nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
1 |
A deep learning model for detection of Alzheimer's disease based on retinal photographs: a retrospective, multicentre case-control study
|
Cheung, Carol Y |
|
|
|
11 |
p. e806-e815 |
artikel |
2 |
Africa turns to telemedicine to close mental health gap
|
Adepoju, Paul |
|
|
|
11 |
p. e571-e572 |
artikel |
3 |
A fully artificial pancreas versus a hybrid artificial pancreas for type 1 diabetes: a single-centre, open-label, randomised controlled, crossover, non-inferiority trial
|
Tsoukas, Michael A |
|
|
|
11 |
p. e723-e732 |
artikel |
4 |
A multi-platform approach to identify a blood-based host protein signature for distinguishing between bacterial and viral infections in febrile children (PERFORM): a multi-cohort machine learning study
|
Jackson, Heather R |
|
|
|
11 |
p. e774-e785 |
artikel |
5 |
Another step (count) towards leveraging mobile health data for clinical prediction
|
Murphy, Andrew R |
|
|
|
11 |
p. e687-e688 |
artikel |
6 |
A prognostic model for overall survival of patients with early-stage non-small cell lung cancer: a multicentre, retrospective study
|
Lu, Cheng |
|
|
|
11 |
p. e594-e606 |
artikel |
7 |
Artificial intelligence for detection of Alzheimer's disease: demonstration of real-world value is required to bridge the translational gap
|
Marshall, Charles R |
|
|
|
11 |
p. e768-e769 |
artikel |
8 |
Artificial Intelligence in cancer pathology—hope or hype?
|
Ilyas, Mohammad |
|
|
|
11 |
p. e766-e767 |
artikel |
9 |
Automated and partly automated contact tracing: a systematic review to inform the control of COVID-19
|
Braithwaite, Isobel |
|
|
|
11 |
p. e607-e621 |
artikel |
10 |
Chest x-ray analysis with deep learning-based software as a triage test for pulmonary tuberculosis: a prospective study of diagnostic accuracy for culture-confirmed disease
|
Khan, Faiz Ahmad |
|
|
|
11 |
p. e573-e581 |
artikel |
11 |
Contact tracing: digital health on the frontline
|
The Lancet Digital Health, |
|
|
|
11 |
p. e561 |
artikel |
12 |
Correction to Lancet Digit Health 2021; 3: e507–16
|
|
|
|
|
11 |
p. e696 |
artikel |
13 |
Correction to Lancet Digit Health 2021; 3: e697–706
|
|
|
|
|
11 |
p. e696 |
artikel |
14 |
Data solidarity: a blueprint for governing health futures
|
Prainsack, Barbara |
|
|
|
11 |
p. e773-e774 |
artikel |
15 |
Deep learning for automated bowel preparation assessment during colonoscopy: time to embrace a new approach?
|
Ahmad, Omer F |
|
|
|
11 |
p. e685-e686 |
artikel |
16 |
Detection and subtyping of hepatic echinococcosis from plain CT images with deep learning: a retrospective, multicentre study
|
Wang, Zhan |
|
|
|
11 |
p. e754-e762 |
artikel |
17 |
Development and implementation of centralised, cloud-based, employee health contact tracing database and predictive modelling framework in the COVID-19 pandemic
|
Rabii, Kristine Bahareh |
|
|
|
11 |
p. e770-e772 |
artikel |
18 |
Development and validation of artificial intelligence-based prescreening of large-bowel biopsies taken in the UK and Portugal: a retrospective cohort study
|
Bilal, Mohsin |
|
|
|
11 |
p. e786-e797 |
artikel |
19 |
Digital technologies: a new determinant of health
|
The Lancet Digital Health, |
|
|
|
11 |
p. e684 |
artikel |
20 |
Disparity dashboards: an evaluation of the literature and framework for health equity improvement
|
Gallifant, Jack |
|
|
|
11 |
p. e831-e839 |
artikel |
21 |
Effect of telehealth-integrated antenatal care on pregnancy outcomes in Australia: an interrupted time-series analysis
|
Thirugnanasundralingam, Kaarthikayinie |
|
|
|
11 |
p. e798-e811 |
artikel |
22 |
Equitable prediction of respiratory syncytial virus risk in infants
|
The Lancet Digital Health, |
|
|
|
11 |
p. e749 |
artikel |
23 |
Evaluating interest in off-label use of disinfectants for COVID-19
|
Rivera, Jessica Malaty |
|
|
|
11 |
p. e564-e566 |
artikel |
24 |
Evaluation of artificial intelligence on a reference standard based on subjective interpretation
|
Chen, Po-Hsuan Cameron |
|
|
|
11 |
p. e693-e695 |
artikel |
25 |
Federated electronic health records for the European Health Data Space
|
Raab, René |
|
|
|
11 |
p. e840-e847 |
artikel |
26 |
From promise to practice: towards the realisation of AI-informed mental health care
|
Koutsouleris, Nikolaos |
|
|
|
11 |
p. e829-e840 |
artikel |
27 |
Fully closed-loop insulin delivery—are we nearly there yet?
|
Boughton, Charlotte K |
|
|
|
11 |
p. e689-e690 |
artikel |
28 |
Individualising intensive systolic blood pressure reduction in hypertension using computational trial phenomaps and machine learning: a post-hoc analysis of randomised clinical trials
|
Oikonomou, Evangelos K |
|
|
|
11 |
p. e796-e805 |
artikel |
29 |
Measuring mobility to monitor travel and physical distancing interventions: a common framework for mobile phone data analysis
|
Kishore, Nishant |
|
|
|
11 |
p. e622-e628 |
artikel |
30 |
Mental health in the digital age
|
The Lancet Digital Health, |
|
|
|
11 |
p. e765 |
artikel |
31 |
MindSpot: a valuable service that raises questions
|
Battersby, Malcolm Wayne |
|
|
|
11 |
p. e562-e563 |
artikel |
32 |
Multi-step validation of a deep learning-based system for the quantification of bowel preparation: a prospective, observational study
|
Zhou, Wei |
|
|
|
11 |
p. e697-e706 |
artikel |
33 |
Radiomics in neuro-oncological clinical trials
|
Lohmann, Philipp |
|
|
|
11 |
p. e841-e849 |
artikel |
34 |
Risk factors for severe respiratory syncytial virus infection during the first year of life: development and validation of a clinical prediction model
|
Vartiainen, Pekka |
|
|
|
11 |
p. e821-e830 |
artikel |
35 |
Sensor-based surveillance for digitising real-time COVID-19 tracking in the USA (DETECT): a multivariable, population-based, modelling study
|
Radin, Jennifer M |
|
|
|
11 |
p. e777-e786 |
artikel |
36 |
Spatially aware graph neural networks and cross-level molecular profile prediction in colon cancer histopathology: a retrospective multi-cohort study
|
Ding, Kexin |
|
|
|
11 |
p. e787-e795 |
artikel |
37 |
Stepping stones and challenges in the use of artificial intelligence in the diagnosis of echinococcosis
|
Manciulli, Tommaso |
|
|
|
11 |
p. e750-e751 |
artikel |
38 |
Targeting respiratory syncytial virus vaccination using individual prediction
|
Wildenbeest, Joanne G |
|
|
|
11 |
p. e752-e753 |
artikel |
39 |
The effect of population mobility on COVID-19 incidence in 314 Latin American cities: a longitudinal ecological study with mobile phone location data
|
Kephart, Josiah L |
|
|
|
11 |
p. e716-e722 |
artikel |
40 |
The false hope of current approaches to explainable artificial intelligence in health care
|
Ghassemi, Marzyeh |
|
|
|
11 |
p. e745-e750 |
artikel |
41 |
The International Hundred Thousand Plus Cohort Consortium: integrating large-scale cohorts to address global scientific challenges
|
Manolio, Teri A |
|
|
|
11 |
p. e567-e568 |
artikel |
42 |
The promise of a model-based psychiatry: building computational models of mental ill health
|
Hauser, Tobias U |
|
|
|
11 |
p. e816-e828 |
artikel |
43 |
UK digital health initiatives tackle racial inequality
|
Samarasekera, Udani |
|
|
|
11 |
p. e775-e776 |
artikel |
44 |
Use of LOINC for interoperability between organisations poses a risk to safety
|
Carter, Alexis B |
|
|
|
11 |
p. e569 |
artikel |
45 |
Use of LOINC for interoperability between organisations poses a risk to safety – Authors' reply
|
McKnight, Jacob |
|
|
|
11 |
p. e570 |
artikel |
46 |
User characteristics and outcomes from a national digital mental health service: an observational study of registrants of the Australian MindSpot Clinic
|
Titov, Nickolai |
|
|
|
11 |
p. e582-e593 |
artikel |
47 |
Validation of a real-time biliopancreatic endoscopic ultrasonography analytical device in China: a prospective, single-centre, randomised, controlled trial
|
Wu, Hui Ling |
|
|
|
11 |
p. e812-e820 |
artikel |
48 |
Warning symptoms associated with imminent sudden cardiac arrest: a population-based case-control study with external validation
|
Reinier, Kyndaron |
|
|
|
11 |
p. e763-e773 |
artikel |
49 |
Wearable device signals and home blood pressure data across age, sex, race, ethnicity, and clinical phenotypes in the Michigan Predictive Activity & Clinical Trajectories in Health (MIPACT) study: a prospective, community-based observational study
|
Golbus, Jessica R |
|
|
|
11 |
p. e707-e715 |
artikel |
50 |
X-ray dark-field chest imaging for detection and quantification of emphysema in patients with chronic obstructive pulmonary disease: a diagnostic accuracy study
|
Willer, Konstantin |
|
|
|
11 |
p. e733-e744 |
artikel |
51 |
X-ray dark field imaging: a tool for early diagnosis of emphysema in chronic obstructive pulmonary disease?
|
Ram, Sundaresh |
|
|
|
11 |
p. e691-e692 |
artikel |