TY - GEN
T1 - Demo
T2 - 10th IEEE/ACM International Conference on Connected Health: Applications, Systems and Engineering Technologies, CHASE 2025
AU - Arif, Shibbir Ahmed
AU - Gopeekrishnan, Anand
AU - Liu, Hao
AU - Varde, Aparna S.
N1 - Publisher Copyright:
© 2025 ACM.
PY - 2025
Y1 - 2025
N2 - In this study, we propose a framework for clinical trial ranking with the integration of Large Language Models (LLMs). Leveraging the strength of LLMs, we expect to accelerate and enhance the trial ranking process with the development of a vector database generated by encoding some crucial parts of MIMIC-IV discharge notes, such as medication of admission, history of illness, and brief hospital course, along with the list of clinical trials and their associated PubMed literature. Based on the filtered list of clinical trials extracted from the vector database, we prompt LLMs to determine their relevance to the PubMed literature. We aim to investigate the efficacy and efficiency of LLMs integration to accelerate clinical trial ranking and intelligent recruitment of clinical trials.
AB - In this study, we propose a framework for clinical trial ranking with the integration of Large Language Models (LLMs). Leveraging the strength of LLMs, we expect to accelerate and enhance the trial ranking process with the development of a vector database generated by encoding some crucial parts of MIMIC-IV discharge notes, such as medication of admission, history of illness, and brief hospital course, along with the list of clinical trials and their associated PubMed literature. Based on the filtered list of clinical trials extracted from the vector database, we prompt LLMs to determine their relevance to the PubMed literature. We aim to investigate the efficacy and efficiency of LLMs integration to accelerate clinical trial ranking and intelligent recruitment of clinical trials.
KW - clinical trial
KW - eligibility criteria
KW - llm
KW - trial ranking
UR - https://www.scopus.com/pages/publications/105016156437
U2 - 10.1145/3721201.3725511
DO - 10.1145/3721201.3725511
M3 - Conference contribution
AN - SCOPUS:105016156437
T3 - Proceedings - 2025 IEEE/ACM International Conference on Connected Health: Applications, Systems and Engineering Technologies, CHASE 2025
SP - 476
EP - 477
BT - Proceedings - 2025 IEEE/ACM International Conference on Connected Health
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 24 June 2025 through 26 June 2025
ER -