Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Clinical Trials: Overview01:11

Clinical Trials: Overview

3.4K
Clinical development focuses on how the drug will interact with the human body and encompasses four key phases of clinical trials, each serving a specific purpose in assessing the safety and effectiveness of new drugs. These phases overlap and build upon one another. Phase I involves a small group of healthy volunteers (typically 20-80 individuals) or, in cases where significant toxicity is expected, patients with the targeted disease, such as cancer or AIDS. The volunteers are tested for...
3.4K
Study Design in Statistics01:15

Study Design in Statistics

8.4K
A study design is a set of techniques that allow a researcher to collect and analyze data from different variables defined for a specific research problem. Statistics is commonly for effective study design and more robust experiments,
Does aspirin reduce the risk of heart attacks? Is one brand of fertilizer more effective at growing roses than another? Is fatigue as dangerous to a driver as the influence of alcohol? Questions like these are answered using randomized experiments with proper...
8.4K
Comparing the Survival Analysis of Two or More Groups01:20

Comparing the Survival Analysis of Two or More Groups

279
Survival analysis is a cornerstone of medical research, used to evaluate the time until an event of interest occurs, such as death, disease recurrence, or recovery. Unlike standard statistical methods, survival analysis is particularly adept at handling censored data—instances where the event has not occurred for some participants by the end of the study or remains unobserved. To address these unique challenges, specialized techniques like the Kaplan-Meier estimator, log-rank test, and...
279
Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches01:23

Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches

173
Biopharmaceutical studies constitute a vital field aiming to enhance drug delivery methods and refine therapeutic approaches, drawing upon diverse interdisciplinary knowledge. In research methodologies, the choice between controlled and non-controlled studies significantly influences the study's reliability and accuracy.
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast,...
173
Clinical Trials01:16

Clinical Trials

7.5K
Clinical trials are prospective experimental studies conducted on humans to determine the safety and efficacy of treatments, drugs, diet methods, and medical devices. Using statistics in clinical trials enables researchers to derive reasonable and accurate conclusions from the collected data, allowing them to make wise decisions in uncertain situations. In medical research, statistical methods are crucial for preventing errors and bias.
There are four phases in a clinical trial. A phase one...
7.5K
Gonadal and Placental Hormones01:24

Gonadal and Placental Hormones

1.7K
The gonads, namely the testes in males and the ovaries in females, are pivotal in producing gonadal hormones that orchestrate the intricate processes of sexual development and reproduction.
In males, testosterone is the primary gonadal androgen. It plays a central role in the maturation of male reproductive organs — the penis and testes. Additionally, testosterone is instrumental in the development of secondary sexual characteristics — a deep voice as well as facial and pubic hair...
1.7K

You might also read

Related Articles

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

Sort by
Same author

Correction: Exploring the clinical effects of <i>Andrographis paniculata</i>-derived compounds, its extract, or derivatives for the treatment of COVID-19: a systematic review and meta-analysis.

Frontiers in pharmacology·2026
Same author

A qualitative study to inform the design and implementation of AI-driven diagnosis: Challenges, barriers, and clinical insights of physicians.

PloS one·2026
Same author

Helping teens quit: A systematic review and network meta-analysis of smoking cessation interventions.

Public health in practice (Oxford, England)·2026
Same author

The Effectiveness of Artificial Intelligence in Undergraduate Health Professions Education: Systematic Review and Meta-Analysis of Randomized Controlled Trials.

JMIR medical education·2026
Same author

Return on investment of community health workers in the United States: a systematic review.

Lancet regional health. Americas·2026
Same author

Clinical effects of pharmacological and electronic cigarette interventions for smoking cessation in pregnancy: a systematic review and network meta-analysis.

Addictive behaviors·2026

Related Experiment Video

Updated: Sep 9, 2025

A Novel Method for Involving Women of Color at High Risk for Preterm Birth in Research Priority Setting
14:43

A Novel Method for Involving Women of Color at High Risk for Preterm Birth in Research Priority Setting

Published on: January 12, 2018

12.0K

How Well Do ChatGPT and Claude Perform in Study Selection for Systematic Review in Obstetrics.

Suppachai Insuk1, Kansak Boonpattharatthiti2,3, Chimbun Booncharoen1

  • 1Faculty of Pharmaceutical Sciences, Naresuan University, Phitsanulok, Thailand.

Journal of Medical Systems
|September 4, 2025
PubMed
Summary

Generative AI models like ChatGPT and Claude show promise in systematic review study selection. While human researchers performed slightly better in initial screening, AI demonstrated strong potential, especially in full-text review, nearing human-level performance.

Keywords:
Artificial intelligenceChat-GPTClaudeLarge language modelSystematic review

More Related Videos

Semiconductor Sequencing for Preimplantation Genetic Testing for Aneuploidy
09:03

Semiconductor Sequencing for Preimplantation Genetic Testing for Aneuploidy

Published on: August 25, 2019

9.5K
Model Surgical Training: Skills Acquisition in Fetoscopic Laser Photocoagulation of Monochorionic Diamniotic Twin Placenta Using Realistic Simulators
09:51

Model Surgical Training: Skills Acquisition in Fetoscopic Laser Photocoagulation of Monochorionic Diamniotic Twin Placenta Using Realistic Simulators

Published on: March 21, 2018

19.8K

Related Experiment Videos

Last Updated: Sep 9, 2025

A Novel Method for Involving Women of Color at High Risk for Preterm Birth in Research Priority Setting
14:43

A Novel Method for Involving Women of Color at High Risk for Preterm Birth in Research Priority Setting

Published on: January 12, 2018

12.0K
Semiconductor Sequencing for Preimplantation Genetic Testing for Aneuploidy
09:03

Semiconductor Sequencing for Preimplantation Genetic Testing for Aneuploidy

Published on: August 25, 2019

9.5K
Model Surgical Training: Skills Acquisition in Fetoscopic Laser Photocoagulation of Monochorionic Diamniotic Twin Placenta Using Realistic Simulators
09:51

Model Surgical Training: Skills Acquisition in Fetoscopic Laser Photocoagulation of Monochorionic Diamniotic Twin Placenta Using Realistic Simulators

Published on: March 21, 2018

19.8K

Area of Science:

  • Medical Informatics
  • Artificial Intelligence in Healthcare
  • Evidence-Based Medicine

Background:

  • Generative AI is increasingly explored for systematic review efficiency.
  • Current evidence on AI's screening performance is inconclusive.
  • Limited direct comparisons exist between different AI models.

Purpose of the Study:

  • To evaluate ChatGPT-4o and Claude 3.5 Sonnet in obstetrics systematic review study selection.
  • To compare AI performance against human researchers.

Main Methods:

  • Systematic literature search (PubMed, EMBASE, Cochrane CENTRAL, EBSCO Open Dissertations).
  • Title/abstract screening using prompt-based approach comparing AI and junior researchers against an experienced researcher.
  • Full-text review using short and long prompt strategies for AI.
  • Performance metrics: accuracy, sensitivity, precision, F1-score, negative predictive value (NPV).

Main Results:

  • Title/abstract screening: Human researchers had highest accuracy (0.9593) and F1-score (0.3853), followed by Claude and ChatGPT. All showed high NPV.
  • Full-text screening: ChatGPT with a short prompt achieved the highest accuracy (0.904), F1-score (0.90), and NPV (1.00), outperforming Claude and human researchers.

Conclusions:

  • Generative AI models demonstrate near human-level performance in systematic review study selection.
  • AI shows significant potential, particularly in full-text review stages.
  • Further research is recommended for AI integration in evidence synthesis across various fields.