Publications by authors named "L Fabrizi"

Background: The use of artificial intelligence (AI) for pain assessment has the potential to address historical challenges in infant pain assessment. There is a dearth of information on the perceived benefits and barriers to the implementation of AI for neonatal pain monitoring in the neonatal intensive care unit (NICU) from the perspective of health care professionals (HCPs) and parents. This qualitative analysis provides novel data obtained from 2 large tertiary care hospitals in Canada and the United Kingdom.

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Background: After the LACC trial publication in 2018, the minimally invasive approach (MIS) has severely decreased in favor of open surgery: MIS radical hysterectomy was associated with worse oncological outcomes than open surgery, but urological complications were never extensively explored in pre- versus post-LACC eras, even if they had a great impact on post-operative QoL. The purpose of this meta-analysis is to compare functional and organic urological complication rates before and after LACC trial.

Methods: An independent search of the literature was conducted 4 years before and after the LACC trial and 50 studies were included.

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A huge effort has been done in redefining endometrial cancer (EC) risk classes in the last decade. However, known prognostic factors (FIGO staging and grading, biomolecular classification and ESMO-ESGO-ESTRO risk classes stratification) are not able to predict outcomes and especially recurrences. Biomolecular classification has helped in re-classifying patients for a more appropriate adjuvant treatment and clinical studies suggest that currently used molecular classification improves the risk assessment of women with EC, however, it does not clearly explain differences in recurrence profiles.

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