Azienda Ospedaliero-Universitaria Cagliari

Economics of Artificial Intelligence in Healthcare: Diagnosis vs. Treatment

Narendra N. Khanna, Mahesh Maindarkar, Vijay Viswanathan et al.

2022 · 309 Zit.

Current applications and challenges in large language models for patient care: a systematic review

Felix Busch, Lena Hoffmann, Christopher Rueger et al.

2025 · 141 Zit.

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

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

2024 · 113 Zit.

Integrative analysis for COVID-19 patient outcome prediction

Hanqing Chao, Xi Fang, Jiajin Zhang et al.

2021 · 80 Zit.

Large language models for structured reporting in radiology: past, present, and future

Felix Busch, Lena Hoffmann, Daniel Santos et al.

2024 · 66 Zit.

Six artificial intelligence paradigms for tissue characterisation and classification of non-COVID-19 pneumonia against COVID-19 pneumonia in computed tomography lungs

Luca Saba, Mohit Agarwal, Anubhav Patrick et al.

2021 · 64 Zit.

COVLIAS 2.0-cXAI: Cloud-Based Explainable Deep Learning System for COVID-19 Lesion Localization in Computed Tomography Scans

Jasjit S. Suri, Sushant Agarwal, Gian Luca Chabert et al.

2022 · 58 Zit.

Blockchain, artificial intelligence, and healthcare: the tripod of future—a narrative review

Archana Bathula, Suneet Kumar Gupta, M. Suresh et al.

2024 · 57 Zit.

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

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

2020 · 35 Zit.

Multinational Attitudes Toward AI in Health Care and Diagnostics Among Hospital Patients

Felix Busch, Lena Hoffmann, Lina Xu et al.

2025 · 29 Zit.

Systematic Review of Large Language Models for Patient Care: Current Applications and Challenges

Felix Busch, Lena Hoffmann, Christopher Rueger et al.

2024 · 27 Zit.

Addressing hidden risks: Systematic review of artificial intelligence biases across racial and ethnic groups in cardiovascular diseases

Riccardo Cau, Francesco Pisu, Jasjit S. Suri et al.

2024 · 19 Zit.

A Pharmaceutical Paradigm for Cardiovascular Composite Risk Assessment Using Novel Radiogenomics Risk Predictors in Precision Explainable Artificial Intelligence Framework: Clinical Trial Tool

Luca Saba, Mahesh Maindarkar, Narendra N. Khanna et al.

2023 · 12 Zit.

Multinational attitudes towards AI in healthcare and diagnostics among hospital patients

Felix Busch, Lena Hoffmann, Lina Xu et al.

2024 · 8 Zit.

Personalized Medicine for Cardiovascular Disease Risk in Artificial Intelligence Framework

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

2023 · 5 Zit.