Istituti di Ricovero e Cura a Carattere Scientifico
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Meistzitierte Publikationen im Bereich Gesundheit & MedTech
ChatGPT and the rise of large language models: the new AI-driven infodemic threat in public health
Luigi De Angelis, Francesco Baglivo, Guglielmo Arzilli et al.
2023 · 612 Zit.
Biobanking in health care: evolution and future directions
Luigi Coppola, Alessandra Cianflone, Anna Grimaldi et al.
2019 · 391 Zit.
Artificial intelligence and machine learning in spine research
Fabio Galbusera, Gloria Casaroli, Tito Bassani
2019 · 311 Zit.
Towards clinical application of image mining: a systematic review on artificial intelligence and radiomics
Martina Sollini, Lidija Antunovic, Arturo Chiti et al.
2019 · 253 Zit.
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.
2021 · 233 Zit.
Experimental evidence of effective human–AI collaboration in medical decision-making
Carlo Reverberi, Tommaso Rigon, Aldo Solari et al.
2022 · 177 Zit.
Artificial Intelligence & Creativity: A Manifesto for Collaboration
Florent Vinchon, Todd Lubart, Sabrina Bartolotta et al.
2023 · 171 Zit.
A single dose of erythropoietin in ST-elevation myocardial infarction
Adriaan A. Voors, Anne M.S. Belonje, Felix Zijlstra et al.
2010 · 145 Zit.
Characteristics of academic publications, preprints, and registered clinical trials on the COVID-19 pandemic
Silvia Gianola, Tiago S. Jesus, Silvia Bargeri et al.
2020 · 133 Zit.
Artificial Intelligence for Alzheimer’s Disease: Promise or Challenge?
Carlo Fabrizio, Andrea Termine, Carlo Caltagirone et al.
2021 · 132 Zit.
Data Sharing Under the General Data Protection Regulation
Antonia Vlahou, Dara Hallinan, Rolf Apweiler et al.
2021 · 121 Zit.
Federated benchmarking of medical artificial intelligence with MedPerf
Alexandros Karargyris, Renato Umeton, Micah Sheller et al.
2023 · 110 Zit.
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.
2023 · 109 Zit.
Bridging the “last mile” gap between AI implementation and operation: “data awareness” that matters
Federico Cabitza, Andrea Campagner, Clara Balsano
2020 · 106 Zit.
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.
2023 · 96 Zit.