| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
Accuracy of mobile digital teledermoscopy for skin self-examinations in adults at high risk of skin cancer: an open-label, randomised controlled trial
|
Janda, Monika
|
|
|
|
3 |
p. e129-e137
|
artikel
|
| 2 |
A computer-aided polyp detection system in screening and surveillance colonoscopy: an international, multicentre, randomised, tandem trial
|
Maas, Michiel H J
|
|
|
|
3 |
p. e157-e165
|
artikel
|
| 3 |
A data-driven approach for studying the role of body mass in multiple diseases: a phenome-wide registry-based case-control study in the UK Biobank
|
Hyppönen, Elina
|
|
2019
|
|
3 |
p. e116-e126
|
artikel
|
| 4 |
Advancing digital health applications: priorities for innovation in real-world evidence generation
|
Stern, Ariel D
|
|
|
|
3 |
p. e200-e206
|
artikel
|
| 5 |
AI-CAD for tuberculosis and other global high-burden diseases
|
Arentz, Matthew
|
|
|
|
3 |
p. e115
|
artikel
|
| 6 |
A milestone on the journey to a digital NHS
|
Burki, Talha
|
|
2019
|
|
3 |
p. e114-e115
|
artikel
|
| 7 |
An image-based deep learning framework for individualising radiotherapy dose: a retrospective analysis of outcome prediction
|
Lou, Bin
|
|
2019
|
|
3 |
p. e136-e147
|
artikel
|
| 8 |
A nomogram for use of non-invasive respiratory strategies in COVID-19
|
Hess, Dean R
|
|
|
|
3 |
p. e140-e141
|
artikel
|
| 9 |
Application of a novel machine learning framework for predicting non-metastatic prostate cancer-specific mortality in men using the Surveillance, Epidemiology, and End Results (SEER) database
|
Lee, Changhee
|
|
|
|
3 |
p. e158-e165
|
artikel
|
| 10 |
Approval of artificial intelligence and machine learning-based medical devices in the USA and Europe (2015–20): a comparative analysis
|
Muehlematter, Urs J
|
|
|
|
3 |
p. e195-e203
|
artikel
|
| 11 |
Artificial intelligence-based models enabling accurate diagnosis of ovarian cancer using laboratory tests in China: a multicentre, retrospective cohort study
|
Cai, Guangyao
|
|
|
|
3 |
p. e176-e186
|
artikel
|
| 12 |
A simple nomogram for predicting failure of non-invasive respiratory strategies in adults with COVID-19: a retrospective multicentre study
|
Liu, Ling
|
|
|
|
3 |
p. e166-e174
|
artikel
|
| 13 |
Automated cardiac arrest detection using a photoplethysmography wristband: algorithm development and validation in patients with induced circulatory arrest in the DETECT-1 study
|
Edgar, Roos
|
|
|
|
3 |
p. e201-e210
|
artikel
|
| 14 |
Canadian digital health data breaches: time for reform
|
Webster, Paul
|
|
|
|
3 |
p. e113-e114
|
artikel
|
| 15 |
Can artificial intelligence help create racial equality in the USA?
|
The Lancet Digital Health,
|
|
|
|
3 |
p. e135
|
artikel
|
| 16 |
Challenging racism in the use of health data
|
Knight, Hannah E
|
|
|
|
3 |
p. e144-e146
|
artikel
|
| 17 |
Changes in cancer detection and false-positive recall in mammography using artificial intelligence: a retrospective, multireader study
|
Kim, Hyo-Eun
|
|
|
|
3 |
p. e138-e148
|
artikel
|
| 18 |
Characterisation of digital therapeutic clinical trials: a systematic review with natural language processing
|
Miao, Brenda Y
|
|
|
|
3 |
p. e222-e229
|
artikel
|
| 19 |
ChatGPT: friend or foe?
|
The Lancet Digital Health,
|
|
|
|
3 |
p. e102
|
artikel
|
| 20 |
ChatGPT: the future of discharge summaries?
|
Patel, Sajan B
|
|
|
|
3 |
p. e107-e108
|
artikel
|
| 21 |
Child and adolescent health in the digital age
|
The Lancet Digital Health,
|
|
|
|
3 |
p. e102
|
artikel
|
| 22 |
Comparison of eight prehospital early warning scores in life-threatening acute respiratory distress: a prospective, observational, multicentre, ambulance-based, external validation study
|
Castro Villamor, Miguel A
|
|
|
|
3 |
p. e166-e175
|
artikel
|
| 23 |
Correction to Lancet Digital Health 2019; 1: e8–9
|
|
|
2019
|
|
3 |
p. e113
|
artikel
|
| 24 |
Correction to Lancet Digital Health 2019; 1: e13–14
|
|
|
2019
|
|
3 |
p. e113
|
artikel
|
| 25 |
Correction to Lancet Digital Health 2020; 2: e54–55
|
|
|
|
|
3 |
p. e115
|
artikel
|
| 26 |
Correction to Lancet Digit Health 2020; 2: e435–40
|
|
|
|
|
3 |
p. e147
|
artikel
|
| 27 |
Correction to Lancet Digit Health 2024; 6: e153
|
|
|
|
|
3 |
p. e156
|
artikel
|
| 28 |
CT derived radiomic score for predicting the added benefit of adjuvant chemotherapy following surgery in stage I, II resectable non-small cell lung cancer: a retrospective multicohort study for outcome prediction
|
Vaidya, Pranjal
|
|
|
|
3 |
p. e116-e128
|
artikel
|
| 29 |
Deep learning-enabled pelvic ultrasound images for accurate diagnosis of ovarian cancer in China: a retrospective, multicentre, diagnostic study
|
Gao, Yue
|
|
|
|
3 |
p. e179-e187
|
artikel
|
| 30 |
Detection of all-cause advanced hepatic fibrosis using an ensemble machine learning framework
|
Cross, Timothy J S
|
|
|
|
3 |
p. e152-e153
|
artikel
|
| 31 |
Development and validation of an ensemble machine learning framework for detection of all-cause advanced hepatic fibrosis: a retrospective cohort study
|
Sarvestany, Soren Sabet
|
|
|
|
3 |
p. e188-e199
|
artikel
|
| 32 |
Digital health and the elusive quest for cost savings
|
Rahimi, Kazem
|
|
2019
|
|
3 |
p. e108-e109
|
artikel
|
| 33 |
Digital transformation of ovarian cancer diagnosis and care
|
The Lancet Digital Health,
|
|
|
|
3 |
p. e145
|
artikel
|
| 34 |
Disrupting the power balance between doctors and patients in the digital era
|
Goodday, Sarah M
|
|
|
|
3 |
p. e142-e143
|
artikel
|
| 35 |
3D technology and telemedicine in humanitarian settings
|
Moreau, Pierre
|
|
|
|
3 |
p. e108-e110
|
artikel
|
| 36 |
Effectiveness, reach, uptake, and feasibility of digital health interventions for adults with hypertension: a systematic review and meta-analysis of randomised controlled trials
|
Siopis, George
|
|
|
|
3 |
p. e144-e159
|
artikel
|
| 37 |
Effectiveness, reach, uptake, and feasibility of digital health interventions for adults with type 2 diabetes: a systematic review and meta-analysis of randomised controlled trials
|
Moschonis, George
|
|
|
|
3 |
p. e125-e143
|
artikel
|
| 38 |
Embedding patient-reported outcomes at the heart of artificial intelligence health-care technologies
|
Cruz Rivera, Samantha
|
|
|
|
3 |
p. e168-e173
|
artikel
|
| 39 |
Empowering women in health technology
|
The Lancet Digital Health,
|
|
|
|
3 |
p. e149
|
artikel
|
| 40 |
Evaluating AI in breast cancer screening: a complex task
|
Dustler, Magnus
|
|
|
|
3 |
p. e106-e107
|
artikel
|
| 41 |
Face masks help control transmission of COVID-19
|
Clapham, Hannah E
|
|
|
|
3 |
p. e136-e137
|
artikel
|
| 42 |
From GWAS to PheWAS: the search for causality in big data
|
Huang, Jonathan Y
|
|
2019
|
|
3 |
p. e101-e103
|
artikel
|
| 43 |
Further evaluation is required for smartphone-aided diagnosis of skin cancer
|
Walter, Fiona M
|
|
|
|
3 |
p. e104-e105
|
artikel
|
| 44 |
Generating scholarly content with ChatGPT: ethical challenges for medical publishing
|
Liebrenz, Michael
|
|
|
|
3 |
p. e105-e106
|
artikel
|
| 45 |
Handcrafted versus deep learning radiomics for prediction of cancer therapy response
|
Hosny, Ahmed
|
|
2019
|
|
3 |
p. e106-e107
|
artikel
|
| 46 |
Health conditions linked to heightened risk of Alzheimer's disease
|
Kivimäki, Mika
|
|
|
|
3 |
p. e150-e151
|
artikel
|
| 47 |
Home telemonitoring versus hospital care in complicated pregnancies in the Netherlands: a randomised, controlled non-inferiority trial (HoTeL)
|
Bekker, Mireille N
|
|
|
|
3 |
p. e116-e124
|
artikel
|
| 48 |
Hybrid closed-loop insulin delivery versus sensor-augmented pump therapy in children aged 6–12 years: a randomised, controlled, cross-over, non-inferiority trial
|
Kariyawasam, Dulanjalee
|
|
|
|
3 |
p. e158-e168
|
artikel
|
| 49 |
Identifying health conditions associated with Alzheimer's disease up to 15 years before diagnosis: an agnostic study of French and British health records
|
Nedelec, Thomas
|
|
|
|
3 |
p. e169-e178
|
artikel
|
| 50 |
Implications of artificial intelligence for medical education
|
Rampton, Vanessa
|
|
|
|
3 |
p. e111-e112
|
artikel
|
| 51 |
Improving insights into health care with data linkage to financial technology
|
Inkster, Becky
|
|
2019
|
|
3 |
p. e110-e112
|
artikel
|
| 52 |
Is predicting metastatic phaeochromocytoma and paraganglioma still effective without methoxytyramine?
|
Saygili, Emre Sedar
|
|
|
|
3 |
p. e154
|
artikel
|
| 53 |
Is predicting metastatic phaeochromocytoma and paraganglioma still effective without methoxytyramine? – Authors' reply
|
Pamporaki, Christina
|
|
|
|
3 |
p. e155
|
artikel
|
| 54 |
Just in time: detecting cardiac arrest with smartwatch technology
|
Somani, Sulaiman
|
|
|
|
3 |
p. e148-e149
|
artikel
|
| 55 |
Mask-wearing and control of SARS-CoV-2 transmission in the USA: a cross-sectional study
|
Rader, Benjamin
|
|
|
|
3 |
p. e148-e157
|
artikel
|
| 56 |
Normative modelling of brain morphometry across the lifespan with CentileBrain: algorithm benchmarking and model optimisation
|
Ge, Ruiyang
|
|
|
|
3 |
p. e211-e221
|
artikel
|
| 57 |
Open-source code to extend early-onset sepsis calculator accessibility
|
van der Weijden, Bo M
|
|
|
|
3 |
p. e153
|
artikel
|
| 58 |
Optimal strategies to improve uptake of and adherence to HIV prevention among young people at risk for HIV acquisition in the USA (ATN 149): a randomised, controlled, factorial trial
|
Swendeman, Dallas
|
|
|
|
3 |
p. e187-e200
|
artikel
|
| 59 |
Predicting prostate cancer-specific mortality using SEER
|
Henning, Grant M
|
|
|
|
3 |
p. e138-e139
|
artikel
|
| 60 |
Reducing HIV incidence among young people identifying as sexual and gender minorities
|
Moitra, Ethan
|
|
|
|
3 |
p. e146-e147
|
artikel
|
| 61 |
Safe care from home for complicated pregnancies?
|
Tucker, Katherine L
|
|
|
|
3 |
p. e103-e104
|
artikel
|
| 62 |
Thank you to The Lancet Digital Health's clinical and statistical peer reviewers in 2021
|
The Lancet Digital Health Editors,
|
|
|
|
3 |
p. e154-e157
|
artikel
|
| 63 |
Thank you to The Lancet Digital Health's statistical and peer reviewers in 2022
|
The Lancet Digital Health Editors,
|
|
|
|
3 |
p. e112-e114
|
artikel
|
| 64 |
Thank you to The Lancet Digital Health's statistical and peer reviewers in 2023
|
The Lancet Digital Health Editors,
|
|
|
|
3 |
p. e150-e152
|
artikel
|
| 65 |
The effects and preventability of 2627 patient safety incidents related to health information technology failures: a retrospective analysis of 10 years of incident reporting in England and Wales
|
Martin, Guy
|
|
2019
|
|
3 |
p. e127-e135
|
artikel
|
| 66 |
The future of radiomics in lung cancer
|
Thawani, Rajat
|
|
|
|
3 |
p. e103
|
artikel
|
| 67 |
The role of patient-reported outcome measures in trials of artificial intelligence health technologies: a systematic evaluation of ClinicalTrials.gov records (1997–2022)
|
Pearce, Finlay J
|
|
|
|
3 |
p. e160-e167
|
artikel
|
| 68 |
US COVID-19 clinical trial leadership gender disparities
|
Sehgal, Neil K R
|
|
|
|
3 |
p. e109-e111
|
artikel
|
| 69 |
Using patient safety-event report data to assess health-IT safety: benefits and challenges
|
Howe, Jessica L
|
|
2019
|
|
3 |
p. e104-e105
|
artikel
|
| 70 |
Walking the tightrope of artificial intelligence guidelines in clinical practice
|
The Lancet Digital Health,
|
|
2019
|
|
3 |
p. e100
|
artikel
|
| 71 |
What social media told us in the time of COVID-19: a scoping review
|
Tsao, Shu-Feng
|
|
|
|
3 |
p. e175-e194
|
artikel
|
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