Re-engaging society: on the Darzi report and mental health in England.

Autor: Pickersgill M; Centre for Biomedicine, Self and Society, Usher Institute, The University of Edinburgh, EH16 4UX. Electronic address: martyn.pickersgill@ed.ac.uk.

Publikováno v: The lancet. Psychiatry [Lancet Psychiatry] 2024 Dec; Vol. 11 (12), pp. 961-962.

Return of Darzi-missed opportunity for social care and public health.

Autor: Jeyakumar P; Directorate of Public Health, Stoke-on-Trent City Council, Stoke-on-Trent ST4 1HH, UK., Gunther S; Directorate of Public Health, Stoke-on-Trent City Council, Stoke-on-Trent ST4 1HH, UK., Badrinath P; Directorate of Public Health, Stoke-on-Trent City Council, Stoke-on-Trent ST4 1HH, UK.

Publikováno v: BMJ (Clinical research ed.) [BMJ] 2024 Oct 21; Vol. 387, pp. q2271. Date of Electronic Publication: 2024 Oct 21.

The current state of patient safety in the NHS: the Darzi Report.

Autor: Tingle J; Associate Professor, Birmingham Law School, University of Birmingham.

Publikováno v: British journal of nursing (Mark Allen Publishing) [Br J Nurs] 2024 Oct 10; Vol. 33 (18), pp. 900-901.

Darzi 2.0: A full diagnostic assessment of the NHS may require uncomfortable investigations.

Autor: Fisher B; Nuffield Trust.

Publikováno v: BMJ (Clinical research ed.) [BMJ] 2024 Jul 24; Vol. 386, pp. q1642. Date of Electronic Publication: 2024 Jul 24.

Foundation AI Model for Medical Image Segmentation

Autor: Bao, Rina, Darzi, Erfan, He, Sheng, Hsiao, Chuan-Heng, Hussain, Mohammad Arafat, Li, Jingpeng, Bjornerud, Atle, Grant, Ellen, Ou, Yangming

Foundation models refer to artificial intelligence (AI) models that are trained on massive amounts of data and demonstrate broad generalizability across various tasks with high accuracy. These models offer versatile, one-for-many or one-for-all solut

Externí odkaz: http://arxiv.org/abs/2411.02745