Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Cancer Survival Analysis

Cancer Survival Analysis

Cancer survival analysis focuses on quantifying and interpreting the time from a key starting point, such as diagnosis or the initiation of treatment, to a specific endpoint, such as remission or death. This analysis provides critical insights into treatment effectiveness and factors that influence patient outcomes, helping to shape clinical decisions and guide prognostic evaluations. A cornerstone of oncology research, survival analysis tackles the challenges of skewed, non-normally...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Incidental Renal Cell Carcinoma in an Active-Duty Fighter Pilot.

Aerospace medicine and human performance·2026

Same author

Vibecotamab for measurable residual disease in acute myeloid leukemia and for myelodysplastic syndromes and chronic myelomonocytic leukemia after hypomethylating agent failure: a phase II study.

Journal of hematology & oncology·2026

Same author

Investigational clinical trial agents versus conventional second salvage therapies in patients with relapsed/refractory acute myeloid leukemia.

Clinical cancer research : an official journal of the American Association for Cancer Research·2026

Same author

Correction: How safe is teaching radical cystectomy?

World journal of urology·2026

Same author

Feasibility of intracranial stereotactic radiotherapy on Halcyon™ with SGRT and open-face masks.

Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB)·2026

Same author

Barriers to healthcare and justice for sexual and gender-based violence survivors in Sierra Leone: A gender-integrated socio-ecological analysis.

Archives of public health = Archives belges de sante publique·2026

Search research articles

Related Experiment Video

Updated: Jul 8, 2025

Semiconductor Sequencing for Preimplantation Genetic Testing for Aneuploidy

Semiconductor Sequencing for Preimplantation Genetic Testing for Aneuploidy

Published on: August 25, 2019

Evaluation of ChatGPT and Google Bard Using Prompt Engineering in Cancer Screening Algorithms.

Daniel Nguyen¹, Daniel Swanson¹, Alex Newbury²

¹University of Massachusetts Chan Medical School, Worcester, Massachusetts (D.N., D.S.).

Academic Radiology

|December 16, 2023

Summary

Large language models (LLMs) show potential in clinical decision-making, with ChatGPT and Bard demonstrating comparable accuracy. Prompt engineering offered minor improvements for open-ended questions but not select-all-that-apply formats.

More Related Videos

Author Spotlight: Finding New Therapeutic Targets for Malignant Peripheral Nerve Sheath Tumor Through Genome-Scale shRNA Screens

Author Spotlight: Finding New Therapeutic Targets for Malignant Peripheral Nerve Sheath Tumor Through Genome-Scale shRNA Screens

Published on: August 25, 2023

Integration of Wet and Dry Bench Processes Optimizes Targeted Next-generation Sequencing of Low-quality and Low-quantity Tumor Biopsies

Integration of Wet and Dry Bench Processes Optimizes Targeted Next-generation Sequencing of Low-quality and Low-quantity Tumor Biopsies

Published on: April 11, 2016

Related Experiment Videos

Last Updated: Jul 8, 2025

Semiconductor Sequencing for Preimplantation Genetic Testing for Aneuploidy

Semiconductor Sequencing for Preimplantation Genetic Testing for Aneuploidy

Published on: August 25, 2019

Author Spotlight: Finding New Therapeutic Targets for Malignant Peripheral Nerve Sheath Tumor Through Genome-Scale shRNA Screens

Author Spotlight: Finding New Therapeutic Targets for Malignant Peripheral Nerve Sheath Tumor Through Genome-Scale shRNA Screens

Published on: August 25, 2023

Integration of Wet and Dry Bench Processes Optimizes Targeted Next-generation Sequencing of Low-quality and Low-quantity Tumor Biopsies

Integration of Wet and Dry Bench Processes Optimizes Targeted Next-generation Sequencing of Low-quality and Low-quantity Tumor Biopsies

Published on: April 11, 2016

Area of Science:

Artificial Intelligence in Medicine
Clinical Decision Support Systems
Radiology Informatics

Background:

Large language models (LLMs) like ChatGPT and Bard are increasingly used in medical tasks, including radiology report translation and research drafting.
Despite their potential, the accuracy of LLM responses in clinical settings is inconsistent, necessitating careful evaluation.

Purpose of the Study:

To assess the accuracy of ChatGPT and Bard in clinical decision-making using the American College of Radiology Appropriateness Criteria for cancer-related scenarios.
To evaluate the impact of prompt engineering (PE) techniques on LLM response accuracy for different question formats.

Main Methods:

ChatGPT and Bard were tested with open-ended (OE) and select-all-that-apply (SATA) prompts based on established clinical guidelines.
Prompt engineering techniques were applied to investigate their effect on the accuracy of LLM outputs.
Performance was compared between the two LLMs and across different prompt types.

Main Results:

ChatGPT and Bard performed similarly on OE prompts.
ChatGPT showed a slight accuracy advantage over Bard in SATA prompts.
Prompt engineering marginally improved OE prompt responses but did not significantly enhance SATA prompt accuracy.

Conclusions:

LLMs show promise as tools to assist clinical decision-making in radiology, particularly when prompts are carefully engineered.
Further research across diverse clinical contexts is essential to fully understand the role and limitations of LLMs in radiology practice.