AI radiological imaging database

• Research type

  Research Database

• IRAS ID

  301362

• Contact name

  Laurence Lovat

• Contact email

  l.lovat@ucl.ac.uk

• Research summary

  A radiological imaging research database to support artificial intelligence studies

• REC name

  Yorkshire & The Humber - Leeds East Research Ethics Committee

• REC reference

  21/YH/0157

• Date of REC Opinion

  1 Sep 2021

• REC opinion

  Further Information Favourable Opinion

• Data collection arrangements

  We will collect and anonymise radiological images from individual NHS trusts and store them on an encrypted hard-drive (AES 256). We will than transfer the images to the UCL computer science network, where the anonymised images will be protected by the same firewall that protects the department.

• Research programme

  The research programme will be run by University College London. Although there will be no specific funding, it will be supported by resources from within the Wellcome/EPSRC Centre for Interventional and Surgical sciences. The aim of the database is to train artificial intelligence algorithms to assist clinicians and radiologists to interpret radiological images. We hope this will improve efficiency and safety within the NHS.

• Research database title

  A radiological imaging research database to support artificial intelligence studies

• Establishment organisation

  University College London

• Establishment organisation address

  Gower St, London

  WC1E 6BT