In the past, different types of medical data were kept separate—like imaging, patient records, lab results, and notes.
Azure AI helps connect these different data types using smart models that can understand and link them at the same time.
Imagine AI systems that can:
Look at X-rays, CT scans, or MRIs quickly to find issues.
Use imaging data with a patient’s history to help doctors make faster and more accurate diagnoses.
Help doctors and radiologists by offering AI-driven suggestions for interpreting images.
Using Azure AI Vision and Azure Machine Learning, Dotsquares helps healthcare providers create smart tools that reduce mistakes and help doctors decide on treatment faster.
Creating medical records is important, but it can also take up a lot of time.
Azure’s tools that convert speech to text and understand language make it easier for healthcare workers to write down and process patient interactions as they happen.
Through Azure OpenAI and Azure Cognitive Services, Dotsquares helps healthcare organisations build systems that can:
Turn conversations between doctors and patients into detailed notes with high accuracy.
Automatically create summaries of clinical notes to save time.
Generate follow-up reports or prescriptions using secure AI tools.
This makes the work of healthcare professionals more efficient and allows them to spend more time caring for patients.
In healthcare, data is very important—but only if it’s safe, organised, and easy to use.Using Azure’s tools for managing and analysing data, Dotsquares helps hospitals and healthcare organisations handle large amounts of data confidently.
Our Azure experts make sure:-
All data is protected with top-level encryption and access controls to follow HIPAA rules.
Real-time dashboards and tools that predict health outcomes are used.
AI insights help with diagnosis, treatment, and planning how to use resources.
By connecting different types of medical data, we help healthcare organisations use that information to make smart, timely decisions in a secure way.