Positions available: 5 teams of 3-4 students.

Medical research relies heavily on Big Data - large volume of training and testing data is required to build an automatic medical diagnostic tool using advanced Machine Learning techniques. However, presence of Protected Health Information (PHI) in medical images constitutes a significant hurdle to sharing and aggregating data. Due to sheer volume of the datasets, manual removal of PHI is not scalable and building a tool for automatic PHI detection, deletion and masking is crucial. Our company has developed fully automatic system for PHI Deidentification.

#AI, #Medicine,#PatientsPrivacy, #AIinMedicine, #BigData

Students projects could include:

• Validating market demand and size
• Evaluating recent successful campaigns in our sector
• Identifying media outlets that are most beneficial to share our story
• Designing a campaign

The final scope of the project depends on the school focus and students' interests.

The internship includes

- weekly team meetings to discuss what has been done, what needs to be done, any outstanding questions or issues.

- 1 on 1 meetings as needed