# The Lancet Digital Health

**Type:** Journals  
**Canonical URL:** https://scholariq.org/journals/the-lancet-digital-health/

## Facts

| Field | Value |
| --- | --- |
| Open Access | true |
| ISSN-L | 2589-7500 |
| ISSNs | 2589-7500 |
| OpenAlex ID | https://openalex.org/S4210237014 |
| Publisher | Elsevier BV |

## Journal papers

Showing 12 of 18.

- [Deep learning-based artificial intelligence model to assist thyroid nodule diagnosis and management: a multicentre diagnostic study](https://scholariq.org/papers/deep-learning-based-artificial-intelligence-model-to-assist-thyroid-nodule/)
- [Building trust while influencing online COVID-19 content in the social media world](https://scholariq.org/papers/building-trust-while-influencing-online-covid-19-content-in-the-social-media/)
- [Cost-effectiveness of artificial intelligence for screening colonoscopy: a modelling study](https://scholariq.org/papers/cost-effectiveness-of-artificial-intelligence-for-screening-colonoscopy-a/)
- [Deep learning to distinguish pancreatic cancer tissue from non-cancerous pancreatic tissue: a retrospective study with cross-racial external validation](https://scholariq.org/papers/deep-learning-to-distinguish-pancreatic-cancer-tissue-from-non-cancerous/)
- [Online health survey research during COVID-19](https://scholariq.org/papers/online-health-survey-research-during-covid-19/)
- [Deep learning-enabled pelvic ultrasound images for accurate diagnosis of ovarian cancer in China: a retrospective, multicentre, diagnostic study](https://scholariq.org/papers/deep-learning-enabled-pelvic-ultrasound-images-for-accurate-diagnosis-of-ovarian/)
- [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](https://scholariq.org/papers/effectiveness-reach-uptake-and-feasibility-of-digital-health-interventions-for-2/)
- [Screening performance and characteristics of breast cancer detected in the Mammography Screening with Artificial Intelligence trial (MASAI): a randomised, controlled, parallel-group, non-inferiority, single-blinded, screening accuracy study](https://scholariq.org/papers/screening-performance-and-characteristics-of-breast-cancer-detected-in-the/)
- [Deep learning-based classification of kidney transplant pathology: a retrospective, multicentre, proof-of-concept study](https://scholariq.org/papers/deep-learning-based-classification-of-kidney-transplant-pathology-a/)
- [WHO SMART guidelines: optimising country-level use of guideline recommendations in the digital age](https://scholariq.org/papers/who-smart-guidelines-optimising-country-level-use-of-guideline-recommendations/)
- [Deep learning-based triage and analysis of lesion burden for COVID-19: a retrospective study with external validation](https://scholariq.org/papers/deep-learning-based-triage-and-analysis-of-lesion-burden-for-covid-19-a/)
- [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](https://scholariq.org/papers/development-and-validation-of-an-interpretable-machine-learning-based-calculator/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.