Automation of doctors prescription's image Computer Vision Project
Updated 2 years ago
816
29
Metrics
Here are a few use cases for this project:
-
Medical Transcription Assistant: This computer vision model can be used in transcription services, helping transcribe handwritten prescriptions into digital text. Doctors, pharmacists, and healthcare professionals can use such transcriptions for digital record-keeping, data analysis, sharing medical information, and patient follow-ups.
-
Medicine Inventory Management: The model can help pharmacies automate their drug inventory management. By identifying medicines names in prescriptions, the software can update inventory data in real time, ensuring that stocks are always updated and adequate.
-
Drug Interaction Analysis: The model can be applied in an application that identifies potential drug interactions for a given patient's multiple prescriptions. By recognizing the names of medicines, it could cross-check them with a database of known drug interactions, alerting the pharmacist or patient about potential risks.
-
Telemedicine Applications: This model can be useful in telemedicine scenarios where patients send images of their prescriptions. It can analyze the prescription, identify the drug names, and forward the information to online pharmacies for home deliveries or to doctors/nurses for tele-consultations.
-
Pharma Market Research: Companies can use this model to analyze prescriptions to understand the most commonly prescribed drugs, aiding in market research and trending analysis in pharmaceutical industries.
Use This Trained Model
Try it in your browser, or deploy via our Hosted Inference API and other deployment methods.
Build Computer Vision Applications Faster with Supervision
Visualize and process your model results with our reusable computer vision tools.
Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
automation-of-doctors-prescription-s-image_dataset,
title = { Automation of doctors prescription's image Dataset },
type = { Open Source Dataset },
author = { Daffodil International University },
howpublished = { \url{ https://universe.roboflow.com/daffodil-international-university-s5vpr/automation-of-doctors-prescription-s-image } },
url = { https://universe.roboflow.com/daffodil-international-university-s5vpr/automation-of-doctors-prescription-s-image },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { may },
note = { visited on 2024-12-21 },
}