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Peer-reviewedCC BY-NC-ND 4.0NPJ Digital Medicine

Clinical trials and evaluation of AI tools in solid organ transplantation: implications for clinical care, regulatory science, and rare diseases

  • Bima J. Hasjim1,2
  • Annabel Koivu1
  • Mina Sagheb1
  • Wei Xu3,4
  • Jennifer Y. Lee1
  • Aman Sidhu1,5
  • Mamatha Bhat1,6,7
7 affiliations
  1. 1Transplant AI initiative, Ajmera Transplant Centre, University Health Network, University of Toronto, Toronto, ON Canada
  2. 2Department of Surgery, University of California – Irvine, Orange, CA USA
  3. 3Biostatistics Department, University Health Network, University of Toronto, Toronto, ON Canada
  4. 4Dalla Lana School of Public Health, University of Toronto, Toronto, ON Canada
  5. 5Division of Respirology, Department of Medicine, University of Toronto, Toronto, ON Canada
  6. 6Division of Gastroenterology & Hepatology, Department of Medicine, University of Toronto, Toronto, ON Canada
  7. 7Vector Institute, Toronto, ON Canada
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Abstract

Artificial Intelligence (AI) has widespread applications in solid organ transplantation (SOT), a field that fundamentally depends on optimizing complex paradigms across the continuum of care—from organ allocation to post-transplant management. However, only a minority have been tested through clinical trials. This perspective aims to synthesize the literature, identify gaps, and future directions for clinical trials of AI tools in SOT and how they may inform applications in related contexts.

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Cite

BibTeXRIS
BibTeX
@article{hasjim2026clinical,
  title = {{Clinical trials and evaluation of AI tools in solid organ transplantation: implications for clinical care, regulatory science, and rare diseases}},
  author = {Bima J. Hasjim and Annabel Koivu and Mina Sagheb and Wei Xu and Jennifer Y. Lee and Aman Sidhu and Mamatha Bhat},
  journal = {NPJ Digital Medicine},
  year = {2026},
  month = jul,
  doi = {10.1038/s41746-026-02963-1},
  url = {https://doi.org/10.1038/s41746-026-02963-1},
  note = {CC BY-NC-ND 4.0},
}
RIS
TY  - JOUR
TI  - Clinical trials and evaluation of AI tools in solid organ transplantation: implications for clinical care, regulatory science, and rare diseases
AU  - Bima J. Hasjim
AU  - Annabel Koivu
AU  - Mina Sagheb
AU  - Wei Xu
AU  - Jennifer Y. Lee
AU  - Aman Sidhu
AU  - Mamatha Bhat
PY  - 2026
DA  - 2026/07/07
JO  - NPJ Digital Medicine
DO  - 10.1038/s41746-026-02963-1
UR  - https://doi.org/10.1038/s41746-026-02963-1
AB  - Artificial Intelligence (AI) has widespread applications in solid organ transplantation (SOT), a field that fundamentally depends on optimizing complex paradigms across the continuum of care—from organ allocation to post-transplant management. However, only a minority have been tested through clinical trials. This perspective aims to synthesize the literature, identify gaps, and future directions for clinical trials of AI tools in SOT and how they may inform applications in related contexts.
SN  - 2398-6352
ER  -