| no |
title |
author |
magazine |
year |
volume |
issue |
page(s) |
type |
| 1 |
Correction to Lancet Digit Health 2023; 5: e446–57
|
|
|
|
5 |
9 |
p. e550
|
article
|
| 2 |
Digital health funding for COVID-19 vaccine deployment across four major donor agencies
|
Helldén, Daniel
|
|
|
5 |
9 |
p. e627-e631
|
article
|
| 3 |
Digital solutions for early breast cancer detection
|
The Lancet Digital Health,
|
|
|
5 |
9 |
p. e545
|
article
|
| 4 |
Effect of COVID-19 vaccination and booster on maternal–fetal outcomes: a retrospective cohort study
|
Piekos, Samantha N
|
|
|
5 |
9 |
p. e594-e606
|
article
|
| 5 |
FDA-cleared artificial intelligence and machine learning-based medical devices and their 510(k) predicate networks
|
Muehlematter, Urs J
|
|
|
5 |
9 |
p. e618-e626
|
article
|
| 6 |
Harnessing wearables and mobile phones to improve glycemic outcomes with automated insulin delivery
|
Lewis, Dana M
|
|
|
5 |
9 |
p. e548-e549
|
article
|
| 7 |
Integrating metabolic expenditure information from wearable fitness sensors into an AI-augmented automated insulin delivery system: a randomised clinical trial
|
Jacobs, Peter G
|
|
|
5 |
9 |
p. e607-e617
|
article
|
| 8 |
Pan-mediastinal neoplasm diagnosis via nationwide federated learning: a multicentre cohort study
|
Tang, Ruijie
|
|
|
5 |
9 |
p. e560-e570
|
article
|
| 9 |
Predicting 10-year breast cancer mortality risk in the general female population in England: a model development and validation study
|
Clift, Ash Kieran
|
|
|
5 |
9 |
p. e571-e581
|
article
|
| 10 |
Prediction of metastatic pheochromocytoma and paraganglioma: a machine learning modelling study using data from a cross-sectional cohort
|
Pamporaki, Christina
|
|
|
5 |
9 |
p. e551-e559
|
article
|
| 11 |
Trends in invasive bacterial diseases during the first 2 years of the COVID-19 pandemic: analyses of prospective surveillance data from 30 countries and territories in the IRIS Consortium
|
Shaw, David
|
|
|
5 |
9 |
p. e582-e593
|
article
|
| 12 |
Vaccines for pregnant people: are we missing the forest for the trees?
|
Metz, Torri D
|
|
|
5 |
9 |
p. e546-e547
|
article
|
Journal description