Abbas Smiley

University of Rochester, Westchester Medical Center

Papers

Total Citations

186

H-Index

About

Abbas Smiley is a researcher whose work bridges the transformative potential of artificial intelligence with the practical realities of surgical recovery. His most cited paper, a comprehensive 2024 review on "Artificial Intelligence and Healthcare," has garnered 176 citations, tracing AI’s evolution from its 1960s origins to its current role in diagnostics, treatment, and patient management. This work positions him as a key voice in understanding how machine learning is reshaping modern medicine. In a complementary vein, Smiley leads rigorous clinical investigations, such as his 2023 three-armed randomized controlled trial examining coffee’s effect on bowel recovery after minimally invasive colorectal operations. Though smaller in citation count (10), this study exemplifies his commitment to evidence-based, patient-centered research. By merging high-impact AI analysis with hands-on surgical trials, Smiley demonstrates a rare ability to navigate both the macro-level promise of technology and the micro-level details of postoperative care. His work offers students and researchers a model for integrating computational innovation with tangible clinical outcomes, making him a notable figure in the evolving landscape of healthcare research.