LAB LOGA page on LabLog, a review site (not the lab's official page)
Ashir Lab
Machine-translated · View original
A digital health lab for regions with limited access to medical care.
AboutAbout the lab
Building portable clinics with digital technology
The Ashir Lab (SocialTech Lab) researches digital health technologies for regions with limited access to medical care.
The lab develops the core technology of the Portable Health Clinic, a clinic system that can be carried and set up on site, and is running pilot operations in countries in Asia and Africa.
Its work includes digitizing paper-based and handwritten medical records, visualizing medical data, and making individualized triage decisions using explainable AI.
The lab also researches extracting medical information from audio recordings of conversations between doctors and patients.
Key terms
- Portable Health Clinic
- A mobile clinic facility that can be carried and set up in various locations
- Triage
- Deciding the priority and method of care according to a patient's condition
- Explainable AI
- An approach that interprets AI models and reveals the factors that influenced their decisions
ResearchResearch themes
The SocialTech Lab conducts research and development in digital health, aiming to improve access to medical care in underserved regions. Centered on the technology for portable clinic systems, it studies the conversion and visualization of medical data and AI-based decision support.
*Illustrative imageDeveloping the Portable Health Clinic
The lab develops the core technology of the Portable Health Clinic, which can be carried and set up anywhere. Pilot operations are under way in countries in Asia and Africa, such as Bangladesh and India.
*Illustrative imageConverting Medical Data Formats
This research converts paper-based and handwritten health records into standard digital formats to create unified electronic health records (EHRs). It aims to make patient information easier to store, search, and analyze.
*Illustrative imageVisualizing Medical Data
The lab investigates ways of presenting medical data clearly so that health workers and policymakers can quickly read complex health trends. The aim is to support early response and decision-making.
*Illustrative imagePersonalized Triage
The lab analyzes health checkup data from the Portable Health Clinic with explainable AI to identify individual risk factors. It aims to support triage decisions suited to each person's situation and to make AI decisions transparent and trustworthy.
MembersFaculty
The members of the Ashir Lab consist of faculty, PhD students, and research students.
- Associate ProfessorAshir Ahmed
VoicesStudent voices
Ratings and reviews reflect the experiences of individual current or former students, not the lab's official views. Whether a lab has reviews, or how many, says nothing about the lab itself.
Students who take part in an interview may receive a thank-you gift worth ¥1,000, regardless of what they say.
Student ratings (0 students)
--
--
--
--
--
--
Student voices answer questions like these
- What's great about this lab?
- What did you learn after joining?
- What's the vibe, and what is the professor like?
- Who is this lab for?
- Where do graduates go?
Your experience can help younger students choose their lab. Your name won't be shown.
Write a lab reviewAnonymous · Your draft is saved if you stopRelatedLabs similar to Ashir Lab
Computer Vision, Graphics, and VR LabFaculty of Engineering, Department of Electrical Engineering and Computer ScienceComputer vision and computer graphics for AR/MR and novel se…
Human Data Interaction LabFaculty of Engineering, Department of Electrical Engineering and Computer ScienceHuman–data interaction: design, methods, and technologies fo…
Plasma Engineering LabFaculty of Engineering, Department of Electrical Engineering and Computer SciencePlasma engineering and plasma–material interactions; semicon…
Machine Learning, Data Mining, and AI LabFaculty of Engineering, Department of Electrical Engineering and Computer ScienceSince its establishment in 1996, the Suzuki Laboratory has w…The information on this page is compiled by the LabLog team from the lab's public information and interviews. For corrections or removal requests, please contact LabLog, not the lab.
Report an errorAbout the images
The top and research theme images are illustrative and were not taken at the lab. They are cropped from Wikimedia Commons images. Cropped CC BY-SA images are provided under the same CC BY-SA license as the original (version shown on each line).
- Top image: “Telemedicine Consult” Intel Free Press / CC BY-SA 2.0 (cropped)
- Developing the Portable Health Clinic: “SINA Clinic at Dawood Chali” Captain McNugget / CC BY-SA 4.0 (cropped)
- Converting Medical Data Formats: “Sources of healthdatav Created by GoInvo (4x3)” Brysonwong01 / CC BY-SA 4.0 (cropped)
- Visualizing Medical Data: “Linkedin maps data visualization” Luc Legay / CC BY-SA 4.0 (cropped)
- Personalized Triage: “EasCare Tufts Children's Ambulance” Mangocove / CC BY-SA 4.0 (cropped)
- Related lab (Computer Vision, Graphics, and VR Lab): “3D Scanning Team” IT Photography / CC BY-SA 4.0 (cropped)
- Related lab (Human Data Interaction Lab): “APRENDIZAJE SIGNIFICATIVO” SAMMYTQM / CC BY-SA 4.0 (cropped)
- Related lab (Plasma Engineering Lab): “Plasma globe 60th” Colin / CC BY-SA 3.0 (cropped)
- Related lab (Machine Learning, Data Mining, and AI Lab): “Korean Robot” ApexInfinity Games / CC0 (cropped)
About LabLog
LabLog is a lab review app for students only. Student members at each university interview students in labs and publish what they say. Student voices can only be read by students who sign up with a university email address. Operated by bestiee Inc.
Learn more about LabLog ↗Search engines and AI may reference the basic lab info and rating summaries on this page and the description of LabLog. Student voices are for student members only. Automated collection by programs (scraping, or input to or training of AI) is prohibited under Article 8 of the Terms of Service. If you need data for research or analysis, please contact us.