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University of Catania

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Meistzitierte Publikationen im Bereich Gesundheit & MedTech

Accuracy of ChatGPT‐Generated Information on Head and Neck and Oromaxillofacial Surgery: A Multicenter Collaborative Analysis

Luigi Angelo Vaira, Jérôme R. Lechien, Vincenzo Abbate et al.

2023 · 115 Zit.

Quality of information and appropriateness of ChatGPT outputs for urology patients

Andrea Cocci, Marta Pezzoli, Mattia Lo Re et al.

2023 · 109 Zit.

Validity and reliability of an instrument evaluating the performance of intelligent chatbot: the Artificial Intelligence Performance Instrument (AIPI)

Jérôme R. Lechien, Antonino Maniaci, Isabelle Gengler et al.

2023 · 75 Zit.

Accuracy, readability, and understandability of large language models for prostate cancer information to the public

Jacob Hershenhouse, Daniel Mokhtar, Michael Eppler et al.

2024 · 61 Zit.

Validation of the Quality Analysis of Medical Artificial Intelligence (QAMAI) tool: a new tool to assess the quality of health information provided by AI platforms

Luigi Angelo Vaira, Jérôme R. Lechien, Vincenzo Abbate et al.

2024 · 61 Zit.

Artificial Intelligence in Andrology: From Semen Analysis to Image Diagnostics

Ramy Abou Ghayda, Rossella Cannarella, Aldo E. Calogero et al.

2023 · 60 Zit.

The Integration of Radiomics and Artificial Intelligence in Modern Medicine

Antonino Maniaci, Salvatore Lavalle, Caterina Gagliano et al.

2024 · 44 Zit.

Quality of information and appropriateness of ChatGPT outputs for urology patients

Andrea Cocci, Marta Pezzoli, Mattia Lo Re et al.

2023 · 41 Zit.

Applications of artificial intelligence in the field of oral and maxillofacial pathology: a systematic review and meta-analysis

Nishath Sayed Abdul, Ganiga Channaiah Shivakumar, Sunila Bukanakere Sangappa et al.

2024 · 40 Zit.

Artificial Intelligence in Head and Neck Cancer Diagnosis: A Comprehensive Review with Emphasis on Radiomics, Histopathological, and Molecular Applications

Giuseppe Broggi, Antonino Maniaci, Mario Lentini et al.

2024 · 35 Zit.

Lung-DT: An AI-Powered Digital Twin Framework for Thoracic Health Monitoring and Diagnosis

Roberta Avanzato, Francesco Beritelli, Alfio Lombardo et al.

2024 · 32 Zit.

Advancing microbiome research with machine learning: key findings from the ML4Microbiome COST action

Domenica D’Elia, Jaak Truu, Leo Lahti et al.

2023 · 30 Zit.

Assessing ChatGPT’s theoretical knowledge and prescriptive accuracy in bacterial infections: a comparative study with infectious diseases residents and specialists

Andrea De Vito, Nicholas Geremia, Andrea Marıno et al.

2024 · 27 Zit.

Applications of artificial intelligence in the utilisation of imaging modalities in dentistry: A systematic review and meta-analysis of in-vitro studies

Mohammad Khursheed Alam, Sultan Abdulkareem Ali Alftaikhah, Rakhi Issrani et al.

2024 · 26 Zit.

Can Clinical and Surgical Parameters Be Combined to Predict How Long It Will Take a Tibia Fracture to Heal? A Prospective Multicentre Observational Study: The FRACTING Study

Leo Massari, Francesco Benazzo, Francesco Falez et al.

2018 · 26 Zit.