| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
Accurate classification of pulmonary nodules by a combined model of clinical, imaging, and cell-free DNA methylation biomarkers: a model development and external validation study
|
He, Jianxing
|
|
|
|
10 |
p. e647-e656
|
artikel
|
| 2 |
AI for mammography screening: enter evidence from prospective trials
|
Houssami, Nehmat
|
|
|
|
10 |
p. e641-e642
|
artikel
|
| 3 |
A machine-learning algorithm for diagnosis of multisystem inflammatory syndrome in children and Kawasaki disease in the USA: a retrospective model development and validation study
|
Lam, Jonathan Y
|
|
|
|
10 |
p. e717-e726
|
artikel
|
| 4 |
An evaluation of prospective COVID-19 modelling studies in the USA: from data to science translation
|
Nixon, Kristen
|
|
|
|
10 |
p. e738-e747
|
artikel
|
| 5 |
Applications of predictive modelling early in the COVID-19 epidemic
|
Poletto, Chiara
|
|
|
|
10 |
p. e498-e499
|
artikel
|
| 6 |
Artificial intelligence for breast cancer detection in screening mammography in Sweden: a prospective, population-based, paired-reader, non-inferiority study
|
Dembrower, Karin
|
|
|
|
10 |
p. e703-e711
|
artikel
|
| 7 |
Assessing procedural pain in infants: a feasibility study evaluating a point-of-care mobile solution based on automated facial analysis
|
Hoti, Kreshnik
|
|
|
|
10 |
p. e623-e634
|
artikel
|
| 8 |
Automated facial analysis of infant pain expressions: progress and future directions
|
Oster, Harriet
|
|
|
|
10 |
p. e613-e614
|
artikel
|
| 9 |
Classification of pulmonary nodules in the era of precision medicine
|
Peng, Muyun
|
|
|
|
10 |
p. e633-e634
|
artikel
|
| 10 |
Clinical features of COVID-19 mortality: development and validation of a clinical prediction model
|
Yadaw, Arjun S
|
|
|
|
10 |
p. e516-e525
|
artikel
|
| 11 |
Clinically relevant deep learning for detection and quantification of geographic atrophy from optical coherence tomography: a model development and external validation study
|
Zhang, Gongyu
|
|
|
|
10 |
p. e665-e675
|
artikel
|
| 12 |
CODE-EHR best-practice framework for the use of structured electronic health-care records in clinical research
|
Kotecha, Dipak
|
|
|
|
10 |
p. e757-e764
|
artikel
|
| 13 |
Communicating in a public health crisis
|
Wang, Hui
|
|
|
|
10 |
p. e503
|
artikel
|
| 14 |
Comparison of humans versus mobile phone-powered artificial intelligence for the diagnosis and management of pigmented skin cancer in secondary care: a multicentre, prospective, diagnostic, clinical trial
|
Menzies, Scott W
|
|
|
|
10 |
p. e679-e691
|
artikel
|
| 15 |
Conditions required for the artificial-intelligence-based computer-aided detection of tuberculosis to attain its global health potential
|
David, Pierre-Marie
|
|
|
|
10 |
p. e702-e704
|
artikel
|
| 16 |
Constructing custom-made radiotranscriptomic signatures of vascular inflammation from routine CT angiograms: a prospective outcomes validation study in COVID-19
|
Kotanidis, Christos P
|
|
|
|
10 |
p. e705-e716
|
artikel
|
| 17 |
Correction to Lancet Digit Health 2023; 5: e703–11
|
|
|
|
|
10 |
p. e646
|
artikel
|
| 18 |
Correction to Lancet Digit Health 2021; published online Aug 17. https://doi.org/10.1016/S2589-7500(21)00133-3
|
|
|
|
|
10 |
p. e622
|
artikel
|
| 19 |
CT scan AI-aided triage for patients with COVID-19 in China
|
Vardhanabhuti, Varut
|
|
|
|
10 |
p. e494-e495
|
artikel
|
| 20 |
Data capture and sharing in the COVID-19 pandemic: a cause for concern
|
Dron, Louis
|
|
|
|
10 |
p. e748-e756
|
artikel
|
| 21 |
Data journalism and the COVID-19 pandemic: opportunities and challenges
|
Desai, Angel
|
|
|
|
10 |
p. e619-e621
|
artikel
|
| 22 |
Deep learning-based triage and analysis of lesion burden for COVID-19: a retrospective study with external validation
|
Wang, Minghuan
|
|
|
|
10 |
p. e506-e515
|
artikel
|
| 23 |
Deep learning in geographic atrophy: the best is yet to come
|
Biarnés, Marc
|
|
|
|
10 |
p. e617-e618
|
artikel
|
| 24 |
Development and evaluation of a machine learning-based point-of-care screening tool for genetic syndromes in children: a multinational retrospective study
|
Porras, Antonio R
|
|
|
|
10 |
p. e635-e643
|
artikel
|
| 25 |
Development and validation of an interpretable machine learning-based calculator for predicting 5-year weight trajectories after bariatric surgery: a multinational retrospective cohort SOPHIA study
|
Saux, Patrick
|
|
|
|
10 |
p. e692-e702
|
artikel
|
| 26 |
Development and validation of deep learning classifiers to detect Epstein-Barr virus and microsatellite instability status in gastric cancer: a retrospective multicentre cohort study
|
Muti, Hannah Sophie
|
|
|
|
10 |
p. e654-e664
|
artikel
|
| 27 |
Diagnosis of suspicious pigmented lesions in specialist settings with artificial intelligence
|
Matin, Rubeta N
|
|
|
|
10 |
p. e639-e640
|
artikel
|
| 28 |
Digital therapy for depression in multiple sclerosis
|
The Lancet Digital Health,
|
|
|
|
10 |
p. e632
|
artikel
|
| 29 |
Early intervention for depressive symptoms in multiple sclerosis
|
Kiropoulos, Litza
|
|
|
|
10 |
p. e637-e638
|
artikel
|
| 30 |
Expanding people-centred primary health care with digital adaptation kits for self-care interventions
|
Narasimhan, Manjulaa
|
|
|
|
10 |
p. e643-e645
|
artikel
|
| 31 |
FAIR, ethical, and coordinated data sharing for COVID-19 response: a scoping review and cross-sectional survey of COVID-19 data sharing platforms and registries
|
Maxwell, Lauren
|
|
|
|
10 |
p. e712-e736
|
artikel
|
| 32 |
Guidelines for clinical trial protocols for interventions involving artificial intelligence: the SPIRIT-AI extension
|
Cruz Rivera, Samantha
|
|
|
|
10 |
p. e549-e560
|
artikel
|
| 33 |
Guiding better design and reporting of AI-intervention trials
|
The Lancet Digital Health,
|
|
|
|
10 |
p. e493
|
artikel
|
| 34 |
Illness severity assessment of older adults in critical illness using machine learning (ELDER-ICU): an international multicentre study with subgroup bias evaluation
|
Liu, Xiaoli
|
|
|
|
10 |
p. e657-e667
|
artikel
|
| 35 |
Important steps for artificial intelligence-based risk assessment of older adults
|
Wiil, Uffe Kock
|
|
|
|
10 |
p. e635-e636
|
artikel
|
| 36 |
Internet-delivered cognitive behavioural therapy programme to reduce depressive symptoms in patients with multiple sclerosis: a multicentre, randomised, controlled, phase 3 trial
|
Gold, Stefan M
|
|
|
|
10 |
p. e668-e678
|
artikel
|
| 37 |
Mapping and evaluating national data flows: transparency, privacy, and guiding infrastructural transformation
|
Zhang, Joe
|
|
|
|
10 |
p. e737-e748
|
artikel
|
| 38 |
On the face of it
|
The Lancet Digital Health,
|
|
|
|
10 |
p. e612
|
artikel
|
| 39 |
Personalising add-on treatment with inhaled corticosteroids in patients with chronic obstructive pulmonary disease: a benefit–harm modelling study
|
Yebyo, Henock G
|
|
|
|
10 |
p. e644-e653
|
artikel
|
| 40 |
Prediction models for COVID-19 clinical decision making
|
Leeuwenberg, Artuur M
|
|
|
|
10 |
p. e496-e497
|
artikel
|
| 41 |
Prediction of systemic biomarkers from retinal photographs: development and validation of deep-learning algorithms
|
Rim, Tyler Hyungtaek
|
|
|
|
10 |
p. e526-e536
|
artikel
|
| 42 |
Predictive performance and clinical application of COV50, a urinary proteomic biomarker in early COVID-19 infection: a prospective multicentre cohort study
|
Staessen, Jan A
|
|
|
|
10 |
p. e727-e737
|
artikel
|
| 43 |
Real-time COVID-19 forecasting: challenges and opportunities of model performance and translation
|
Nixon, Kristen
|
|
|
|
10 |
p. e699-e701
|
artikel
|
| 44 |
Reporting guidelines for clinical trial reports for interventions involving artificial intelligence: the CONSORT-AI extension
|
Liu, Xiaoxuan
|
|
|
|
10 |
p. e537-e548
|
artikel
|
| 45 |
Screening for facial differences worldwide: equity and ethics
|
McCradden, Melissa D
|
|
|
|
10 |
p. e615-e616
|
artikel
|
| 46 |
The association of community mobility with the time-varying reproduction number (R) of SARS-CoV-2: a modelling study across 330 local UK authorities
|
Li, You
|
|
|
|
10 |
p. e676-e683
|
artikel
|
| 47 |
The importance of linkage: lessons from one pandemic to another
|
The Lancet Digital Health,
|
|
|
|
10 |
p. e698
|
artikel
|
| 48 |
The online anti-vaccine movement in the age of COVID-19
|
Burki, Talha
|
|
|
|
10 |
p. e504-e505
|
artikel
|
| 49 |
Use of electronic tools for evidence-based preparedness and response to the COVID-19 pandemic in the WHO African region
|
Impouma, Benido
|
|
|
|
10 |
p. e500-e502
|
artikel
|
Tijdschrift beschrijving