EUEmory University · Biomedical Engineering
Equity Health Innovations Lab
Gari David Clifford · Atlanta, Georgia
Research Focus
Dr. Gari David Clifford's lab focuses on utilizing advanced digital technologies and artificial intelligence to improve healthcare outcomes. They are developing tools to enhance the detection of Alzheimer's disease through eye-tracking to evaluate memory, and creating low-cost ultrasound technology to monitor maternal and fetal health in underserved communities. These innovative approaches aim to make critical health assessments more accessible and equitable across diverse populations.
Alzheimer's diseasedigital biomarkerseye-trackingmaternal healthartificial intelligenceultrasound technologyintrauterine growth restrictionpreeclampsiamachine learninghealth equity
Research Aims
5AIM 01Evaluate the effectiveness of the Visuospatial Memory Eye-Tracking Test in detecting early Alzheimer's disease.
AIM 02Assess the influence of demographic variables on cognitive test performance.
AIM 03Develop and validate low-cost AI algorithms for detecting maternal hypertension and fetal growth restrictions.
AIM 04Implement real-time processing of ultrasound data for maternal and fetal health assessment.
AIM 05Facilitate the deployment of digital health tools in clinical and field settings.
Skills the Lab Values
machine learningeye-tracking methodologyultrasound imagingdata analysisstatistical softwareclinical trial designprogramming (Python, R)real-time algorithm implementationdeep learning techniquesdata collection from diverse populations
Output against the department
Publications617top 10% of dept.62nd of 595
this lab
most publishedleast published
Citations24ktop 13% of dept.79th of 595
this lab
most citedleast cited
Career totals from OpenAlex, compared against labs that share a department. A department spans everything from one paper to tens of thousands, so bar heights are on a log scale — otherwise the largest lab would flatten every other bar to a line.