《Lancet Digital Health》雜志的最新年發文量為75篇。
這表明該刊在每年都會精選并發表一定數量的高質量文章,以保持其在醫學:信息領域的學術影響力。
該刊聚焦于醫學-醫學:信息領域的前沿研究,致力于推動該領域新技術和新知識的傳播與應用。同時它積極鼓勵研究人員詳細發表其高質量的實驗研究和理論成果。
該刊的平均審稿周期約為 13 Weeks 。
Lancet Digital Health 雜志發文統計
文章名稱引用次數
- A comparison of deep learning performance against health-care professionals in detecting diseases from medical imaging: a systematic review and meta-analysis100
- Closed-loop insulin delivery in adults with type 1 diabetes in real-life conditions: a 12-week multicentre, open-label randomised controlled crossover trial26
- Artificial intelligence using deep learning to screen for referable and vision-threatening diabetic retinopathy in Africa: a clinical validation study26
- A chronological map of 308 physical and mental health conditions from 4 million individuals in the English National Health Service18
- Automated deep learning design for medical image classification by health-care professionals with no coding experience: a feasibility study18
- An image-based deep learning framework for individualising radiotherapy dose: a retrospective analysis of outcome prediction16
- Detection of glaucomatous optic neuropathy with spectral-domain optical coherence tomography: a retrospective training and validation deep-learning analysis15
- Prediction of lung cancer risk at follow-up screening with low-dose CT: a training and validation study of a deep learning method11
- Survival prediction in intensive-care units based on aggregation of long-term disease history and acute physiology: a retrospective study of the Danish National Patient Registry and electronic patient records10
- Healthy ageing through internet counselling in the elderly (HATICE): a multinational, randomised controlled trial8
國家/地區發文量
- USA98
- England53
- Canada29
- CHINA MAINLAND19
- Australia16
- France15
- GERMANY (FED REP GER)12
- Netherlands11
- Singapore11
- Switzerland11