Diagnostic system from medical imaging
To meet the growing demand for care, medical technology leaders are turning to AI tools that can help radiation oncologists provide high-quality, individualized treatment faster.
- Augmenting Radiation Therapy Workflows
- Tapping into Software to Write Software
- Simple and Scalable Infrastructure
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What AI can do with unstructured data in healthcare
Improve data protection and minimize paperwork
Most security disasters in the healthcare industry are caused first by human error and misuse and physical theft and hacking second. Electronic Health Records or EHRs not only structure patient information but also allow for safe access and more personalized care.
Increase diagnostics accuracy
In the US alone, over 12 million patients are misdiagnosed annually. Deep learning applied to healthcare can radically improve that statistic: Instead of following a routine checklist, healthcare professionals can benefit from the informative by-product of algorithms that can read data using computer vision,
Boost clinical performance
Running any medical facility is a complex, multi-faceted undertaking rife with the possibility of making unfortunate decisions. The obvious, well-documented risk level is high. Data-driven software provides clinicians with the opportunity to make better sense of their data – schedule more efficiently, create
Forecasting system on pharmacological reactions
Adverse drug reactions (ADRs) are an important concern in the medication process and can pose a substantial economic burden for patients and hospitals. Because of the limitations of clinical trials, it is difficult to identify all possible ADRs of a drug before it is marketed. We developed a new model based on data mining technology to predict potential ADRs based on available drug data.
- Databases and KG construction
- Prediction model
- KG embedding
- Model evaluation
“I knew that if I failed I wouldn’t regret that, but I knew the one thing I might regret is not trying.”
Story from our clients
Showcase of awesome works we have done for our clients
Why Aieeb?
Optimization for Healthcare Insurance companies
Insurers are using artificial intelligence and machine learning to review medical records, optimize care for chronic conditions, identify risk.
Payers manage risk
Insurers are using artificial intelligence and machine learning to review medical records, optimize care for chronic conditions, identify risk.
AI to optimize health
AI and machine learning move from a custom and reactive approach to more standardized and proactive management of patient care.
Are you ready for medical diagnosis using artificial intelligence?
Discover the accuracy of the future with AI-powered instant medical diagnosis that automatically analyses your symptoms with the highest level of reliability.
Frequently Asked Questions (FAQ) about Artificial Intelligence in Healthcare Services
We explain in this section how our technologies contribute to supporting medical staff in providing more accurate diagnoses and advanced preventive patient care. Learn about our strict standards for protecting medical data and how artificial intelligence is integrated into surgical procedures and hospital management.
It helps analyze medical imaging (X-Ray, MRI) with high precision to detect disease patterns that may be difficult for the human eye to identify at an early stage.
Yes, we comply with the highest global and local privacy and confidentiality standards, with full encryption of medical data to ensure patient protection.
By predicting expected patient volumes, managing surgical schedules, and automating medical records to reduce administrative workload for doctors.
Yes, through connecting wearable devices to an intelligent analytics system that immediately alerts doctors in case of any concerning changes in vital signs.
Yes, our models help simulate chemical interactions and analyze research data to accelerate the process of discovering and developing new drugs.
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