered systems, can help surgeons during minimally invasive procedures. It decreases the risk of complications and improves patient outcomes.
7. That being said, one cannot predict Disease Progression.
Example:
Using patient data, Risk factors can be identified for the progression of Diseases such as diabetes and cardiovascular diseases with the help of AI models which can predict them. This allows proactively managing and intervening.
8. Learn about optimising Chemotherapy Treatment Plans
Example:
AI is used in oncology to optimize chemotherapy treatment plans by determining how to best treat patients based on their individual information, in their case predicting how they respond to different treatment options. This helps give better and more personalized cancer care.
9. In Oncology, monitoring treatment response.
Example:
Medical images and other data related to treatment response are monitored by AI systems whose goal is to track tumor progression in cancer patients. It allows oncologists to adjust treatment plans as necessary to the tumorтАЩs movement.
10. Opportunity for improving Operational Efficiency
Example:
To identify ways that the operational efficiency of the facilities in healthcare can be improved, AI algorithms analyse complex system, cost, risk and outcomes data. It includes resource allocation optimization and reduction of wait time.
11. Robotics Assisted Surgeries
They are used in hospitals and labs for repetitive jobs, rehabilitation, physical therapy, and support for people with long-term problems in addition to surgery.
Robots have the potential to completely transform life care by enabling patients to maintain their independence for longer and decreasing the need for inpatient care and nursing facilities. AI is making it possible for robots to go even further and interact socially with humans to keep aging minds sharp through conversations.
