AI in Healthcare

by Merantix Labs
AI in Healthcare

Streamlining processes to provide better healthcare

Artificial Intelligence in the healthcare and pharmaceutical industry presents immense opportunities for doctors, patients, as well as researchers and companies. Understanding the relations between prevention, treatment, and patient outcomes can truly revolutionise how we think about health. Additionally, predictive analytics solutions can help with epidemic preparedness, as well as with hospital operations.

Some use cases include:
  • Early detection
  • Treatment
  • Research
  • Diagnosis
  • Long-term care

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Our Use Case

AI-based Decision Support in Hematology

Context

Researchers and Physicians are continually investigating new treatment options for patients with myelodysplastic syndromes (MDS), acute myeloid leukemia (AML) or multiple myeloma, which are types of rare blood cancer. The amount of research publications and the frequency at which they are produced are challenging aspects for practicing hematologists. They face the task of finding the right publications for their patients in the vast amount of data, in order to make individual therapy decisions for them depending on the available study results.

Challenge

The main challenge we are facing is matching the individual patient data, such as demographics as well as past therapies and health conditions, against natural language descriptions of clinical studies and research papers.

Solution

We are currently developing an NLP solution in which clinical publications are selected and ranked regarding their evidence-based value for a specific medical case. Combining the hematologists’ human intelligence with artificial intelligence (AI) will guide the diagnostic process and development of personalized treatment decisions, making cancer treatment more patient-specific, targeted and effective. The NLP component was developed in close collaboration with the Department of Hematology, Cellular Therapy and Hemostaseology at University Hospital Leipzig and the Innovation Center Computer Assisted Surgery ICCAS and will be integrated into the KAIT platform.

Find out more about ICCASFind out more about the KAIT platform