United States – In a new study, scientists present an Artificial Intelligence system which makes it easier to echo the metastasis of breast cancer by using MRI scans which is a method less invasive as compared to the biopsy.
Promising Reduction in Surgical Biopsies
Initial trials demonstrate the AI’s potential to significantly decrease the need for redundant surgical biopsies to check for lymph node cancer by an impressive 51%, while simultaneously achieving a remarkable 95% accuracy rate in identifying patients with metastatic breast cancer, as reported by HealthDay.
Addressing Critical Challenges in Breast Cancer Care
Lead researcher Dr. Basak Dogan, Director of Breast Imaging Research at UT Southwestern Medical Center, underscores the urgency of early detection in combating breast cancer, particularly as it often spreads to armpit lymph nodes, emphasizing the critical role of accurate diagnosis in effective disease management.
AI Surpasses Human Expertise in Diagnostic Accuracy
Recent studies published in Radiology: Concerning the paper titled The Application of Imaging in Cancer, it described that the AI model showed better accuracy in detecting breast cancer metastases than human doctors who used MRI or ultrasound treatment modalities, which indicated a major advancement in diagnostic accuracy.
Optimizing Critical Care Patient Safety and Treatment Outcomes
Dr. Dogan believes that with the integration of AI technology in the surgical biopsy process, the risk factors that surround the said technique are reduced dramatically, which is beneficial not only for the patients but also in achieving better patient outcomes reduced mortality rates among women with breast cancer, or other malignancies, as reported by HealthDay.