Anna Carobene

The importance of being external. methodological insights for the external validation of machine learning models in medicine

Federico Cabitza, Andrea Campagner, Felipe Soares et al. · Computer Methods and Programs in Biomedicine · 2021 · 256 citations · Full text

Pharmacy, Computer Science, Health Informatics +16

Development, evaluation, and validation of machine learning models for COVID-19 detection based on routine blood tests

Federico Cabitza, Andrea Campagner, Davide Ferrari et al. · Clinical Chemistry and Laboratory Medicine (CCLM) · 2020 · 165 citations · Full text

Medicine, Computer Science, Infectious Diseases +15

A checklist for critical appraisal of studies of biological variation

William A. Bartlett, Federica Braga, Anna Carobene et al. · Clinical Chemistry and Laboratory Medicine (CCLM) · 2015 · 149 citations · Full text

Pharmacy, Biostatistics, Molecular Epidemiology +12

Potentials and pitfalls of ChatGPT and natural-language artificial intelligence models for the understanding of laboratory medicine test results. An assessment by the European Federation of Clinical Chemistry and Laboratory Medicine (EFLM) Working Group on Artificial Intelligence (WG-AI)

Janne Cadamuro, Federico Cabitza, Željko Debeljak et al. · Clinical Chemistry and Laboratory Medicine (CCLM) · 2023 · 118 citations · Full text

Computing, Computer Science, Health Informatics +13

Rising adoption of artificial intelligence in scientific publishing: evaluating the role, risks, and ethical implications in paper drafting and review process

Anna Carobene, Andrea Padoan, Federico Cabitza et al. · Clinical Chemistry and Laboratory Medicine (CCLM) · 2023 · 116 citations · Full text

Public Health, Computer Science, Artificial Intelligence +16