Peer-reviewedLicence not statedJSLS : Journal of the Society of Laparoscopic & Robotic Surgeons
Wetter’s Digital Twin: A Patient-Specific Framework for Artificial Intelligence and Healthcare
- 1University of Miami Miller School of Medicine, Miami, Florida, USA.
Related
- Artificial Intelligence and Mobile Health Technologies for Improved Healthcare Access: Design and Pilot Evaluation of an Integrated Digital Health Platform for a Nigerian Teaching Hospital
- Artificial intelligence (AI) anxiety and nurses’ turnover intention during healthcare digital transformation: the mediating role of occupational fatigue
- Impact of Artificial Intelligence on Operational Efficiency and Cost Reduction in U.S. Healthcare Organizations
- Bias Mitigation Across the Healthcare Artificial Intelligence Lifecycle: A Structured Narrative Review
- Predictors of Intentions to Learn and Adopt Medical Artificial Intelligence Among Healthcare Professionals in Ghana: A Descriptive Cross‐Sectional Study
BibTeX
@article{wetter2026wetters,
title = {{Wetter’s Digital Twin: A Patient-Specific Framework for Artificial Intelligence and Healthcare}},
author = {Paul Alan Wetter},
journal = {JSLS : Journal of the Society of Laparoscopic \& Robotic Surgeons},
year = {2026},
month = nov,
doi = {10.4293/jsls.2026.00112},
url = {https://doi.org/10.4293/jsls.2026.00112},
}
RIS
TY - JOUR
TI - Wetter’s Digital Twin: A Patient-Specific Framework for Artificial Intelligence and Healthcare
AU - Paul Alan Wetter
PY - 2026
DA - 2026/11/04
JO - JSLS : Journal of the Society of Laparoscopic & Robotic Surgeons
DO - 10.4293/jsls.2026.00112
UR - https://doi.org/10.4293/jsls.2026.00112
SN - 1086-8089
SN - 1938-3797
ER -