Liverpool Hospital

Designing Futuristic Telemedicine Using Artificial Intelligence and Robotics in the COVID-19 Era

Sonu Bhaskar, Sian Bradley, Sateesh Sakhamuri et al.

2020 · 135 Zit.

A pilot study of the use of <scp>artificial intelligence</scp> with high‐fidelity simulations in assessing endovascular procedural competence independent of a human examiner

Erin C. Saricilar, Annette Burgess, Anthony Freeman

2023 · 9 Zit.

Application of Generative Artificial Intelligence for Physician and Patient Oncology Letters—AI-OncLetters

Adel Shahnam, Udit Nindra, Nadia Hitchen et al.

2025 · 7 Zit.

ChatGPT-4 for addressing patient-centred frequently asked questions in age-related macular degeneration clinical practice

Henrietta Wang, Amanda Ie, Thomas Chan et al.

2025 · 6 Zit.

Artificial intelligence and machine learning in thrombosis and hemostasis: a scoping review of clinical and laboratory applications, challenges, and future directions

Mohammad A. Altememi, Emmanuel J. Favaloro, Md Zahidul Islam et al.

2025 · 4 Zit.

Incidental findings in brain imaging research: spotlight on ethical considerations

Sonu Bhaskar

2022 · 3 Zit.

Enhancing cardiovascular risk prediction in Asian populations: A machine learning approach integrated with digital health platforms

Sazzli Kasim, Putri Nur Fatin Amir Rudin, Xue Ning Kiew et al.

2025 · 2 Zit.

Novel artificial intelligence-based hypodensity detection tool improves clinician identification of hypodensity on non-contrast computed tomography in stroke patients

Angela Dos Santos, Milanka Visser, Longting Lin et al.

2024 · 1 Zit.

The reporting of reproducibility of cardiac imaging biomarkers

Sukhmandeep Sangha, Alpa Gupta, Kazuaki Negishi et al.

2020 · 1 Zit.

Friday 20 October 2017

Rahman Jabin, MD Shafiqur, Magrabi, Farah, Mandel, Catherine et al.

2017 · 1 Zit.

P1254 CCCare: A clinician-led, people-centric model for scalable data-driven Improvement in Inflammatory Bowel Disease care

B Petch, D Carter, S J Connor et al.

2026 · 0 Zit.

Face the Coronary Artery Disease: A Literature Review of Using Artificial Intelligence to Analyse Facial Features in Predicting Underlying Coronary Artery Disease

J. Ang, T. Wong, J. Assad et al.

2025 · 0 Zit.

Evaluation of Responses to Coronary Angiogram Questions Using Chat-Based Artificial Intelligence

Tiffany Wong, James S. Ang

2025 · 0 Zit.

Performance Evaluation of Large Language Models With Retrieval-Augmented Generation in Cardiology Specialist Examinations in Japan

Hiromasa Hayama, Tu Hao Tran, Jin Kirigaya et al.

2025 · 0 Zit.

Multimodal CT Perfusion–Based Deep Learning for Predicting Stroke Lesion Outcomes in Complete and No Recanalization Scenarios

Hongxi Yang, Yasmeen George, Deval Mehta et al.

2025 · 0 Zit.