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The Lancet Digital Health

E. Topol, M. Ghassemi, L. Celi, Xiaoxuan Liu, L. Faes, A. Kale, S. Wagner, D. J. Fu, A. Bruynseels, T. Mahendiran, Gabriella Moraes, Mohith Shamdas, C. Kern, J. Ledsam, M. Schmid, K. Balaskas, L. Bachmann, P. Keane, A. Denniston, S. Whitelaw, M. Mamas, H. V. Van Spall, Luke Oakden-Rayner, Andrew Beam, Shu-Feng Tsao, Helen H Chen, Therese Tisseverasinghe, Yang Yang, Lianghua Li, Z. Butt, K. Sun, Jenny Chen, C. Viboud, Sajan B Patel, Kyle Lam, Yadi Zhou, Fei Wang, Jian Tang, R. Nussinov, F. Cheng, I. Banerjee, A. Bhimireddy, J. L. Burns, Li-Ching Chen, R. Correa, Natalie Dullerud, Po-Chih Kuo, M. Lungren, L. Palmer, Brandon Price, S. Purkayastha, Ayis Pyrros, Luke Oakden-Rayner, Chima Okechukwu, Laleh Seyyed-Kalantari, H. Trivedi, Ryan Wang, Z. Zaiman, Haoran Zhang, J. Gichoya, Urs J. Muehlematter, P. Daniore, K. Vokinger, B. Mccall, M. Liebrenz, R. Schleifer, A. Buadze, D. Bhugra, Alexander Smith, Hyo-Eun Kim, H. Kim, B. Han, Ki Hwan Kim, Kyunghwa Han, Hyeonseob Nam, E. Lee, Eun-Kyung Kim, A. B. Brueggemann, Melissa J. Jansen van Rensburg, D. Shaw, N. McCarthy, K. Jolley, M. Maiden, M. P. van der Linden, Z. Amin-Chowdhury, D. Bennett, R. Borrow, M. Brandileone, K. Broughton, R. Campbell, B. Cao, Carlo Casanova, E. Choi, Y. Chu, S. Clark, H. Claus, J. Coelho, M. Corcoran, S. Cottrell, R. Cunney, T. Dalby, H. Davies, L. De Gouveia, A. Deghmane, W. Demczuk, S. Desmet, R. Drew, M. du Plessis, H. Erlendsdóttir, N. Fry, K. Fuursted, S. Gray, B. Henriques-Normark, Thomas Hale, M. Hilty, S. Hoffmann, H. Humphreys, M. Ip, S. Jacobsson, J. Johnston, J. Kozáková, K. Kristinsson, P. Krizova, A. Kuch, S. Ladhani, Thiên-Trí Lâm, V. Lebedová, L. Lindholm, D. Litt, I. Martin, D. Martiny, W. Mattheus, M. McElligott, M. Meehan, S. Meiring, P. Mölling, E. Morfeldt, J. Morgan, R. Mulhall, C. Muñoz-Almagro, D. Murdoch, Joy Murphy, M. Musílek, A. Mzabi, A. Pérez-Argüello, M. Perrin, Malorie Perry, A. Redin, R. Roberts, M. Roberts, A. Rokney, Merav Ron, K. Scott, C. Sheppard, L. Siira, A. Skoczyńska, Monica Sloan, H. Slotved, Andrew J. Smith, J. Song, M. Taha, M. Toropainen, D. Tsang, A. Vainio, N. V. van Sorge, E. Varon, J. Vlach, U. Vogel, Sandra Vohrnova, A. von Gottberg, R. Zanella, F. Zhou, Joseph D. Futoma, Morgan Simons, T. Panch, F. Doshi-Velez Show more
14
Title Level Year L/Y
A comparison of deep learning performance against health-care professionals in detecting diseases from medical imaging: a systematic review and meta-analysis.
17 auth. Xiaoxuan Liu, L. Faes, A. Kale, S. Wagner, D. J. Fu, A. Bruynseels, T. Mahendiran, Gabriella Moraes, Mohith Shamdas, C. Kern, ... J. Ledsam, M. Schmid, K. Balaskas, E. Topol, L. Bachmann, P. Keane, A. Denniston
10 2019 10
2019
Applications of digital technology in COVID-19 pandemic planning and response
S. Whitelaw, M. Mamas, E. Topol, H. V. Van Spall
9 2020 9
2020
The false hope of current approaches to explainable artificial intelligence in health care.
M. Ghassemi, Luke Oakden-Rayner, Andrew Beam
9 2021 9
2021
What social media told us in the time of COVID-19: a scoping review
Shu-Feng Tsao, Helen H Chen, Therese Tisseverasinghe, Yang Yang, Lianghua Li, Z. Butt
8 2021 8
2021
Early epidemiological analysis of the coronavirus disease 2019 outbreak based on crowdsourced data: a population-level observational study
K. Sun, Jenny Chen, C. Viboud
8 2020 8
2020
ChatGPT: the future of discharge summaries?
Sajan B Patel, Kyle Lam
8 2023 8
2023
Artificial intelligence in COVID-19 drug repurposing
Yadi Zhou, Fei Wang, Jian Tang, R. Nussinov, F. Cheng
8 2020 8
2020
AI recognition of patient race in medical imaging: a modelling study
22 auth. I. Banerjee, A. Bhimireddy, J. L. Burns, L. Celi, Li-Ching Chen, R. Correa, Natalie Dullerud, M. Ghassemi, Po-Chih Kuo, M. Lungren, ... L. Palmer, Brandon Price, S. Purkayastha, Ayis Pyrros, Luke Oakden-Rayner, Chima Okechukwu, Laleh Seyyed-Kalantari, H. Trivedi, Ryan Wang, Z. Zaiman, Haoran Zhang, J. Gichoya
8 2021 8
2021
Approval of artificial intelligence and machine learning-based medical devices in the USA and Europe (2015-20): a comparative analysis.
Urs J. Muehlematter, P. Daniore, K. Vokinger
8 2021 8
2021
COVID-19 and artificial intelligence: protecting health-care workers and curbing the spread
B. Mccall
8 2020 8
2020
Generating scholarly content with ChatGPT: ethical challenges for medical publishing.
M. Liebrenz, R. Schleifer, A. Buadze, D. Bhugra, Alexander Smith
8 2023 8
2023
Changes in cancer detection and false-positive recall in mammography using artificial intelligence: a retrospective, multireader study.
8 auth. Hyo-Eun Kim, H. Kim, B. Han, Ki Hwan Kim, Kyunghwa Han, Hyeonseob Nam, ... E. Lee, Eun-Kyung Kim
8 2020 8
2020
Changes in the incidence of invasive disease due to Streptococcus pneumoniae, Haemophilus influenzae, and Neisseria meningitidis during the COVID-19 pandemic in 26 countries and territories in the Invasive Respiratory Infection Surveillance Initiative: a prospective analysis of surveillance data
95 auth. A. B. Brueggemann, Melissa J. Jansen van Rensburg, D. Shaw, N. McCarthy, K. Jolley, M. Maiden, M. P. van der Linden, Z. Amin-Chowdhury, D. Bennett, R. Borrow, M. Brandileone, K. Broughton, R. Campbell, B. Cao, Carlo Casanova, ... E. Choi, Y. Chu, S. Clark, H. Claus, J. Coelho, M. Corcoran, S. Cottrell, R. Cunney, T. Dalby, H. Davies, L. De Gouveia, A. Deghmane, W. Demczuk, S. Desmet, R. Drew, M. du Plessis, H. Erlendsdóttir, N. Fry, K. Fuursted, S. Gray, B. Henriques-Normark, Thomas Hale, M. Hilty, S. Hoffmann, H. Humphreys, M. Ip, S. Jacobsson, J. Johnston, J. Kozáková, K. Kristinsson, P. Krizova, A. Kuch, S. Ladhani, Thiên-Trí Lâm, V. Lebedová, L. Lindholm, D. Litt, I. Martin, D. Martiny, W. Mattheus, M. McElligott, M. Meehan, S. Meiring, P. Mölling, E. Morfeldt, J. Morgan, R. Mulhall, C. Muñoz-Almagro, D. Murdoch, Joy Murphy, M. Musílek, A. Mzabi, A. Pérez-Argüello, M. Perrin, Malorie Perry, A. Redin, R. Roberts, M. Roberts, A. Rokney, Merav Ron, K. Scott, C. Sheppard, L. Siira, A. Skoczyńska, Monica Sloan, H. Slotved, Andrew J. Smith, J. Song, M. Taha, M. Toropainen, D. Tsang, A. Vainio, N. V. van Sorge, E. Varon, J. Vlach, U. Vogel, Sandra Vohrnova, A. von Gottberg, R. Zanella, F. Zhou
8 2021 8
2021
The myth of generalisability in clinical research and machine learning in health care
Joseph D. Futoma, Morgan Simons, T. Panch, F. Doshi-Velez, L. Celi
8 2020 8
2020