首页|Data on Artificial Intelligence Reported by Livia Fucci and Colleagues (An artif icial intelligence-based model exploiting H&E images to predict rec urrence in negative sentinel lymph-node melanoma patients)
Data on Artificial Intelligence Reported by Livia Fucci and Colleagues (An artif icial intelligence-based model exploiting H&E images to predict rec urrence in negative sentinel lymph-node melanoma patients)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Artificial Intelligenc e is the subject of a report. According to news reporting from Bari, Italy, by N ewsRx journalists, research stated, “Risk stratification and treatment benefit p rediction models are urgent to improve negative sentinel lymph node (SLN-) melan oma patient selection, thus avoiding costly and toxic treatments in patients at low risk of recurrence. To this end, the application of artificial intelligence (AI) could help clinicians to better calculate the recurrence risk and choose wh ether to perform adjuvant therapy.”
BariItalyEuropeArtificial Intellig enceCancerEmerging TechnologiesHealth and MedicineHemic and Immune Syste msImmunologyLymph NodesLymphoid TissueMachine LearningMelanomaOncolo gyRisk and Prevention
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