Early and accurate diagnosis of brain lesions is very crucial. In some cases, tumor resection and chemoradiation treatment can be curative. MRI images with contrast are the most commonly used MRI sequences to diagnose brain malignancies. The metastatic lesions vary in sizes and some can be barely visible by human eyes. Small brain lesions have a risk of being missed by radiologists. It may be possible for a radiologist to miss a small brain metastasis on MRI scan due to human error. Our AI algorithm to detect brain metastasis is highly accurate and can detect brain malignancies in three different planes. Detecting in multiple planes including axial, coronal and sagittal planes allows our algorithm to achieve high accuracy rates. This algorithm measures the mass volume which can be transferred to patient’s radiology report.
There are multiple utilizations of AI. Of these, one of the most clinically consequential areas may be detection of malignancies and distant metastatic spread of cancer. Early and accurate detection of metastasis is crucial for optimal prognosis. As noted, human errors lead to thousands of misses of the brain metastases, particularly important for those patients who are on MRI surveillance.
Missed tumors can have grave consequences for patients as it may delay or exclude treatment options for the patients may have available. Oncologists depend heavily on radiology reports to develop optimal treatment plans. If the read is not accurate, it may change the treatment plan dramatically. For this reason, VAI radiology has developed an AI algorithm to help radiologists to optimize accuracy when evaluating for brain malignancy. This AI algorithm is conjuncture with radiologist read to provide accurate reports.
Our AI algorithms are in the research phase and seeking FDA approval. Currently we are offering AI algorithm to continue with R&D (Research and Development) in this area