Medical Big Data AI Start-up - Digital Content Project

Fermé
Glendor, Inc
Draper, Utah, United States
CEO
(4)
3
Projet
Parcours académique
60 heures de travail au total
Apprenant.e
N'importe où
Niveau Intermédiaire

Portée du projet

Catégories
Lancement d'un produit ou d'un service Média
Compétences
protected health information digital content machine learning scalability big data research
Détails

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.

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

Livrables

Students projects could include:

  • Creating white board videos
  • Creating visual aids to explain main concepts
  • Creating graphics and design for demos
  • Developing content plan
Mentorat

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

À propos de l'entreprise

Entreprise
Draper, Utah, United States
2 - 10 employé.es
Technology, Hospital, health, wellness & medical, Science

Our company is developing technology for identification and redaction of sensitive information in different media: texts, images, voice recordings, videos ...