Texas A&M University – Corpus Christi

Application of explainable artificial intelligence in medical health: A systematic review of interpretability methods

Shahab S. Band, Atefeh Yarahmadi, Chung-Chian Hsu et al.

2023 · 239 Zit.

Artificial Intelligence in Nephrology: Clinical Applications and Challenges

Prabhat Singh, Lokesh Goyal, Deobrat C Mallick et al.

2024 · 26 Zit.

Pairing Human and Artificial Intelligence: Enforcing Access Control Policies with LLMs and Formal Specifications

Carlos Rubio-Medrano, Akash Kotak, Wenlu Wang et al.

2024 · 7 Zit.

Promise and Challenges of Generative AI in Healthcare Information Systems

Stanislav Ustymenko, Abhishek Phadke

2024 · 4 Zit.

Current utilization and impact of AI LVO detection tools in acute stroke triage: a multicenter survey analysis

Ziad Darkhabani, Rime Ezzeldin, Adam Delora et al.

2025 · 2 Zit.

Exploring Artificial Intelligence in Hospice and Palliative Care: An Integrative Review of Technological and Clinical Approaches

Tuzhen Xu, Caiyi Liu, Lin Li et al.

2026 · 1 Zit.

Braces meet bots: straight teeth and straight answers?

Soumya Narayani Thirumoorthy, Saumiya Gopal, Darshit Shah

2025 · 0 Zit.

Role of artificial intelligence in predicting the renal function after nephrectomy in renal cell carcinoma: a systematic review and meta-analysis

Mohamed Javid, Mahmoud Eldefrawy, Sai Raghavendra Sridhar et al.

2025 · 0 Zit.