Artificial intelligence (AI)-assisted ultrasound in clinical trials: Endpoint automation, decentralized monitoring, and regulatory readiness

Kenji Karako, Jianjun Gao

Open source

DOI: 10.5582/ddt.2026.01020
Published: 2026-04-30
Container: Drug Discoveries & Therapeutics
Publisher: International Research and Cooperation Association for Bio & Socio-Sciences Advancement (IRCA-BSSA)
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.5582/ddt.2026.01020,
  title = {Artificial intelligence (AI)-assisted ultrasound in clinical trials: Endpoint automation, decentralized monitoring, and regulatory readiness},
  author = {Kenji Karako and Jianjun Gao},
  year = {2026},
  journal = {Drug Discoveries \&amp; Therapeutics},
  doi = {10.5582/ddt.2026.01020},
  url = {https://doi.org/10.5582/ddt.2026.01020}
}

RIS

TY  - JOUR
TI  - Artificial intelligence (AI)-assisted ultrasound in clinical trials: Endpoint automation, decentralized monitoring, and regulatory readiness
AU  - Kenji Karako
AU  - Jianjun Gao
PY  - 2026
JO  - Drug Discoveries &amp; Therapeutics
DO  - 10.5582/ddt.2026.01020
UR  - https://doi.org/10.5582/ddt.2026.01020
ER  -

APA

Karako, K., & Gao, J. (2026). Artificial intelligence (AI)-assisted ultrasound in clinical trials: Endpoint automation, decentralized monitoring, and regulatory readiness. Drug Discoveries & Therapeutics. https://doi.org/10.5582/ddt.2026.01020

Source records

crossref · retrieved 2026-09-26T08:00:08.781Z