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Artificial intelligence using deep learning to predict the anatomical outcome of rhegmatogenous retinal detachment surgery: a pilot study.
Fung THM, John NCRA, Guillemaut JY, Yorston D, Frohlich D, Steel DHW, Williamson TH; BEAVRS Retinal Detachment Outcomes Group. Fung THM, et al. Among authors: frohlich d. Graefes Arch Clin Exp Ophthalmol. 2023 Mar;261(3):715-721. doi: 10.1007/s00417-022-05884-3. Epub 2022 Oct 28. Graefes Arch Clin Exp Ophthalmol. 2023. PMID: 36303063
Patient-related characteristics or local tradition: what predicts the admission to a locked ward or the use of coercive measures in psychiatric inpatient treatment?
Hochstrasser L, Fröhlich D, Moeller J, Schneeberger AR, Borgwardt S, Lang UE, Huber CG. Hochstrasser L, et al. Among authors: frohlich d. Eur Arch Psychiatry Clin Neurosci. 2024 Nov 12. doi: 10.1007/s00406-024-01936-3. Online ahead of print. Eur Arch Psychiatry Clin Neurosci. 2024. PMID: 39531131
'It's not everybody's snapshot. It's just an insight into that world': A qualitative study of multiple perspectives towards understanding the mental health experience and addressing stigma in healthcare students through virtual reality.
Szekely R, Mason O, Frohlich D, Barley E. Szekely R, et al. Among authors: frohlich d. Digit Health. 2024 Jan 4;10:20552076231223801. doi: 10.1177/20552076231223801. eCollection 2024 Jan-Dec. Digit Health. 2024. PMID: 38188857 Free PMC article.
230 results