Framework for 10X Acceleration of Open Clinical AI Science

5 pages•Published: April 19, 2026

Abstract

Although generative AI (GenAI) is transforming healthcare, it may take decades for its clinical impact to be fully realized due to inefficiencies in clinical science. Here, we propose a new vision for open clinical AI science and present a practical framework that provides free GenAI prediction services for all doctors worldwide. This approach enables widespread participation in the generation and dissemination of new evidence for the responsible use of GenAI in clinical care across all diseases. Broad adoption of responsible use of open GenAI services by physicians will lead to more timely diagnoses and treatments, facilitate the sharing of synthetic data and fine-tuned AI models, and thus accelerate open clinical AI science by a factor of ten.

Keyphrases: chatgpt, clinical science, genai revolution, generative ai, healthcare transformation, large language models, learning health systems, lhs unit, open clinical ai science

In: Jernej Masnec, Hamid Reza Karimian, Parisa Kordjamshidi and Yan Li (editors). Proceedings of AI for Accelerated Research Symposium, vol 3, pages 11-15.

Links:	https://easychair.org/publications/paper/TPKw
	https://doi.org/10.29007/ds67

BibTeX entry

@inproceedings{AIAS2025:Framework_10X_Acceleration_Open,
  author    = {Anjun Chen and Lu Tian and Jorg Rodriguez},
  title     = {Framework for 10X Acceleration of Open Clinical AI Science},
  booktitle = {Proceedings of AI for Accelerated Research Symposium},
  editor    = {Jernej Masnec and Hamid Reza Karimian and Parisa Kordjamshidi and Yan Li},
  series    = {EPiC Series in Technology},
  volume    = {3},
  publisher = {EasyChair},
  bibsource = {EasyChair, https://easychair.org},
  issn      = {2516-2322},
  url       = {/publications/paper/TPKw},
  doi       = {10.29007/ds67},
  pages     = {11-15},
  year      = {2026}}

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