An early and accurate AI-powered cancer diagnosis can significantly improve the longevity and quality of life of cancer patients. However, radiologists’ biggest challenge in achieving this goal has been inefficient manual detection tools.
Manual segmentation of cancer cells is costly, unpractical and time-consuming. Artificial intelligence services are empowering healthcare providers to advance cancer diagnostics and improve patient outcomes around the world.
Using computer vision and machine learning algorithms, radiologists efficiently identify tumor cells through image segmentation.
These advanced algorithms diagnose patients through CT scans within seconds. They help healthcare practitioners monitor patients’ health decline and progress.
AI imaging also enables an improved patient experience through a fast diagnosis process. Timely diagnosis empowers healthcare practitioners to determine the extent of the cancer spread and the right path for its cure.
AI services for healthcare can improve both the physician experience and patient health in the following ways:
Increasing Accuracy
Diagnosing cancer accurately can get tricky, especially in some areas of the body. Biopsies are not reliable since the physicians might miss cancer by taking a sample only from a specific location.
Magnetic Resource Imaging is another technique to diagnose cancer. However, it requires a lot of training, and different radiologists might not agree on what they see in the scans.
AI services could be the answer. AI imaging relies on high-performance algorithms based on deep networks with thousands of CT scans for the accurate and rapid detection of cancer.
They enable radiologists to skip complex procedures and instantly access results and findings automatically. The results are up to 95% accurate, a rate that was not previously achievable with either biopsies or MRIs.
Reducing Costs and Time
The traditional systems of cancer diagnosis, including biopsies and MRIs, are quite complicated and costly. MRI detects the change in the direction of the rotational axis of protons found in the water that makes up living tissues.
Radiologists must increase the speed at which these protons align with the magnetic field to obtain a clear image, which can be quite difficult and time-consuming.
Artificial Intelligence services help radiologists save time and costs relating to AI cancer diagnosis. The deep learning algorithms based on AI and ML solutions deliver a high-resolution MRI with a low response time.
Also, by integrating the data with the Cloud, radiologists can access the results anytime, anywhere.
Improving Survival Rate
Diagnosing cancer at an early stage can lead to higher survival rates. Traditional MRI isn’t useful in assessing the risk of developing certain kinds of cancers. It just produces a CT scan of the patient which isn’t analyzed further to determine future risks. AI Imaging enables radiologists to amplify the capabilities of the traditional MRI.
AI collects and processes the imaging data of millions of patients.
Based on these insights and deep learning algorithms, it then makes predictions about a particular patient’s risk of developing an AI-powered cancer diagnosis. This timely risk assessment helps improve longevity.
Enabling Fast Triage of Normal Cases
Human interpretation of CT scans can be quite slow and laborious. The radiologists might not agree on one interpretation, making a particular case more difficult than anticipated.
AI Imaging empowers radiologists to significantly reduce the need for human interpretation in most normal cases. This reduced need contributes to faster and more accurate results. It also frees up radiologists’ time to focus on abnormal cases.
Conclusion
AI services can revolutionize medical diagnostics and patient experience through powerful algorithms. Xavor is the digital transformation partner of choice for global leaders in life sciences and high-tech manufacturing.
Our legacy is designing and developing best-in-class custom applications, services, and products for life sciences and health tech leaders. Xavor is working towards enabling self-sufficiency and better living with technology and redefining healthcare with predictive data modeling.
We work with partners, including healthcare providers, academic research institutions, and the pharmaceutical industry, to develop our deep-learning solutions and empower radiologists to detect urgent cases faster and maintain quality.