International Journal on Science and Technology
E-ISSN: 2229-7677
•
Impact Factor: 9.88
A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal
Home
Research Paper
Submit Research Paper
Publication Guidelines
Publication Charges
Upload Documents
Track Status / Pay Fees / Download Publication Certi.
Editors & Reviewers
View All
Join as a Reviewer
Get Membership Certificate
Current Issue
Publication Archive
Conference
Publishing Conf. with IJSAT
Upcoming Conference(s) ↓
Conferences Published ↓
ALSDAHW-2025
Contact Us
Plagiarism is checked by the leading plagiarism checker
Call for Paper
Volume 17 Issue 2
April-June 2026
Indexing Partners
Meedseek - AI-Powered Health Tech Platform
| Author(s) | Mr. Arun Patidar, Mr. Hitesh Mourya, Ms. Kishori Garg, Prof. Dr. Vandana Kate, Prof. Chanchal Bansal |
|---|---|
| Country | India |
| Abstract | With the rapid growth of digital healthcare services, there is a strong need for smarter platforms that do more than just booking appointments or conducting video consultations. Most existing telemedicine systems focus only on connecting patients and doctors, but they do not help in understanding or organizing medical reports automatically. As a result, doctors often spend extra time manually reading long reports and reviewing patient history before making decisions. MedSeek is proposed as a full-stack AI-powered healthcare platform designed to simplify this process. The system allows patients to book appointments, upload medical reports, and record voice notes describing their symptoms. The platform automatically reads uploaded reports and generates short, clear summaries that highlight important medical details. Doctors can access complete patient information, summarized insights, and visual health data through an interactive dashboard. By combining artificial intelligence with secure cloud storage and an easy-to-use interface, MedSeek aims to improve efficiency, reduce manual workload, and enhance communication between patients and healthcare professionals. |
| Keywords | Digital Healthcare, Medical Report Analysis, AI in Healthcare, Cloud-Based Health Platform, Healthcare Automation, Full-Stack Development. |
| Field | Computer Applications |
| Published In | Volume 17, Issue 2, April-June 2026 |
| Published On | 2026-05-26 |
Share this

CrossRef DOI is assigned to each research paper published in our journal.
IJSAT DOI prefix is
10.71097/IJSAT
Downloads
All research papers published on this website are licensed under Creative Commons Attribution-ShareAlike 4.0 International License, and all rights belong to their respective authors/researchers.