Histological aging signatures for monitoring tissue-specific aging and disease
Data reporting No statistical methods were used to predetermine sample size due to the predetermined sample availability of…
Reassurance through normalization inadvertently suppresses treatment
Kessel, N. Reassurance. Lancet 313, 1128–1133 (1979). Article Google Scholar Giroldi, E. et al. ‘No need to worry’:…
Psilocybin-assisted therapy for treatment-resistant major depressive disorder in a public healthcare setting: a randomized controlled trial
This study of psilocybin assisted-therapy for TRD—to our knowledge, the first RCT in this population to assess feasibility…
Divergent impacts of explainable AI for dermatological diagnosis on clinicians versus lay people
Study design We designed two complementary large-scale experiments to evaluate human−AI collaborative diagnostic performance across expertise levels (Fig.…
Representations of the intrinsic value of information in mouse orbitofrontal cortex
Subjects All experimental and surgical protocols were performed in accordance with the guide of Care and Use of…
Integrated care pathway in individuals with Long COVID: STIMULATE-ICP, a cluster-randomized, phase 3 trial
Trial design and oversight The STIMULATE-ICP trial aimed to investigate the efficacy of an enhanced ICP for LC,…
Common and rare genetic variant associations with cognitive performance across development in British birth cohorts
This work complies with all relevant ethics regulations. The Cambridge South Research Ethics Committee (10/H0305/83), The Republic of…
Health system learning enables generalist neuroimaging models
Health system learning We define ‘health system learning’ as learning directly from uncurated data generated during routine clinical…
Genome-wide association studies of infant and toddler temperament in European and multi-ancestry populations
This study was preregistered on the Open Science Framework (https://osf.io/2yznd) on 18 January 2024. Deviations from the preregistration…
Generative AI-enabled clinical decision support system in primary care: a pragmatic, cluster-randomized trial
Design We conducted a pragmatic, multicenter, parallel-group cluster-randomized controlled trial across a network of 16 primary care facilities…
Evaluating the robustness and readiness of large frontier models in health AI applications
Singhal, K. et al. Large language models encode clinical knowledge. Nature 620, 172–180 (2023). Article CAS PubMed PubMed…
A reporting checklist for large language models in behavioural science
LMU Munich, Munich, Germany Stefan Feuerriegel, Kerstin Forster, Dominique Geissler, Abdurahman Maarouf, Sebastian Maier & Barbara Plank Munich Center for Machine Learning, Munich, Germany…