Clinical trials

2

Search and review clinical trials. Use filters to narrow results by trial status, phase, treatment, biological sex and sponsor.

Condition / disease
Location
Status: Not yet recruiting

Effectiveness of AI-Assisted Antibiotic Prescribing

This randomized controlled trial aims to evaluate the impact of providing LLM access to physicians on antibiotic prescribing appropriateness, using a composite outcome instrument, the Antibiotic Prescribing Appropriateness Score (APAS), that simultaneously evaluates antibiotic selection, dosing, duration, clinical reasoning, and management planning. Participants will be randomly assigned to one of two groups: the intervention group will have access to an LLM alongside conventional resources, while the control group will use conventional resources only (e.g. UpToDate, PubMed and Google Search with AI features disabled). Both groups will respond to a set of clinical vignettes covering common infectious disease scenarios requiring antibiotic prescribing decisions, with responses evaluated using an expert-validated grading rubric and independently scored by blinded raters.

Participants needed: 50
Trial details
Biological sex: AllType: InterventionalSponsor: Lahore University of Management SciencesUpdated: Sep 22, 2026Locations: 1
Eligibility criteria

Completed Bachelor of Medicine, Bachelor of Surgery (MBBS) or equivalent degree.... [+1]

Any other Registered Medical Practitioner (Full or Provisional) with PMDC not ho...

Status: Recruiting

Improving AI-Assisted Medical Diagnosis and Triage by the General Public

This study is a randomized controlled trial (RCT) investigating whether access to a new LLM interface can improve medical triage and diagnostic accuracy for laypeople compared to access to a standard LLM interface. It addresses previous findings where laypeople using standard LLMs performed worse than those using conventional methods (e.g., web search) due to incomplete symptom sharing and poor interpretation of AI advice. To address this, the research tests a structured LLM system that proactively asks clinical history questions before providing a standardized, easy-to-read diagnostic output.

Participants needed: 220
Trial details
Age: 18+Biological sex: AllType: InterventionalSponsor: Lahore University of Management SciencesUpdated: Sep 17, 2026Locations: 1
Eligibility criteria

Enrolled student or employed administrative staff at LUMS. [+2]

Individuals with any formal education or professional training in medicine, nurs...