ABOUT US
We are team of talented Doctors making Health Care Applications.
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//ABOUT COMPANY
We Deal With The Aspects Of Professional AI and Health Services
To be at the forefront of revolutionizing healthcare through the application of AI.
Our aim is to make AI more easily available to the healthcare sector. We plan to achieve this by using AI for practical applications helping medical practitioners in various stages of disease diagnosis and treatment.
Team
Meet Our Dedicated Team
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Dr. Mehrpour
MEDICAL TOXICOLOGISTDr. Mehrpour is a medical toxicologist, clinical data scientist and doctor specializing in medical toxicology research as well as application of artificial intelligence in medicine. He has developed novel treatment protocols for poison research centers by integrating knowledge of machine learning, statistical analysis, and databases including NDPS and ToxIC, leading to a US patent for poisoning diagnosis algorithm. Dr. Mehrpour has authored more than 200 peer-reviewed publications, eight book chapters, one book translation. He is an associate editor in many journals including BMC pharmacology and toxicology, Daru, and Current Clinical Pharmacology Journal. He has a diverse background of academic and professional experience, including teaching, fellowships, and a strong background of medical toxicology and AI research.
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Dr. Samira Alinejad
MDDr. Samira Alinejad MD is a fellow of neonatology. At the same time, she is a medical researcher who has published many articles in the medicine, pediatric and neonatology.
//ABOUT COMPANY
we provide practical methods of applying AI to medical decision-making.
Machine Learning in Health
Applied machine learning in healthcare is and will continue to be an active area of research. The increasingly widespread application of machine learning models requires explanations to hold machine learning models accountable. Interpretable models can be used in critical applications.
Clinical Data Science in Health
Clinical data science includes:
Clinical data classification
Regression or clustering
Prediction model validation
Big data
Skills in personalized medicine
Electronic health records
Telemonitoring programs
Ae AI & Health, we assist clinicians in these aspects of their work.
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Computer Vision and Image Processing in Health
Medical image processing, analysis, and visualization enable clinical and quantitative analysis of medical images. Its benefits include interpreting CT scans, MRIs, and other images in medicine. In addition, artificial intelligence and image processing can help clinicians diagnose these images effortlessly. We, at AI & Health, provide medical image processing to aid researchers and clinicians share research data and analyze it easily.
Deep Learning in Health
Deep learning has key applications in translational bioinformatics, medical imaging, pervasive sensing, medical informatics, and public health.
Happy Clients
Applications
Courses
Webinars
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