Artificial Intelligence in Radiology

The demand for better medical imaging and better visualization is continuously increasing.

Empower Radiology with AI

In today’s era, the radiologist’s opinion plays an increasingly greater role in patient decision making and patient care. An increased incidence of lifestyle diseases requiring frequent imaging has resulted in more complex scans, more slices per scan and much higher resolution acquisition which is complemented by an acute shortage of radiologists, in summary, a perfect recipe for delayed interpretation and longer wait time.

In such scenarios, the major challenge that persists for a radiologist is an increase in effort level to produce more output without compromising on the level of accuracy in their diagnosis.

The question that arises here is how do we maintain the accuracy in spite of large volume and increase in image volumes and complexity?

How can technology assist in ensuring quality?

While on the one hand, it is difficult in the near term to create and train the number of Radiologists required to meet the demand, the adoption of smart solutions and newer technology using Artificial intelligence (AI) can be the key for the next breakthrough in patient care.

AI has erupted across multiple fields in healthcare, and its impact, more specifically in radiology is very visible. AI can help create an inbuilt system that prioritizes cases based on protocol requirement. For example, cases of trauma, stroke, etc. can be prioritized and assigned to the Radiologist’s work lists thereby saving many lives.

When a technology platform is created by a team with deep imaging domain expertise, outstanding service is what you get.

A platform that combines advanced technology with the cumulative experience of a large team of radiologists. Being at the cutting edge and one of the leaders in the industry, Teleradiology Solutions has collaborated as a group with a pioneer of Machine Learning and Artificial Intelligence in Medicine Zebra Medical Imaging.

An integrated cloud-based RIS/PACS platform incorporating AI capabilities that will help Radiologists review the cases automatically and simultaneously (in real time).

This collaboration has resulted in making these tools being available on a teleradiology focused RIS/PACS platform which opens the doors for a wider reach as compared to a closed in-hospital RIS-PACS system.

Revolutionizing Healthcare by Democratizing Radiology Diagnostic Abilities

These deep-learning algorithms when integrated on a world-class platform like RADSpa; backed by a pool of expert Radiologists, will enable AI delivery into real-life scenarios which will benefit over 20 countries and 150 hospitals in India, Asia, and Africa.

Enabling AI for everybody

Remain solvent, independent with more focussed practice rendering quality care without burning hole in the pocket.

The key to success for small practices or standalone centers in a rapidly evolving competitive healthcare market. No onsite deployment, no regular upgrading.

Hassle free workflow

It equips radiologists with the tool which is the need of the hour for an easing the pace of high-pressure radiologic workflow by performing initial screening of cases.

Data mining

The ability to mine an endless amount of imaging data to extract out and prepare appropriate information for the radiologist will save their time and effort. It auto-detects specific pathology in various conditions of liver, lung, bone and cardiovascular disease, etc. This allows radiologists to be more efficient in their reading and reporting workflow.

Quality Assurance & Self Learning

Trial and error is a critical part of learning and but when it comes to detecting patient findings, missing out on minute details can be life-threatening. With the help of AI software, these details are detected, and this database is used as a learning and automated rad-peer review system. It acts as a quality assurance platform ensuring that the radiologist gets adequate training on the missed findings. Such database has immense value in educational term when deployed in radiology education software.

Now transform your patient care with the power of AI

Increase analysis accuracy, volume & consistency
Avoid missed diagnosis
Identify additional patients at risk regardless of the reason for Scan
Affordable care for patients
Population management, treat or enter into preventative care programs

We believe this partnership will stand as the hallmark of an adoption of technology in the healthcare space. It will contribute to more comprehensive, quantitative and consistent reporting, thereby improving the output and overall patient care with quicker diagnosis and effective treatment.