Medical Big Data AI Start-up - Technical Projects

Positions available: 3 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 in Medical Images. More details will be provided during the initial interview. Examples of projects the students could be responsible for: Evaluation of third party NLP Processing solutions Evaluation of third party Image Processing solutions Custom user interfaces Other projects

Medical Big Data AI Start-up - Market Research and Analysis Project

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

Medical Big Data AI Start-up - Marketing Project

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 in Medical Images. More details will be provided during the initial interview. Students projects include: Developing Sales Presentations Developing Social Media Strategy Writing blog articles, email newsletters/sequences and other content pieces on assigned topics Defining and creating videos to promote our organization and demonstrate our capabilities Evaluating recent successful campaigns in our sector Identifying media outlets that are most beneficial to share our story Creating one-pagers targeted towards different customer segments Expanding/enhancing company website More details will be provided during the initial interview. #AI, #Medicine,#PatientsPrivacy, #AIinMedicine, #BigData

Medical Big Data AI Start-up - Technical Projects

Positions available: 3 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 in Medical Images. More details will be provided during the initial interview. Examples of projects the students could be responsible for: Evaluation of third party NLP Processing solutions Evaluation of third party Image Processing solutions Custom user interfaces Other projects