University of Cagliari

Comparison of Conventional Statistical Methods with Machine Learning in Medicine: Diagnosis, Drug Development, and Treatment

Hema Sekhar Reddy Rajula, Giuseppe Verlato, Mirko Manchia et al.

2020 · 565 Zit.

Role of Artificial Intelligence in Radiogenomics for Cancers in the Era of Precision Medicine

Sanjay Saxena, Biswajit Jena, Neha Gupta et al.

2022 · 115 Zit.

Artificial intelligence for cardiovascular disease risk assessment in personalised framework: a scoping review

Manasvi Singh, Ashish Kumar, Narendra N. Khanna et al.

2024 · 112 Zit.

Comparative performance of humans versus GPT-4.0 and GPT-3.5 in the self-assessment program of American Academy of Ophthalmology

Andrea Taloni, Massimiliano Borselli, Valentina Scarsi et al.

2023 · 102 Zit.

Performance of a deep learning algorithm for the evaluation of CAD-RADS classification with CCTA

Giuseppe Muscogiuri, Mattia Chiesa, Michela Trotta et al.

2019 · 99 Zit.

Artificial Intelligence for Thyroid Nodule Characterization: Where Are We Standing?

Salvatore Sorrenti, Vincenzo Dolcetti, Maija Radziņa et al.

2022 · 88 Zit.

Understanding the bias in machine learning systems for cardiovascular disease risk assessment: The first of its kind review

Jasjit S. Suri, Mrinalini Bhagawati, Sudip Paul et al.

2022 · 79 Zit.

Accuracy and Completeness of ChatGPT-Generated Information on Interceptive Orthodontics: A Multicenter Collaborative Study

Arjeta Hatia, Tiziana Doldo, Stefano Parrini et al.

2024 · 73 Zit.

Artificial intelligence bias in medical system designs: a systematic review

Ashish Kumar, Vivekanand Aelgani, Rubeena Vohra et al.

2023 · 54 Zit.

Large Language Model Advanced Data Analysis Abuse to Create a Fake Data Set in Medical Research

Andrea Taloni, Vincenzo Scorcia, Giuseppe Giannaccare

2023 · 50 Zit.

ChatGPT vs. neurologists: a cross-sectional study investigating preference, satisfaction ratings and perceived empathy in responses among people living with multiple sclerosis

Elisabetta Maida, Marcello Moccia, Raffaele Palladino et al.

2024 · 48 Zit.

Integration of cardiovascular risk assessment with COVID-19 using artificial intelligence

Jasjit S. Suri, Anudeep Puvvula, Misha Majhail et al.

2020 · 35 Zit.

Deep Learning for COVID-19 Diagnosis from CT Images

Andrea Loddo, Fabio Pili, Cecilia Di Ruberto

2021 · 26 Zit.

The unintended consequences of artificial intelligence in paediatric radiology

Pierluigi Ciet, Christine Eade, Mai‐Lan Ho et al.

2023 · 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.