AI (Artificial Intelligence) is rapidly evolving the world by integrating itself into most fields related to science and technology. Healthcare system is one of the many fields that is transforming in many areas thanks to introduction of AI. Challenges the medical imaging sector encountered during the Covid-19 pandemic, including prioritization of patients and timely detection, have lead this sector to welcome AI solutions more than others have. This article explores the benefits of AI solutions, such as Imaging Tech Software, in effective prioritization of patients in medical imaging centers.
AI Solutions and Effectiveness in Radiology
Like any other service provider sector, the medical imaging sector aims at improving effectiveness. Effectiveness in this field comes with patient outcomes, which means successful and timely diagnosis, to which AI solutions can best contribute. AI-powered tools can handle complex and large datasets, automate tasks that were traditionally done by radiographs and radiologists, improve the quality of imaging, reduce the workflow by shortening and organizing the process, and prioritizing patients to receive service based on the urgency of their condition. Moreover, AI can detect complicated patterns that a human being may not necessarily be able to detect.
Imaging Tech Software and Improvement of Effectiveness
Imaging Tech Company has developed an AI-cloud based software that can help tackle many of the challenges radiology centers face in the post-Covid world, one of the most important of which being high workflow that leads to prolonged waiting time of the patients, which can have serious implications on diagnosis and treatment. Some areas that the Imaging Tech Software contributes to are as follows:
- Compensating Shortage of Radiologists
Lack of practitioners in different areas of healthcare system is an important concern that AI can help resolve. In particular, the healthcare system currently suffers from scarcity of radiologists, which can have adverse implications on patient outcomes. The software developed by Imaging Tech Company helps tackle this problem by automating many time-consuming tasks and assisting the radiologist with faster and more accurate decision-making process, hence, compensating for the shortage of radiologists.
- Precise Detection of Abnormalities
The Imaging Tech Software uses algorithms that help accurate detection of lesions in medical images. The software employs machine learning to spot high-risk areas of the image that indicate abnormalities, directing the radiologist to the regions that they need to focus in their analysis.
- Reliable and Fast Basis for Decision Making
As discussed above, good patient outcome is the main objective of medical imaging sector. This requires the radiologist to make better and faster decisions based on the images taken. Not only Imaging Tech Software provides the radiologist with a better quality and more accurate image, but also it provides so much reliability that the radiologist can confidently make their recommendations relying on the image.
- Prioritization of Urgent and Time-Sensitive Cases
The Imaging Tech Software not only provides a better quality image, but also it highlights important findings that the radiologist must pay special attention to and prioritize cases taking into account the abnormalities detected. This helps the radiologist classify cases based on their urgency and identify patients needing urgent medical intervention, resulting in reduction of morbidity rate of patients and improvement of patient outcome, hence, higher effectiveness.
- Personalization of Treatment
It has been proven that personalized and customized treatment plans can increase the success rate and improve patient outcomes drastically. The first step for this is taken in medical imaging centers where the basis for diagnosis is created. By providing a higher quality image and reducing potential errors, Imaging Tech Software help recommendation of personalized treatment courses customized to need of each patient. AI can also help this process by tracking the record of the patient’s condition and provide the physician with a prediction of the patient’s state given any course of treatment, personalizing the care even further.
Conclusion
Healthcare challenges such as increase of demand, shortage of radiologists, and prolonged waiting time of patient can be tackled using new AI technologies. The software developed by Imaging Tech Company, which is an AI-Cloud based software, can help with many of these issues by automating many traditionally manual tasks, creating higher quality images, helping the radiologist identify serious abnormalities and lesions, prioritizing more urgent cases, and personalizing the patient care.
Resources
https://www.calantic.com/en/guide-artificial-intelligence-radiology
https://imaging-tech.ca/unveiling-the-functions-of-imaging-techs-technology/
Add a Comment