| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
A big-data approach to producing descriptive anthropometric references: a feasibility and validation study of paediatric growth charts
|
Heude, Barbara
|
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|
8 |
p. e413-e423
|
artikel
|
| 2 |
An artificial intelligence algorithm for prostate cancer diagnosis in whole slide images of core needle biopsies: a blinded clinical validation and deployment study
|
Pantanowitz, Liron
|
|
|
|
8 |
p. e407-e416
|
artikel
|
| 3 |
Application of Comprehensive Artificial intelligence Retinal Expert (CARE) system: a national real-world evidence study
|
Lin, Duoru
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|
|
8 |
p. e486-e495
|
artikel
|
| 4 |
Applications of digital technology in COVID-19 pandemic planning and response
|
Whitelaw, Sera
|
|
|
|
8 |
p. e435-e440
|
artikel
|
| 5 |
A roadmap for familial hypercholesterolaemia control
|
Pereira, Alexandre C
|
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|
8 |
p. e376-e377
|
artikel
|
| 6 |
Artificial Intelligence and its role in surgical care in low-income and middle-income countries
|
Reddy, Ché L
|
|
|
|
8 |
p. e384-e386
|
artikel
|
| 7 |
Artificial intelligence and sexual health in the USA
|
Young, Sean D
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|
8 |
p. e467-e468
|
artikel
|
| 8 |
Artificial intelligence-based model to classify cardiac functions from chest radiographs: a multi-institutional, retrospective model development and validation study
|
Ueda, Daiju
|
|
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|
8 |
p. e525-e533
|
artikel
|
| 9 |
Assessing the utility of deep neural networks in predicting postoperative surgical complications: a retrospective study
|
Bonde, Alexander
|
|
|
|
8 |
p. e471-e485
|
artikel
|
| 10 |
A two-transcript biomarker of host classifier genes for discrimination of bacterial from viral infection in acute febrile illness: a multicentre discovery and validation study
|
Xu, Nannan
|
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8 |
p. e507-e516
|
artikel
|
| 11 |
Clinical deployment of AI for prostate cancer diagnosis
|
Janowczyk, Andrew
|
|
|
|
8 |
p. e383-e384
|
artikel
|
| 12 |
Concerns over England's new system for collecting general practitioner data
|
Burki, Talha
|
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8 |
p. e469-e470
|
artikel
|
| 13 |
Correction to Lancet Digit Health 2023; 5: e400–02
|
|
|
|
|
8 |
p. e484
|
artikel
|
| 14 |
Correction to Lancet Digit Health 2022; published online June 17. https://doi.org/10.1016/S2589-7500(22)00090-5
|
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|
8 |
p. e572
|
artikel
|
| 15 |
COVID-19 and the digital divide in the UK
|
Watts, Geoff
|
|
|
|
8 |
p. e395-e396
|
artikel
|
| 16 |
Crowdsourced predictions for emerging infectious diseases
|
The Lancet Digital Health,
|
|
|
|
8 |
p. e566
|
artikel
|
| 17 |
Data provenance and integrity of health-care systems data for clinical trials
|
Murray, Macey L
|
|
|
|
8 |
p. e567-e568
|
artikel
|
| 18 |
Decolonising health data
|
The Lancet Digital Health,
|
|
|
|
8 |
p. e477
|
artikel
|
| 19 |
Deep learning with weak annotation from diagnosis reports for detection of multiple head disorders: a prospective, multicentre study
|
Guo, Yuchen
|
|
|
|
8 |
p. e584-e593
|
artikel
|
| 20 |
Digital cognitive behavioural therapy for insomnia: the answer to a major public health issue?
|
van Straten, Annemieke
|
|
|
|
8 |
p. e381-e382
|
artikel
|
| 21 |
Digital health intervention at older ages
|
Gulliford, Martin
|
|
|
|
8 |
p. e382-e383
|
artikel
|
| 22 |
Digital tools against COVID-19: taxonomy, ethical challenges, and navigation aid
|
Gasser, Urs
|
|
|
|
8 |
p. e425-e434
|
artikel
|
| 23 |
Early human judgment forecasts of human monkeypox, May 2022
|
McAndrew, Thomas
|
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|
|
8 |
p. e569-e571
|
artikel
|
| 24 |
Effective coding is key to the development and use of the WHO Essential Diagnostics List
|
McKnight, Jacob
|
|
|
|
8 |
p. e387-e388
|
artikel
|
| 25 |
Effectiveness of wearable activity trackers to increase physical activity and improve health: a systematic review of systematic reviews and meta-analyses
|
Ferguson, Ty
|
|
|
|
8 |
p. e615-e626
|
artikel
|
| 26 |
Effect of a comprehensive deep-learning model on the accuracy of chest x-ray interpretation by radiologists: a retrospective, multireader multicase study
|
Seah, Jarrel C Y
|
|
|
|
8 |
p. e496-e506
|
artikel
|
| 27 |
Effect of epileptic activity on outcome for critically ill patients
|
Forss, Nina
|
|
|
|
8 |
p. e480-e481
|
artikel
|
| 28 |
Effects of digital cognitive behavioural therapy for insomnia on insomnia severity: a large-scale randomised controlled trial
|
Vedaa, Øystein
|
|
|
|
8 |
p. e397-e406
|
artikel
|
| 29 |
Effects of epileptiform activity on discharge outcome in critically ill patients in the USA: a retrospective cross-sectional study
|
Parikh, Harsh
|
|
|
|
8 |
p. e495-e502
|
artikel
|
| 30 |
Effects of human mobility restrictions on the spread of COVID-19 in Shenzhen, China: a modelling study using mobile phone data
|
Zhou, Ying
|
|
|
|
8 |
p. e417-e424
|
artikel
|
| 31 |
Exploring the clinical and genetic associations of adult weight trajectories using electronic health records in a racially diverse biobank: a phenome-wide and polygenic risk study
|
Xu, Jiayi
|
|
|
|
8 |
p. e604-e614
|
artikel
|
| 32 |
Geospatial digital monitoring of COVID-19 cases at high spatiotemporal resolution
|
De Ridder, David
|
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|
|
8 |
p. e393-e394
|
artikel
|
| 33 |
Google Health and the NHS: overcoming the trust deficit
|
Morley, Jessica
|
|
|
|
8 |
p. e389
|
artikel
|
| 34 |
Healthy ageing through internet counselling in the elderly (HATICE): a multinational, randomised controlled trial
|
Richard, Edo
|
|
|
|
8 |
p. e424-e434
|
artikel
|
| 35 |
Host gene signature shows promise to distinguish bacterial and viral infections
|
Channon-Wells, Samuel
|
|
|
|
8 |
p. e465-e466
|
artikel
|
| 36 |
Individualising the recovery process through eHealth
|
Chamely, Elias A
|
|
|
|
8 |
p. e478-e479
|
artikel
|
| 37 |
Machine learning for COVID-19—asking the right questions
|
Bachtiger, Patrik
|
|
|
|
8 |
p. e391-e392
|
artikel
|
| 38 |
Measuring growth: descriptive or prescriptive?
|
Berkley, James A
|
|
|
|
8 |
p. e380-e381
|
artikel
|
| 39 |
Medication errors and adverse drug events in a UK hospital during the optimisation of electronic prescriptions: a prospective observational study
|
Slight, Sarah P
|
|
|
|
8 |
p. e403-e412
|
artikel
|
| 40 |
Multimodal prognostic models and recent therapeutic advances
|
Minervini, Andrea
|
|
|
|
8 |
p. e482-e483
|
artikel
|
| 41 |
Multimodal recurrence scoring system for prediction of clear cell renal cell carcinoma outcome: a discovery and validation study
|
Gui, Cheng-Peng
|
|
|
|
8 |
p. e515-e524
|
artikel
|
| 42 |
Observational study of UK mobile health apps for COVID-19
|
Chidambaram, Swathikan
|
|
|
|
8 |
p. e388-e390
|
artikel
|
| 43 |
Patient data in the cloud
|
Webster, Paul
|
|
|
|
8 |
p. e391-e392
|
artikel
|
| 44 |
Personalised electronic health programme for recovery after major abdominal surgery: a multicentre, single-blind, randomised, placebo-controlled trial
|
den Bakker, Chantal M
|
|
|
|
8 |
p. e485-e494
|
artikel
|
| 45 |
Power to the people
|
The Lancet Digital Health,
|
|
|
|
8 |
p. e462
|
artikel
|
| 46 |
Precision screening for familial hypercholesterolaemia: a machine learning study applied to electronic health encounter data
|
Myers, Kelly D
|
|
|
|
8 |
p. e393-e402
|
artikel
|
| 47 |
Prediction of hospital-onset COVID-19 infections using dynamic networks of patient contact: an international retrospective cohort study
|
Myall, Ashleigh
|
|
|
|
8 |
p. e573-e583
|
artikel
|
| 48 |
Race to end health inequities
|
The Lancet Digital Health,
|
|
|
|
8 |
p. e380
|
artikel
|
| 49 |
Real-world validation of artificial intelligence algorithms for ophthalmic imaging
|
Domalpally, Amitha
|
|
|
|
8 |
p. e463-e464
|
artikel
|
| 50 |
Temporal trends and forecasting of COVID-19 hospitalisations and deaths in Scotland using a national real-time patient-level data platform: a statistical modelling study
|
Simpson, Colin R
|
|
|
|
8 |
p. e517-e525
|
artikel
|
| 51 |
The effects of physical distancing on population mobility during the COVID-19 pandemic in the UK
|
Drake, Thomas M
|
|
|
|
8 |
p. e385-e387
|
artikel
|
| 52 |
The global effect of digital health technologies on health workers’ competencies and health workplace: an umbrella review of systematic reviews and lexical-based and sentence-based meta-analysis
|
Borges do Nascimento, Israel Júnior
|
|
|
|
8 |
p. e534-e544
|
artikel
|
| 53 |
The need for feminist intersectionality in digital health
|
Figueroa, Caroline A
|
|
|
|
8 |
p. e526-e533
|
artikel
|
| 54 |
Therapist-guided internet-based psychodynamic therapy versus cognitive behavioural therapy for adolescent depression in Sweden: a randomised, clinical, non-inferiority trial
|
Mechler, Jakob
|
|
|
|
8 |
p. e594-e603
|
artikel
|
| 55 |
There is no such thing as race in health-care algorithms
|
The Lancet Digital Health,
|
|
|
|
8 |
p. e375
|
artikel
|
| 56 |
Ultrasound identification of hepatic echinococcosis using a deep convolutional neural network model in China: a retrospective, large-scale, multicentre, diagnostic accuracy study
|
Yang, Yongfeng
|
|
|
|
8 |
p. e503-e514
|
artikel
|
| 57 |
Why is measuring the effects of information technology on medication errors so difficult?
|
Westbrook, Johanna I
|
|
|
|
8 |
p. e378-e379
|
artikel
|
| 58 |
Why we cannot trust artificial intelligence in medicine
|
DeCamp, Matthew
|
|
|
|
8 |
p. e390
|
artikel
|
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