Artificial Intelligence (AI)AINCT07340905
AI Ethical Assessment in Scientific Resreach
An observational study of Artificial Intelligence (AI), run by Assiut University.
Trial 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. Read more about this study
- Who is it for?
- Ages 18 years and older
- Conditions the study is for
- Artificial Intelligence (AI)
- How many people
- 200 participants
- Where
- No sites listed yet
- Study dates
- Jan 2026to Jan 2027
- Phase
- Observational
- Are there results?
- Not yet: the study is under way
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 18 years and older
- All sexes
- No healthy volunteers
- Adult, Older adult
Study population: Principal investigators / co-investigators Research assistants / lab members Data scientists / statisticians Students (Masters/PhD) working on AI-supported research
Who may be able to join
- 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)
Who cannot join
- 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.
About this study
Official title: Ethical Assessment Tool of Artificial Intelligence Impementation in Scientific Research
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.
Read the detailed description
The benefits of AI include speed, accuracy, efficiency, and innovation, allowing scientists to process information and generate hypotheses faster than ever. However, ethical challenges such as data bias, lack of transparency, accountability, plagiarism risks, and privacy concerns must be addressed through responsible AI governance.
- Conditions
- Artificial Intelligence (AI)
- Keywords
- Artificial Intelligence
What is being measured
The primary outcome is the main question the study is designed to answer.
Ethical Assessment Tool of Artificial Intelligence Impementation in Scientific Research
Ethical Assessment Tool of Artificial Intelligence Impementation in Scientific Research
Measured: 6 months
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted14 Jan 2026
- Study startJan 2026 (estimated)
- Primary completionSep 2026 (estimated)
- Study completionJan 2027 (estimated)
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Other trials for Artificial Intelligence (AI)Studies of the same condition, open and under way.
- More trials run by Assiut UniversityThe sponsor's other registered studies.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Observational
- Observational model
- Other
- Time perspective
- Cross-sectional
- Enrolment
- 200 participants (estimated)
Sponsor and investigators
- Lead sponsor
- Assiut University
- Sponsor type
- University, hospital or other
- Responsible party
- Principal investigator, Tasneem ahmed, Assiut University
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT07340905
- Sponsor's protocol ID
- AI
- Acronym
- AI
- Status last verified
- Jan 2026
- First submitted
- 6 Jan 2026
- Last updated
- 14 Jan 2026
- Results posted
- No
- Data monitoring committee
- Yes
- FDA-regulated drug
- No
- FDA-regulated device
- No
Study at a glance
From the registry record, last updated by the sponsor on 14 Jan 2026. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Ethical Assessment Tool of Artificial Intelligence Impementation in Scientific Research
- ClinicalTrials.gov ID
- NCT07340905
- Acronym / sponsor ID
- AI / AI
- Conditions
- Artificial Intelligence (AI)
- Keywords
- Artificial Intelligence
- Study type
- Observational
- Recruitment status
- Not yet recruiting
- Enrolment
- 200 participants (estimated)
- Lead sponsor
- Assiut UniversityUniversity, hospital or other
- Study start
- Jan 2026 (estimated)
- Primary completion
- Sep 2026 (estimated)
- Study completion
- Jan 2027 (estimated)
- First posted
- 14 Jan 2026 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
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.
Detailed description
The benefits of AI include speed, accuracy, efficiency, and innovation, allowing scientists to process information and generate hypotheses faster than ever. However, ethical challenges such as data bias, lack of transparency, accountability, plagiarism risks, and privacy concerns must be addressed through responsible AI governance.
Study design
- Observational model
- Other
- Time perspective
- Cross-sectional
Who may qualify
- Ages
- 18 years and older
- Sex
- All
- Healthy volunteers
- Not accepted
- Age groups
- Adult, Older adult
- Study population
- Principal investigators / co-investigators Research assistants / lab members Data scientists / statisticians Students (Masters/PhD) working on AI-supported research
Key inclusion criteria (5 listed)
- 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)
Key exclusion criteria (5 listed)
- 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.
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Primary outcome
Ethical Assessment Tool of Artificial Intelligence Impementation in Scientific Research
Time frame: 6 months
Ethical Assessment Tool of Artificial Intelligence Impementation in Scientific Research
Results and safety
This study is still under way. Results are not available in the source record yet.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 14 Jan 2026.
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Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part.
The record lists no contact. Use the official record to reach the sponsor.
Questions about this trial
What is this clinical trial studying?
An observational study of Artificial Intelligence (AI), run by Assiut University.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 5 inclusion and 5 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: opening soon, as of the sponsor's last update on 14 Jan 2026. Status can change between updates, so confirm with the study contact before making plans.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
This study is still under way. Results are not available in the source record yet.
How can a doctor refer a patient or contact the research team?
The record lists no contact. The official record names the sponsor, who can be asked directly. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Ethical Assessment Tool of Artificial Intelligence Impementation in Scientific Research (time frame: 6 months). It is what the study was designed to measure, not a finding.
Where can I read the original study information?
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 14 Jan 2026.