Advancements in M-Healthcare for the Detection and Management of Brain Metastases

Brain metastases (BM) are secondary brain tumors originating from cancer cells that have spread from primary tumors in other parts of the body, and they are the most common type of brain tumor in adults. Primary cancers that frequently metastasize to the brain include lung, breast, melanoma, and renal cell carcinoma. These metastases significantly impact patient morbidity and mortality, with treatment strategies involving surgical resection, radiation therapy, systemic therapies, and stereotactic radiosurgery (SRS). The localization and segmentation of brain metastases tackle numerous pivotal challenges in the clinical management of cancer patients. Deep learning models for detection are essential for improving treatment efficacy and patient outcomes by enhancing the accuracy and efficiency of identifying metastatic lesions. Additionally, integrating mobile healthcare (m-healthcare) solutions enables continuous patient monitoring, real-time data collection, and remote consultations. This integration supports personalized care, timely treatment adjustments, and improved patient adherence, ultimately enhancing the quality of care and life for patients with brain metastases. The aim of this project is to develop an efficient patient-centered approach using deep learning and m-healthcare technologies to improve the detection, monitoring, and treatment of brain metastases, thereby optimizing patient outcomes and quality of life.