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Showing 1–4 of 4 results

Advanced filters: Author: Giuseppe Argenziano Clear advanced filters

A reinforcement learning model for AI-based decision support in skin cancer

A reinforcement learning model developed to adapt artificial intelligence (AI) predictions to human preferences showed better sensitivity for skin cancer diagnoses and improved management decisions compared to a supervised learning model.

Catarina Barata
Veronica Rotemberg
Harald Kittler
ResearchOpen Access27 Jul 2023
Nature Medicine

Volume: 29, P: 1941-1946
Human–computer collaboration for skin cancer recognition

A systematic evaluation of the value of AI-based decision support in skin tumor diagnosis demonstrates the superiority of human–computer collaboration over each individual approach and supports the potential of automated approaches in diagnostic medicine.

Philipp Tschandl
Christoph Rinner
Harald Kittler
Research22 Jun 2020
Nature Medicine

Volume: 26, P: 1229-1234
Baseline IFN-γ and IL-10 expression in PBMCs could predict response to PD-1 checkpoint inhibitors in advanced melanoma patients

Emilio Francesco Giunta
Giusi Barra
Teresa Troiani
ResearchOpen Access19 Oct 2020
Scientific Reports

Volume: 10, P: 1-11
Alternative macrophage polarisation associated with resistance to anti-PD1 blockade is possibly supported by the splicing of FKBP51 immunophilin in melanoma patients

Teresa Troiani
Emilio Francesco Giunta
Simona Romano
ResearchOpen Access22 Apr 2020
British Journal of Cancer

Volume: 122, P: 1782-1790