Medical Big Data AI Start-up - Technical Projects

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

Portée du projet

Catégories
Sécurité (cybersécurité et sécurité informatique) Technologie de l'information Développement de logiciels Apprentissage automatique Intelligence artificielle
Compétences
protected health information machine learning scalability big data research artificial intelligence
Détails

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
Livrables

Work as part of the team.

Participate in weekly meetings.

Mentorat

CEO with 20 years of experience in AI will be available for:

- Weekly standups

- 1:1 with students 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 ...