Angela Mastronuzzi: A bibliometric analysis of the publications on AI tools for pediatric brain tumors

Angela Mastronuzzi recently shared on LinkedIn:

“Our review has just been published with Frontiers!

We performed a bibliometric analysis of the publications on AI tools for pediatric brain tumors, and we examined the type of data used, data sources, and geographic location of cohorts to evaluate the generalizability of the algorithms.

In summary, this review highlights several potential sources of bias in AI tools developed for pediatric CNS tumors that may limit their clinical application.

– It is of paramount importance to promote the adoption of FAIR Principles during the development of AI tools.
– Expanding existing networks that adhere to the same standards could benefit the development of EU-funded research and development projects, and data exchange through the European Health Data Space.
– Decentralized privacy-preserving technologies such as federated learning and synthetic data may accelerate the development of AI tools based on large populations from different clinical sites while complying with EU privacy regulations.
– Data access remains the biggest challenge in training and developing AI tools and requires significant research effort and investment to enable their development for pediatric brain tumors.

This work was supported by UNICA4EU and the Italian Ministry of Health.”

Source and a link to the article: Angela Mastronuzzi/LinkedIn

Angela Mastronuzzi is pediatric hematologist-oncologist and the Head of Neuro-Oncology Unit at Bambino Gesù Children’s Hospital (Italy). She is also a professor at the UniCamillus International Medical University, and a Board Member of AIEOP (Associazione Italiana Ematologia Oncologia Pediatrica). Her main fields of interest are CNS tumors and innovative therapies. She is the author of more than 180 scientific publications in peer-reviewed international journals.