Lancet Digital Health

Lancet Digital Health

柳叶刀数字健康

  • 1区 中科院分区
  • Q1 JCR分区

期刊简介

《Lancet Digital Health》是由ELSEVIER出版社创办的英文国际期刊(ISSN: 2589-7500,E-ISSN: 2589-7500),该期刊长期致力于医学:信息领域的创新研究,主要研究方向为Multiple。作为SCI、SCIE收录期刊(JCR分区 Q1,中科院 1区),本刊采用OA开放获取模式(OA占比1%),以发表医学:信息领域等方向的原创性研究为核心(研究类文章占比91.55%%)。凭借严格的同行评审与高效编辑流程,期刊年载文量精选控制在71篇,确保学术质量与前沿性。成果覆盖Web of ScienceWeb of Science、Scopus等国际权威数据库,为学者提供推动医学领域高水平交流平台。

投稿咨询

投稿提示

Lancet Digital Health审稿周期约为13 Weeks。该刊近年未被列入国际预警名单,年发文量约71篇,录用竞争适中,主题需确保紧密契合医学前沿。投稿策略提示:避开学术会议旺季投稿以缩短周期,语言建议专业润色提升可读性。

  • 医学 大类学科
  • English 出版语言
  • 是否预警
  • SCI、SCIE 期刊收录
  • 71 发文量

中科院分区

《新锐期刊分区表》(2026年3月发布)

Top期刊 综述期刊 大类学科 小类学科
医学
1区
MEDICAL INFORMATICS 医学:信息 MEDICINE, GENERAL & INTERNAL 医学:内科
1区 1区

期刊分区表(2025年3月升级版)

Top期刊 综述期刊 大类学科 小类学科
医学
1区
MEDICAL INFORMATICS 医学:信息 MEDICINE, GENERAL & INTERNAL 医学:内科
1区 1区

期刊分区表(2023年12月升级版)

Top期刊 综述期刊 大类学科 小类学科
医学
1区
MEDICAL INFORMATICS 医学:信息 MEDICINE, GENERAL & INTERNAL 医学:内科
1区 1区

期刊分区表(2022年12月升级版)

Top期刊 综述期刊 大类学科 小类学科
医学
1区
MEDICAL INFORMATICS 医学:信息 MEDICINE, GENERAL & INTERNAL 医学:内科
1区 1区

期刊分区表(2021年12月升级版)

Top期刊 综述期刊 大类学科 小类学科
医学
1区
MEDICAL INFORMATICS 医学:信息 MEDICINE, GENERAL & INTERNAL 医学:内科
1区 1区

JCR分区

2025-2026年最新版

按JCI指标学科分区 收录子集 分区 排名 百分位
学科:MEDICAL INFORMATICS SCIE Q1 1 / 54

99.1

学科:MEDICINE, GENERAL & INTERNAL SCIE Q1 8 / 336

97.8

学科:MEDICAL INFORMATICS SCIE Q1 1 / 55

99.09

学科:MEDICINE, GENERAL & INTERNAL SCIE Q1 8 / 336

97.77

2023-2024年最新版

按JCI指标学科分区 收录子集 分区 排名 百分位
学科:MEDICAL INFORMATICS SCIE Q1 1 / 44

98.9

学科:MEDICINE, GENERAL & INTERNAL SCIE Q1 6 / 325

98.3

学科:MEDICAL INFORMATICS SCIE Q1 1 / 44

98.86

学科:MEDICINE, GENERAL & INTERNAL SCIE Q1 6 / 329

98.33

CiteScore(2026年6月最新版)

CiteScore SJR SNIP CiteScore 排名
CiteScore:36.6 SJR:6.221 SNIP:5.768
学科类别 分区 排名 百分位
大类:Medicine 小类:Health Informatics Q1 1 / 168

99%

大类:Medicine 小类:Medicine (miscellaneous) Q1 2 / 466

99%

大类:Medicine 小类:Decision Sciences (miscellaneous) Q1 1 / 46

98%

大类:Medicine 小类:Health Information Management Q1 3 / 64

96%

期刊发文

  • RareArena: a comprehensive benchmark dataset unveiling the potential of large language models in rare disease diagnosi

    Author: Chen, Haichao; Zhao, Zhengyun; Zhou, Songchi; Hu, Shikai; Wang, Jinyuan; Jin, Ye; Jin, Xianghong; Tham, Yih Chung; Wang, Xiaofei; Ma, Weizhi; Wu, Honghan; Sheng, Bin; Zhang, Shuyang; Yu, Sheng; Wong, Tien Yin

    Journal: LANCET DIGITAL HEALTH. 2026; Vol. 8, Issue 2, pp. -. DOI: 10.1016/j.landig.2025.100953

  • The use of advanced machine learning to predict outcomes after atezolizumab plus bevacizumab for advanced hepatocellular carcinoma: a retrospective cohort stud

    Author: Vithayathil, Mathew; Manfredi, Giulia Francesca; D'alessio, Antonio; Fulgenzi, Claudia Angela Maria; Celsa, Ciro; Lombardi, Pasquale; Torkpour, Aria; Stefanini, Bernardo; Galle, Peter R.; Nishida, Naoshi; Scheiner, Bernhard; Crowley, Fionnuala; Wu, Linda; Ang, Celina; Marron, Thomas U.; Hsu, Wei-Fan; Lin, Chun-Yen; Lin, Ryan Po-Ting; Ulahannan, Susanna, V; Andanamala, Haripriya; Soror, Noha; Kaseb, Ahmed; Lapelusa, Michael; Mohamed, Yehia, I; Schonlein, Martin; Von Felden, Johann; Schulze, Kornelius; Wege, Henning; Wietharn, Brooke; Vivaldi, Caterina; Salani, Francesca; Masi, Gianluca; Pressiani, Tiziana; Dalbeni, Andrea; Natola, Leonardo; Marseglia, Mariarosaria; Piscaglia, Fabio; Huang, Yi-Hsiang; Lee, Pei-Chang; Pirisi, Mario; Parisi, Alessandro; Rohlen, Natascha; Thimme, Robert; Silletta, Marianna; Di Giacomo, Emanuela; Vincenzi, Bruno; Galbato, Luca; Vogel, Arndt; Cabibbo, Giuseppe; Camma, Calogero; Chon, Hong Jae; Pinter, Matthias; Cortellini, Alessio; Kudo, Masatoshi; Zanuso, Valentina; Rimassa, Lorenza; Pinato, David J.; Aboagye, Eric O.; Sharma, Rohini

    Journal: LANCET DIGITAL HEALTH. 2026; Vol. 8, Issue 2, pp. -. DOI: 10.1016/j.landig.2025.100952

  • End-to-end integrative segmentation and radiomics prognostic models for risk stratification of high-grade serous ovarian cancer: a retrospective multicohort stud

    Author: Linton-Reid, Kristofer; Lu, Haonan; Wengert, Georg; Fotopoulou, Christina; Lee, Philippa; Petta, Federica; Russo, Luca; Avensani, Giacomo; Arshad, Mubarik; Harter, Philipp; Chen, Mitchell; Boubnovski, Marc martell; Hindocha, Sumeet; Hunter, Benjamin; Posma, Joram m; Rockall, Andrea; Aboagye, Eric O

    Journal: LANCET DIGITAL HEALTH. 2026; Vol. 8, Issue 2, pp. -. DOI: 10.1016/j.landig.2025.100955

  • Reasoning-driven large language models in medicine: opportunities, challenges, and the road ahea

    Author: Wang, Xiaofei; Xiong, Zhuxin; Zou, Ke; Srinivasan, Sahana; Lo, Thaddaeus Wai Soon; Wu, Yilan; Zou, Minjie; Liu, Nan; Antaki, Fares; Ma, Weizhi; Atanasov, Atanas G.; Savulescu, Julian; Car, Josip; Klonoff, David C.; Sheng, Bin; Wong, Tien Yin; Chen, Qingyu; Tham, Yih Chung

    Journal: LANCET DIGITAL HEALTH. 2026; Vol. 8, Issue 1, pp. -. DOI: 10.1016/j.landig.2025.100931

  • Can generative artificial intelligence empower target trial emulations

    Author: Guan, Zhouyu; Zeng, Dian; Li, Huating; Wong, Tien Yin; Sheng, Bin

    Journal: LANCET DIGITAL HEALTH. 2026; Vol. 8, Issue 1, pp. -. DOI: 10.1016/j.landig.2025.100950

  • Associations between contralesional neuroplasticity and motor impairment through deep learning-derived MRI regional brain age in chronic stroke (ENIGMA): a multicohort, retrospective, observational stud

    Author: Park, Gilsoon; Khan, Mahir H.; Andrushko, Justin W.; Banaj, Nerisa; Borich, Michael R.; Boyd, Lara A.; Brodtmann, Amy; Brown, Truman R.; Buetefisch, Cathrin M.; Conforto, Adriana B.; Cramer, Steven C.; Dimyan, Michael; Domin, Martin; Donnelly, Miranda R.; Egorova-Brumley, Natalia; Ermer, Elsa R.; Feng, Wuwei; Geranmayeh, Fatemeh; Hanlon, Colleen A.; Hordacre, Brenton; Jahanshad, Neda; Kautz, Steven A.; Khlif, Mohamed Salah; Liu, Jingchun; Lotze, Martin; Macintosh, Bradley J.; Mohamed, Feroze B.; Nordvik, Jan E.; Piras, Fabrizio; Revill, Kate P.; Robertson, Andrew D.; Schranz, Christian; Schweighofer, Nicolas; Seo, Na Jin; Soekadar, Surjo R.; Srivastava, Shraddha; Tavenner, Bethany P.; Thielman, Gregory T.; Thomopoulos, Sophia, I; Vecchio, Daniela; Werden, Emilio; Westlye, Lars T.; Winstein, Carolee J.; Wittenberg, George F.; Ferris, Jennifer K.; Yu, Chunshui; Thompson, Paul M.; Liew, Sook-Lei; Kim, Hosung

    Journal: LANCET DIGITAL HEALTH. 2026; Vol. 8, Issue 1, pp. -. DOI: 10.1016/j.landig.2025.100942

  • Non-invasive biopsy diagnosis of diabetic kidney disease via deep learning applied to retinal images: a population-based stud

    Author: Meng, Ziyao; Guan, Zhouyu; Yu, Shujie; Wu, Yilan; Zhao, Yaoning; Shen, Jie; Lim, Cynthia Ciwei; Chen, Tingli; Yang, Dawei; Ran, An Ran; He, Feng; Hamzah, Haslina; Singh, Sarkaaj; Raof, Anis Syazwani Abd; Lee-Boey, Jian Wen Samuel; Lim, Soo-Kun; Sun, Xufang; Ge, Shuwang; Xu, Gang; Su, Hua; Cheng, Yang; Lu, Feng; Liao, Xiaofei; Jin, Hai; Deng, Chenxin; Ruan, Lei; Zhang, Cuntai; Wu, Chan; Dai, Rongping; Jin, Yixiao; Wang, Wenxiao; Li, Tingyao; Liu, Ruhan; Li, Jiajia; Shu, Jia; Lu, Yuwei; Wang, Xiangning; Wu, Qiang; Qin, Yiming; Tang, Jin; Sheng, Xiaohua; Jiao, Qiong; Yang, Xiaokang; Guo, Minyi; Mckay, Gareth J.; Hogg, Ruth E.; Liew, Gerald; Chee, Evelyn Yi Lyn; Hsu, Wynne; Li Lee, Mong; Szeto, Simon; Luk, Andrea O. Y.; Chan, Juliana C. N.; Cheung, Carol Y.; Tan, Gavin Siew Wei; Tham, Yih-Chung; Cheng, Ching-Yu; Sabanayagam, Charumathi; Lim, Lee-Ling; Jia, Weiping; Li, Huating; Sheng, Bin; Wong, Tien Yin

    Journal: LANCET DIGITAL HEALTH. 2025; Vol. 7, Issue 5, pp. -. DOI: 10.1016/j.landig.2025.02.008

  • Leveraging artificial intelligence for predicting spontaneous closure of perimembranous ventricular septal defect in children: a multicentre, retrospective study in Chin

    Author: Sun, Jing; Feng, Tienan; Wang, Bo; Li, Fen; Han, Bo; Chu, Maoping; Gong, Fangqi; Yi, Qijian; Zhou, Xin; Chen, Sun; Sun, Xin; Sun, Kun

    Journal: LANCET DIGITAL HEALTH. 2025; Vol. 7, Issue 1, pp. e44-e53. DOI: