The Lancet : Digital health

ISSNs: 2589-7500

Additional searchable ISSN (electronic): 2589-7500

Elsevier, Oxford [u.a.], United Kingdom

Scopus rating (2025): CiteScore 36.6 SJR 6.221 SNIP 5.768

Indexed in DOAJ

Journal

Titles	The Lancet : Digital health(2019 → …) The Lancet Digital Health The Lancet. Digital health
Additional searchable titles	Lancet Digit Health
ISSNs	2589-7500
Additional searchable ISSN (electronic)	2589-7500
Publisher	Elsevier, Oxford [u.a.]
Country/Territory	United Kingdom
ZDB-ID	2972368-1

Keywords

ASJC Scopus subject areas

Library keywords

610 Medicine and health

Are we heading towards a cybersecurity crisis in health care and are actions needed?

Freyer, O., Rajput, K., Ostermann, M., Gilbert, S. & Ghafur, S., Jan 2026, In: The Lancet. Digital health. 8, 1, 1 p., 100946.

Research output: Contribution to journal › Comment/Debate › Contributed › peer-review

Application of artificial intelligence and digital tools in cancer pathology

Shaktah, L. A., Carrero, Z. I., Hewitt, K. J., Gustav, M., Cecchini, M., Foersch, S. & Berezowska, S. & 1 others, Kather, J. N., Oct 2025, In: The Lancet. Digital health. 7, 10, 7 p., 100933.

Research output: Contribution to journal › Review article › Contributed › peer-review

Assessing genotype−phenotype correlations in colorectal cancer with deep learning: a multicentre cohort study

Gustav, M., van Treeck, M., Reitsam, N. G., Carrero, Z. I., Loeffler, C. M. L., Rabasco Meneghetti, A. & Märkl, B. & 15 others, Boardman, L. A., French, A. J., Goode, E. L., Gsur, A., Brezina, S., Gunter, M. J., Murphy, N., Hönscheid, P., Sperling, C., Foersch, S., Steinfelder, R., Harrison, T., Peters, U., Phipps, A. & Kather, J. N., 18 Aug 2025, (E-pub ahead of print) In: The Lancet Digital Health. 7, 8, 100891.

Research output: Contribution to journal › Research article › Contributed › peer-review

A future role for health applications of large language models depends on regulators enforcing safety standards

Freyer, O., Wiest, I. C., Kather, J. N. & Gilbert, S., Sept 2024, In: The Lancet Digital Health. 6, 9, p. e662-e672

Research output: Contribution to journal › Review article › Contributed › peer-review

A prognostic model for use before elective surgery to estimate the risk of postoperative pulmonary complications (GSU-Pulmonary Score): a development and validation study in three international cohorts

NIHR Global Health Research Unit on Global Surgery & STARSurg Collaborative, Jul 2024, In: The Lancet : Digital health. 6, 7, p. e507-e519