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Radiology database

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Radiology Artificial intelligence AI algorithm training and Radiology database

We believe radiology AI is most happening innovation in field of healthcare and medical diagnosis. Machine and deep learning in Radiology is one of the lead innovation in the field of healthcare at present. Lots of developments happening each day are taking us closer to a perfected radiology image reading software. We may reach there sooner than thought and radiologist will have effective tool in hand to make diagnosis with much easy and diagnostic accuracy.

Worldwide Radiology AI firms are making impact in this field already and few are just warming up recently, even in developing countries. Radiology AI start-ups are focusing on niche projects to solve unique diagnostic problems. Young entrepreneurs and engineers are heading most such undertakings.

Radiology database is core necessity in developing and training the radiology AI algorithms. Larger and varied is the database, better is the algorithm evolution. Significant resources have been allotted to create database banks for current and future needs by most AI units.

Initially most firms AI firms were focused on getting data specific to their project , but since the horizon of projects are growing most firms are opting for bulk database for current or future projects.

Future Teleradiology has partnered with multiple radiology AI firms as data partner. We have meticulously built our radiology data base to help start-ups as well as developed firms to undertake wide variety of projects.

Our team also helps training of algorithms, as part of our services. Most AI firms come up with customized requirement in their project where involvement of radiologist is desired.

We also take up opportunities if firms need human reporting for their data base. Few firms need radiologist to confirm results of their algorithm, Future teleradiology can help in that as well with team of about 250 radiologists On mutual agreement we provide customised services.

We welcome associations to contribute in your innovative projects with database and radiological expertise to train your algorithm.

Our database is broadly sorted in chest x-ray, non-chest x-ray , CT head , CT other parts and MRI all parts from machines of various make. All scans are accompanied with radiologist report and images are in Dicom format. Sample data can help to get insight.

Get in touch with our team to know about our services.Our expert team will be glad to assist you.

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Frequently Asked Question

Ans: A Radiology Database is a structured collection of medical images and associated patient data used for research, training AI algorithms, and clinical studies.

Ans: Yes, contributions from various healthcare institutions can enhance the diversity and size of the database, improving the robustness of AI algorithms.

Ans: Access to the database may be granted for research purposes after appropriate approvals and adherence to ethical guidelines.

Ans: Depending on the terms of use, researchers may be able to request specific subsets of data for their studies.

Ans: Yes, the database follows strict compliance with data protection regulations to safeguard patient privacy and confidentiality.

Ans: Patient data is anonymized, and the database complies with privacy regulations such as HIPAA. Access controls and encryption are implemented.

Ans: The database includes a variety of radiological images such as X-rays, CT scans, MRIs, and others, covering different medical conditions.

Ans: Quality control measures, including image standardization and verification, are implemented to ensure the accuracy and reliability of the data.

Ans: A Radiology Database serves as the training ground for AI algorithms, providing diverse and comprehensive datasets for learning patterns and features.

Ans: Healthcare professionals can inquire about contributing to or accessing the database through the designated channels, which may involve collaboration agreements and approvals.

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