NCT07340905

Brief Summary

Artificial Intelligence (AI) is transforming scientific research by enabling computers to perform tasks that require human intelligence - such as data analysis, pattern recognition, prediction, and language processing. AI is now integrated into every stage of the research process: from idea generation and literature review to data collection, analysis, and publication. Using tools like machine learning, deep learning, and natural language processing (NLP), researchers can analyze massive datasets, detect hidden trends, and accelerate discoveries across fields like medicine, biology, chemistry, and social sciences.

Trial Health

65
Monitor

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
200

participants targeted

Target at P75+ for all trials

Timeline
8mo left

Started Jan 2026

Shorter than P25 for all trials

Status
not yet recruiting

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

Study Progress35%
Jan 2026Jan 2027

Study Start

First participant enrolled

January 1, 2026

Completed
5 days until next milestone

First Submitted

Initial submission to the registry

January 6, 2026

Completed
8 days until next milestone

First Posted

Study publicly available on registry

January 14, 2026

Completed
8 months until next milestone

Primary Completion

Last participant's last visit for primary outcome

September 1, 2026

Expected
4 months until next milestone

Study Completion

Last participant's last visit for all outcomes

January 1, 2027

Last Updated

January 14, 2026

Status Verified

January 1, 2026

Enrollment Period

8 months

First QC Date

January 6, 2026

Last Update Submit

January 6, 2026

Conditions

Artificial Intelligence (AI)

Keywords

Artificial Intelligence

Outcome Measures

Primary Outcomes (1)

  • Ethical Assessment Tool of Artificial Intelligence Impementation in Scientific Research

    Ethical Assessment Tool of Artificial Intelligence Impementation in Scientific Research

    6 months

Eligibility Criteria

Age18 Years+
Sexall
Healthy VolunteersNo
Age GroupsAdult (18-64), Older Adult (65+)
Sampling MethodNon-Probability Sample
Study Population

Principal investigators / co-investigators Research assistants / lab members Data scientists / statisticians Students (Masters/PhD) working on AI-supported research

You may qualify if:

  • Age ≥ 18
  • Able to provide informed consent
  • Has direct experience with research and/or AI tools used in research (often within the last 1-3 years)
  • Speaks/reads the study language (e.g., English/Arabic)
  • Available to complete the study activity (survey)

You may not qualify if:

  • No AI is involved.
  • It's only theory/principles with no checklist or questions.
  • It covers only one issue (privacy-only, bias-only) when you need full ethics.
  • Not enough info to assess (no data source, no model description, no intended use).
  • It's a small classroom/toy example with no real impact.

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Design

Study Type
observational
Observational Model
OTHER
Time Perspective
CROSS SECTIONAL
Sponsor Type
OTHER
Responsible Party
PRINCIPAL INVESTIGATOR
PI Title
DR

Study Record Dates

First Submitted

January 6, 2026

First Posted

January 14, 2026

Study Start

January 1, 2026

Primary Completion (Estimated)

September 1, 2026

Study Completion (Estimated)

January 1, 2027

Last Updated

January 14, 2026

Record last verified: 2026-01