Unlocking the Power of AI: The Vital Role of Structured Reporting
… read. Structured reporting templates, such as iRECIST, RADS, and the TNM classification system are…
University Hospital Ulm: CT Radiomics and Machine Learning in Sarcopenia Evaluation for Esophageal and Gastric Cancer Patients
… the response evaluation criteria in solid tumors (RECIST 1.1). On average, patients with sarcopenia did not…
Scientific Publications
… Response Evaluation Using iRECIST: Feasibility and Reliability of Manual Versus…
Study with mint Lesion™ compares the Efficacy of SIRT and CS-PHP in Uveal Melanoma with Hepatic Metastasis
… the Response Evaluation Criteria in Solid Tumors (RECIST 1.1). The study observed that the disease control…
University Hospital Tuebingen: Study compares the Efficacy of SIRT and CS-PHP in Uveal Melanoma with Hepatic Metastasis
… the Response Evaluation Criteria in Solid Tumors (RECIST 1.1). The study observed that the disease control…
ESOI-EORTC Workshop on Imaging in Assessing Response to Cancer Therapy - A Participant's Perspective
… have been planning to attend the ESOI-EORTC RECIST workshop for the past two years. Prior commitments…
Study Discovers Overdiagnosis of Progressive Cancer in Routine Clinical Evaluations
… progressive disease when compared to RECIST 1.1 interpretations. This discrepancy holds…
WUSTL: Discrepant Assessments of Progressive Disease in Clinical Trials between Routine Clinical Reads and Formal RECIST 1.1 Interpretations
… of progressive disease compared to formal RECIST 1.1 interpretations. This discrepancy could lead to…
AI in Radiology: Bridging the Gap Between Integration Challenges and Untapped Potential
… the one offered by mint Lesion™, provides a robust foundation for seamlessly integrating AI into radiology…