AI (Artificial Intelligence) is changing the world of science and technology we knew. One of the most important areas it has introduced itself is medical imaging, which plays a significant role in healthcare. Accordingly, the Imaging Tech Company has created a cloud-based AI software that helps accurate detection of abnormalities in medical images to improve and accelerate decision-making and identify high-priority urgent cases in order to provide patients with best course of treatment. In this article, we review automated imaging using this software and its effects on decision-making.
Automated Imaging with Imaging Tech Software
In the post-Covid world, the importance of automated detection has become clearer, since it has become obvious that high volume of work, fatigue, and the need for speed can have serious consequences in urgent cases. The inevitable human error is also a factor that should be considered. In light of this, we are witnessing rapid adaptation of AI in imaging sector. Some challenges that healthcare industry is now facing include:
- Significant blockage of imaging demands after the pandemic
- Increasing inaccuracy in diagnosis due to human errors
- Significant need for efficiency in analysis of images and reporting
The Imaging Tech Software is such a tool that aims at improving speed, correct detection rate, and healthcare quality.
CT Scan of the Lung and Imaging Tech Software
While Imaging Tech Software can be used in all areas of imaging, there are areas that stand out, one of which is CT Scan of the lung. Detection of abnormalities in a CT Scan can be one of the most important factors in timely diagnosis and treatment of lung cancer. Given the high demand for imaging for respiratory conditions and shortage of radiologists, there is a significant blockage in reporting and analysis of these images, which could have dire consequences for patients with advanced cases. This high demand can also lead to fatigue of the imaging personnel that in turn can cause life-threatening errors for patients.
Benefits of Imaging Tech Software
As an AI-powered tool, application of Imaging Tech Software can have the following benefits for patients and the healthcare system:
- Faster Diagnosis, Leading to Faster Intervention
AI-powered imaging helps doctors detect complications and abnormalities more quickly, which in turn leads to faster intervention. Reading a CT Scan of the lung usually requires a radiologist spending some valuable time. However, an AI-powered software can do this in a much shorter time with the help of powerful algorithms and computerized computation capabilities. In sum, Imaging Tech Software can “buy” the patient and the healthcare system some valuable time.
- Tracking of Patient Status
An important step in treating a patient is tracking changes in their condition. Imaging is the most essential weapon in a physician’s arsenal for knowing where to attack the problem and where they have wounded the enemy! This was harder in traditional imaging, because records of a particular patient could not be kept efficiently. AI can help track the condition of the patient by keeping all their records and detecting even the slightest change.
- Precision Improvement
As an AI-powered software, Imaging Tech Software can improve precision because machine learning helps it differentiate between types of cancer, for example. Moreover, AI-powered tools have the unique ability of “predicting” the future condition of the patient based on the current state. For example, by measuring the stage and grade of the tumor, they can predict its survival rate. These all help doctors adopt the best course of treatment for each patient.
- Workload Reduction
Using an AI-powered software can significantly shorten the time needed for reading and screening the image, and subsequently, helping the radiologist prepare the analysis report with a more efficient timing. In the same vein, the physician would receive a very precise and fast decision-supporting report, which help them make their decision about the diagnosis and the treatment course quicker and with more confidence. This all help reducing the workload and burnout of the medical personnel.
In conclusion, AI-powered imaging tools, such as Imaging Tech Software, help the healthcare system by reducing the workload and providing a more reliable decision-supporting evidence, while helping the patients with more precise and faster analysis, which can lead to faster diagnosis and better treatment decisions, improving the success rate.
Resources
https://www.onixnet.com/blog/how-ai-powered-medical-imaging-is-transforming-healthcare/
Add a Comment