更多开发者作品
The Lancet Digital Health
| 1. | [Review] Revealing transparency gaps in publicly available COVID-19 datasets used for medical artificial intelligence development—a systematic review | Joseph E Alderman, Maria Charalambides, Gagandeep Sachdeva, Elinor Laws, Joanne Palmer, Elsa Lee, Vaishnavi Menon, Qasim Malik, Sonam Vadera, Melanie Calvert, Marzyeh Ghassemi, Melissa D McCradden, Johan Ordish, Bilal Mateen, Charlotte Summers, Jacqui Gath, Rubeta N Matin, Alastair K Denniston, Xiaoxuan Liu | |
| 2. | [Articles] Strategies for integrating artificial intelligence into mammography screening programmes: a retrospective simulation analysis | Zacharias V Fisches, Michael Ball, Trasias Mukama, Vilim Štih, Nicholas R Payne, Sarah E Hickman, Fiona J Gilbert, Stefan Bunk, Christian Leibig | |
| 3. | [Resource] Unleashing the strengths of unlabelled data in deep learning-assisted pan-cancer abdominal organ quantification: the FLARE22 challenge | Jun Ma, Yao Zhang, Song Gu, Cheng Ge, Shihao Mae, Adamo Young, Cheng Zhu, Xin Yang, Kangkang Meng, Ziyan Huang, Fan Zhang, Yuanke Pan, Shoujin Huang, Jiacheng Wang, Mingze Sun, Rongguo Zhang, Dengqiang Jia, Jae Won Choi, Natália Alves, Bram de Wilde, Gregor Koehler, Haoran Lai, Ershuai Wang, Manuel Wiesenfarth, Qiongjie Zhu, Guoqiang Dong, Jian He, FLARE Challenge Consortium, Bo Wang | |
| 4. | [Articles] COVID-19 testing and reporting behaviours in England across different sociodemographic groups: a population-based study using testing data and data from community prevalence surveillance surveys | Sumali Bajaj, Siyu Chen, Richard Creswell, Reshania Naidoo, Joseph L-H Tsui, Olumide Kolade, George Nicholson, Brieuc Lehmann, James A Hay, Moritz U G Kraemer, Ricardo Aguas, Christl A Donnelly, Tom Fowler, Susan Hopkins, Liberty Cantrell, Prabin Dahal, Lisa J White, Kasia Stepniewska, Merryn Voysey, Ben Lambert, EY-Oxford Health Analytics Consortium | |
| 5. | [Articles] Artificial intelligence-enabled electrocardiogram for mortality and cardiovascular risk estimation: a model development and validation study | Arunashis Sau, Libor Pastika, Ewa Sieliwonczyk, Konstantinos Patlatzoglou, Antônio H Ribeiro, Kathryn A McGurk, Boroumand Zeidaabadi, Henry Zhang, Krzysztof Macierzanka, Danilo Mandic, Ester Sabino, Luana Giatti, Sandhi M Barreto, Lidyane do Valle Camelo, Ioanna Tzoulaki, Declan P O'Regan, Nicholas S Peters, James S Ware, Antonio Luiz P Ribeiro, Daniel B Kramer, Jonathan W Waks, Fu Siong Ng | |
| 6. | [Correspondence] Fairly evaluating the performance of normative models – Authors' reply | Ruiyang Ge, Yuetong Yu, Denghuang Zhan, Sophia Frangou | |
| 7. | [Correspondence] Fairly evaluating the performance of normative models | Andre Marquand, Saige Rutherford, Richard Dinga | |
| 8. | [Editorial] Lifting the veil on health datasets | The Lancet Digital Health | |
| 9. | [Corrections] Correction to Lancet Digit Health 2024; published online Sept 17. https://doi.org/10.1016/S2589-7500(24)00143-2 | | |
| 10. | [Comment] Combating medical misinformation and rebuilding trust in the USA | Clara E Tandar, John C Lin, Fatima Cody Stanford | |
| 11. | [Viewpoint] Demographic reporting in biosignal datasets: a comprehensive analysis of the PhysioNet open access database | Sarah Jiang, Perisa Ashar, Md Mobashir Hasan Shandhi, Jessilyn Dunn | |
| 12. | [Review] Mobile phone interventions to improve health outcomes among patients with chronic diseases: an umbrella review and evidence synthesis from 34 meta-analyses | Shufang Sun, Otto Simonsson, Stephen McGarvey, John Torous, Simon B Goldberg | |
| 13. | [Review] Generative artificial intelligence and ethical considerations in health care: a scoping review and ethics checklist | Yilin Ning, Salinelat Teixayavong, Yuqing Shang, Julian Savulescu, Vaishaanth Nagaraj, Di Miao, Mayli Mertens, Daniel Shu Wei Ting, Jasmine Chiat Ling Ong, Mingxuan Liu, Jiuwen Cao, Michael Dunn, Roger Vaughan, Marcus Eng Hock Ong, Joseph Jao-Yiu Sung, Eric J Topol, Nan Liu | |
更新于 34 分钟前
近期历史最近 100 条记录
| 2024-10-24 | [Review] Revealing transparency gaps in publicly available COVID-19 datasets used for medical artificial intelligence development—a systematic review | Joseph E Alderman, Maria Charalambides, Gagandeep Sachdeva, Elinor Laws, Joanne Palmer, Elsa Lee, Vaishnavi Menon, Qasim Malik, Sonam Vadera, Melanie Calvert, Marzyeh Ghassemi, Melissa D McCradden, Johan Ordish, Bilal Mateen, Charlotte Summers, Jacqui Gat | |
| 2024-10-24 | [Articles] Strategies for integrating artificial intelligence into mammography screening programmes: a retrospective simulation analysis | Zacharias V Fisches, Michael Ball, Trasias Mukama, Vilim Štih, Nicholas R Payne, Sarah E Hickman, Fiona J Gilbert, Stefan Bunk, Christian Leibig | |
| 2024-10-24 | [Resource] Unleashing the strengths of unlabelled data in deep learning-assisted pan-cancer abdominal organ quantification: the FLARE22 challenge | Jun Ma, Yao Zhang, Song Gu, Cheng Ge, Shihao Mae, Adamo Young, Cheng Zhu, Xin Yang, Kangkang Meng, Ziyan Huang, Fan Zhang, Yuanke Pan, Shoujin Huang, Jiacheng Wang, Mingze Sun, Rongguo Zhang, Dengqiang Jia, Jae Won Choi, Natália Alves, Bram de Wilde, Greg | |
| 2024-10-24 | [Articles] COVID-19 testing and reporting behaviours in England across different sociodemographic groups: a population-based study using testing data and data from community prevalence surveillance surveys | Sumali Bajaj, Siyu Chen, Richard Creswell, Reshania Naidoo, Joseph L-H Tsui, Olumide Kolade, George Nicholson, Brieuc Lehmann, James A Hay, Moritz U G Kraemer, Ricardo Aguas, Christl A Donnelly, Tom Fowler, Susan Hopkins, Liberty Cantrell, Prabin Dahal, L | |
| 2024-10-24 | [Articles] Artificial intelligence-enabled electrocardiogram for mortality and cardiovascular risk estimation: a model development and validation study | Arunashis Sau, Libor Pastika, Ewa Sieliwonczyk, Konstantinos Patlatzoglou, Antônio H Ribeiro, Kathryn A McGurk, Boroumand Zeidaabadi, Henry Zhang, Krzysztof Macierzanka, Danilo Mandic, Ester Sabino, Luana Giatti, Sandhi M Barreto, Lidyane do Valle Camelo, | |
| 2024-10-24 | [Correspondence] Fairly evaluating the performance of normative models – Authors' reply | Ruiyang Ge, Yuetong Yu, Denghuang Zhan, Sophia Frangou | |
| 2024-10-24 | [Correspondence] Fairly evaluating the performance of normative models | Andre Marquand, Saige Rutherford, Richard Dinga | |
| 2024-10-24 | [Editorial] Lifting the veil on health datasets | The Lancet Digital Health | |
| 2024-10-24 | [Corrections] Correction to Lancet Digit Health 2024; published online Sept 17. https://doi.org/10.1016/S2589-7500(24)00143-2 | | |
| 2024-10-24 | [Comment] Combating medical misinformation and rebuilding trust in the USA | Clara E Tandar, John C Lin, Fatima Cody Stanford | |
| 2024-10-24 | [Viewpoint] Demographic reporting in biosignal datasets: a comprehensive analysis of the PhysioNet open access database | Sarah Jiang, Perisa Ashar, Md Mobashir Hasan Shandhi, Jessilyn Dunn | |
| 2024-10-24 | [Review] Mobile phone interventions to improve health outcomes among patients with chronic diseases: an umbrella review and evidence synthesis from 34 meta-analyses | Shufang Sun, Otto Simonsson, Stephen McGarvey, John Torous, Simon B Goldberg | |
| 2024-10-24 | [Review] Generative artificial intelligence and ethical considerations in health care: a scoping review and ethics checklist | Yilin Ning, Salinelat Teixayavong, Yuqing Shang, Julian Savulescu, Vaishaanth Nagaraj, Di Miao, Mayli Mertens, Daniel Shu Wei Ting, Jasmine Chiat Ling Ong, Mingxuan Liu, Jiuwen Cao, Michael Dunn, Roger Vaughan, Marcus Eng Hock Ong, Joseph Jao-Yiu Sung, Er | |
| 2024-09-26 | [Articles] Symptom trajectories in infancy for the prediction of subsequent wheeze and asthma in the BILD and PASTURE cohorts: a dynamic network analysis | Uri Nahum, Olga Gorlanova, Fabienne Decrue, Heide Oller, Edgar Delgado-Eckert, Andreas Böck, Sven Schulzke, Philipp Latzin, Bianca Schaub, Anne M Karvonen, Roger Lauener, Amandine Divaret-Chauveau, Sabina Illi, Caroline Roduit, Erika von Mutius, Urs Frey, | |
| 2024-09-26 | [Articles] Impact of the COVID-19 pandemic on health-care use among patients with cancer in England, UK: a comprehensive phase-by-phase time-series analysis across attendance types for 38 cancers | Yen Yi Tan, Wai Hoong Chang, Michail Katsoulis, Spiros Denaxas, Kayla C King, Murray P Cox, Charles Davie, Francois Balloux, Alvina G Lai | |
| 2024-09-26 | [Articles] Highly sensitive detection platform-based diagnosis of oesophageal squamous cell carcinoma in China: a multicentre, case–control, diagnostic study | Yu Wang, Shan Xing, Yi-Wei Xu, Qing-Xia Xu, Ming-Fang Ji, Yu-Hui Peng, Ya-Xian Wu, Meng Wu, Ning Xue, Biao Zhang, Shang-Hang Xie, Rui-Dan Zhu, Xin-Yuan Ou, Qi Huang, Bo-Yu Tian, Hui-Lan Li, Yu Jiang, Xiao-Bin Yao, Jian-Pei Li, Li Ling, Su-Mei Cao, Qian Zh | |
| 2024-09-26 | [Corrections] Correction to Lancet Digit Health 2024; 6: e755–66 | | |
| 2024-09-26 | [Articles] Deep learning assessment of senescence-associated nuclear morphologies in mammary tissue from healthy female donors to predict future risk of breast cancer: a retrospective cohort study | Indra Heckenbach, Mark Powell, Sophia Fuller, Jill Henry, Sam Rysdyk, Jenny Cui, Amanuel Abraha Teklu, Eric Verdin, Christopher Benz, Morten Scheibye-Knudsen | |
| 2024-09-26 | [Correspondence] In the era of digitalisation and biosignatures, is C-reactive protein still the one to beat? – Authors' reply | Myrsini Kaforou, Heather R Jackson, Taco W Kuijpers, Marien I de Jonge, Michael Levin | |
| 2024-09-26 | [Correspondence] In the era of digitalisation and biosignatures, is C-reactive protein still the one to beat? | Danilo Buonsenso | |
| 2024-09-26 | [Corrections] Correction to Lancet Digit Health 2024; 6: e281–90 | | |
| 2024-09-26 | [Series] Mitigating the risk of artificial intelligence bias in cardiovascular care | Ariana Mihan, Ambarish Pandey, Harriette GC Van Spall | |
| 2024-09-26 | [Articles] Diagnostic accuracy of a machine learning algorithm using point-of-care high-sensitivity cardiac troponin I for rapid rule-out of myocardial infarction: a retrospective study | Betül Toprak, Hugo Solleder, Eleonora Di Carluccio, Jaimi H Greenslade, William A Parsonage, Karen Schulz, Louise Cullen, Fred S Apple, Andreas Ziegler, Stefan Blankenberg, Artificial Intelligence in Suspected Myocardial Infarction Study (ARTEMIS) group | |
| 2024-09-26 | [Comment] Digital technology and new care pathways will redefine the cardiovascular workforce | Virimchi Pillutla, Adam B Landman, Jagmeet P Singh | |
| 2024-09-26 | [Series] Challenges for augmenting intelligence in cardiac imaging | Partho P Sengupta, Damini Dey, Rhodri H Davies, Nicolas Duchateau, Naveena Yanamala | |
| 2024-09-26 | [Series] The potential for large language models to transform cardiovascular medicine | Giorgio Quer, Eric J Topol | |
| 2024-09-26 | [Series] Digital tools in heart failure: addressing unmet needs | Peder L Myhre, Jasper Tromp, Wouter Ouwerkerk, Daniel S W Ting, Kieran F Docherty, C Michael Gibson, Carolyn S P Lam | |
| 2024-09-26 | [Editorial] Promises and challenges of digital tools in cardiovascular care | The Lancet Digital Health | |
| 2024-08-22 | [Articles] Evaluation of risk prediction models to select lung cancer screening participants in Europe: a prospective cohort consortium analysis | Xiaoshuang Feng, Patrick Goodley, Karine Alcala, Florence Guida, Rudolf Kaaks, Roel Vermeulen, George S Downward, Catalina Bonet, Sandra M Colorado-Yohar, Demetrius Albanes, Stephanie J Weinstein, Marcel Goldberg, Marie Zins, Caroline Relton, Arnulf Langh | |
| 2024-08-22 | [Viewpoint] A future role for health applications of large language models depends on regulators enforcing safety standards | Oscar Freyer, Isabella Catharina Wiest, Jakob Nikolas Kather, Stephen Gilbert | |
| 2024-08-22 | [Corrections] Correction to Lancet Digit Health 2024; 6: e605–13 | | |
| 2024-08-22 | [Comment] Reporting standards to support cost-effectiveness evaluations of AI-driven health care | Jamie Elvidge, Dalia Dawoud | |
| 2024-08-22 | [Editorial] Balancing AI innovation with patient safety | The Lancet Digital Health | |
| 2024-08-22 | [Articles] Physiological presentation and risk factors of long COVID in the UK using smartphones and wearable devices: a longitudinal, citizen science, case–control study | Callum Stewart, Yatharth Ranjan, Pauline Conde, Shaoxiong Sun, Yuezhou Zhang, Zulqarnain Rashid, Heet Sankesara, Nicholas Cummins, Petroula Laiou, Xi Bai, Richard J B Dobson, Amos A Folarin | |
| 2024-08-22 | [Series] Digital solutions in paediatric sepsis: current state, challenges, and opportunities to improve care around the world | L Nelson Sanchez-Pinto, María del Pilar Arias López, Halden Scott, Kristen Gibbons, Michael Moor, R Scott Watson, Matthew O Wiens, Luregn J Schlapbach, Tellen D Bennett | |
| 2024-08-22 | [Articles] Effect of wearable activity trackers on physical activity in children and adolescents: a systematic review and meta-analysis | Whitney W Au, Francesco Recchia, Daniel Y Fong, Stephen H S Wong, Derwin K C Chan, Catherine M Capio, Clare C W Yu, Sam W S Wong, Cindy H P Sit, Patrick Ip, Ya-Jun Chen, Walter R Thompson, Parco M Siu | |
| 2024-08-22 | [Articles] Computer-aided detection of tuberculosis from chest radiographs in a tuberculosis prevalence survey in South Africa: external validation and modelled impacts of commercially available artificial intelligence software | Zhi Zhen Qin, Martie Van der Walt, Sizulu Moyo, Farzana Ismail, Phaleng Maribe, Claudia M Denkinger, Sarah Zaidi, Rachael Barrett, Lindiwe Mvusi, Nkateko Mkhondo, Khangelani Zuma, Samuel Manda, Lisa Koeppel, Thuli Mthiyane, Jacob Creswell | |
| 2024-07-25 | [Viewpoint] Medical artificial intelligence for clinicians: the lost cognitive perspective | Lana Tikhomirov, Carolyn Semmler, Melissa McCradden, Rachel Searston, Marzyeh Ghassemi, Lauren Oakden-Rayner | |
| 2024-07-25 | [Articles] Human mobility patterns in Brazil to inform sampling sites for early pathogen detection and routes of spread: a network modelling and validation study | Juliane F Oliveira, Andrêza L Alencar, Maria Célia L S Cunha, Adriano O Vasconcelos, Gerson G Cunha, Ray B Miranda, Fábio M H S Filho, Corbiniano Silva, Emanuele Gustani-Buss, Ricardo Khouri, Thiago Cerqueira-Silva, Luiz Landau, Manoel Barral-Netto, Pablo | |
| 2024-07-25 | [Articles] The diagnostic and triage accuracy of the GPT-3 artificial intelligence model: an observational study | David M Levine, Rudraksh Tuwani, Benjamin Kompa, Amita Varma, Samuel G Finlayson, Ateev Mehrotra, Andrew Beam | |
| 2024-07-25 | [Corrections] Correction to Lancet Digit Health 2024; 6: e562–69 | | |
| 2024-07-25 | [Articles] Feasibility of wearable sensor signals and self-reported symptoms to prompt at-home testing for acute respiratory viruses in the USA (DETECT-AHEAD): a decentralised, randomised controlled trial | Giorgio Quer, Erin Coughlin, Jorge Villacian, Felipe Delgado, Katherine Harris, John Verrant, Matteo Gadaleta, Ting-Yang Hung, Janna Ter Meer, Jennifer M Radin, Edward Ramos, Monique Adams, Lomi Kim, Jason W Chien, Katie Baca-Motes, Jay A Pandit, Dmitri T | |
| 2024-07-25 | [Comment] Evaluation and communication of pandemic scenarios | Philip Gerlee, Henrik Thorén, Anna Saxne Jöud, Torbjörn Lundh, Armin Spreco, Anders Nordlund, Thomas Brezicka, Tom Britton, Magnus Kjellberg, Henrik Källberg, Anders Tegnell, Lisa Brouwers, Toomas Timpka | |
| 2024-07-25 | [Comment] Migration background, skin colour, gender, and infectious disease presentation in clinical vignettes | Yael Lohse, Katharina Last, Dogus Darici, Sören L Becker, Cihan Papan | |
| 2024-07-25 | [Comment] Remote illness detection faces a trust barrier | Benjamin L Smarr | |
| 2024-07-25 | [Editorial] Pathology in the era of generative AI | The Lancet Digital Health | |
| 2024-07-25 | [Viewpoint] ChatGPT for digital pathology research | Mohamed Omar, Varun Ullanat, Massimo Loda, Luigi Marchionni, Renato Umeton | |
| 2024-07-25 | [Articles] A prognostic and predictive computational pathology immune signature for ductal carcinoma in situ: retrospective results from a cohort within the UK/ANZ DCIS trial | Haojia Li, Arpit Aggarwal, Paula Toro, Pingfu Fu, Sunil S Badve, Jack Cuzick, Anant Madabhushi, Mangesh A Thorat | |
| 2024-07-25 | [Articles] A deep learning-based model to estimate pulmonary function from chest x-rays: multi-institutional model development and validation study in Japan | Daiju Ueda, Toshimasa Matsumoto, Akira Yamamoto, Shannon L Walston, Yasuhito Mitsuyama, Hirotaka Takita, Kazuhisa Asai, Tetsuya Watanabe, Koji Abo, Tatsuo Kimura, Shinya Fukumoto, Toshio Watanabe, Tohru Takeshita, Yukio Miki | |
| 2024-07-25 | [Comment] The next generation of evidence synthesis for diagnostic accuracy studies in artificial intelligence | Ahmad Guni, Penny Whiting, Ara Darzi, Hutan Ashrafian | |
| 2024-06-20 | [Comment] Virtual pregnancies: predicting and preventing pregnancy complications with digital twins | Adrienne K Scott, Michelle L Oyen | |
| 2024-06-20 | [Articles] The efficacy of automated feedback after internet-based depression screening (DISCOVER): an observer-masked, three-armed, randomised controlled trial in Germany | Sebastian Kohlmann, Franziska Sikorski, Hans-Helmut König, Marion Schütt, Antonia Zapf, Bernd Löwe | |
| 2024-06-20 | [Health Policy] Sharing brain imaging data in the Open Science era: how and why? | Kathrin Giehl, Henk-Jan Mutsaerts, Kristien Aarts, Frederik Barkhof, Svenja Caspers, Gaël Chetelat, Marie-Elisabeth Colin, Emrah Düzel, Giovanni B Frisoni, M Arfan Ikram, Jorge Jovicich, Silvia Morbelli, Wolfgang Oertel, Christian Paret, Daniela Perani, P | |
| 2024-06-20 | [Editorial] The lofty heights of digital health | The Lancet Digital Health | |
| 2024-06-20 | [Articles] 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 | |
| 2024-06-20 | [Viewpoint] Overcoming colonialism in pathogen genomics | Senjuti Saha, Yogesh Hooda, Gathsaurie Neelika Malavige, Muhammad Imran Nisar | |
| 2024-06-20 | [Articles] Simple meal announcements and pramlintide delivery versus carbohydrate counting in type 1 diabetes with automated fast-acting insulin aspart delivery: a randomised crossover trial in Montreal, Canada | Elisa Cohen, Michael A Tsoukas, Laurent Legault, Michael Vallis, Julia E Von Oettingen, Emilie Palisaitis, Madison Odabassian, Jean-François Yale, Natasha Garfield, Nikita Gouchie-Provencher, Joanna Rutkowski, Adnan Jafar, Milad Ghanbari, Ahmad Haidar | |
| 2024-06-20 | [Articles] Automated cooling tower detection through deep learning for Legionnaires’ disease outbreak investigations: a model development and validation study | Karen K Wong, Thaddeus Segura, Gunnar Mein, Jia Lu, Elizabeth J Hannapel, Jasen M Kunz, Troy Ritter, Jessica C Smith, Alberto Todeschini, Fred Nugen, Chris Edens | |
| 2024-06-20 | [Articles] Proteomic prediction of diverse incident diseases: a machine learning-guided biomarker discovery study using data from a prospective cohort study | Julia Carrasco-Zanini, Maik Pietzner, Mine Koprulu, Eleanor Wheeler, Nicola D Kerrison, Nicholas J Wareham, Claudia Langenberg | |
| 2024-06-20 | [Articles] External validation of the myocardial-ischaemic-injury-index machine learning algorithm for the early diagnosis of myocardial infarction: a multicentre cohort study | Pedro Lopez-Ayala, Jasper Boeddinghaus, Thomas Nestelberger, Luca Koechlin, Tobias Zimmermann, Paolo Bima, Jonas Glaeser, Carlos C Spagnuolo, Arnaud Champetier, Oscar Miro, Francisco Javier Martin-Sanchez, Dagmar I Keller, Michael Christ, Karin Wildi, Tob | |
| 2024-06-20 | [Comment] Advancing non-ST-elevation myocardial infarction risk assessment with artificial intelligence-based algorithms | Sorayya Malek, Sazzli Kasim | |
| 2024-06-20 | [Corrections] Correction to Lancet Digit Health 2024; 6: e33–43 | | |
| 2024-06-20 | [Corrections] Correction to Lancet Digit Health 2024; 6: e12–22 | | |
| 2024-06-20 | [Correspondence] A response to evaluating national data flows | Grace B Hatton, Christie Brooks | |
| 2024-06-20 | [Comment] From text to treatment: the crucial role of validation for generative large language models in health care | Anne de Hond, Tuur Leeuwenberg, Richard Bartels, Marieke van Buchem, Ilse Kant, Karel GM Moons, Maarten van Smeden | |
| 2024-06-20 | [Articles] Deep learning models for thyroid nodules diagnosis of fine-needle aspiration biopsy: a retrospective, prospective, multicentre study in China | Jue Wang, Nafen Zheng, Huan Wan, Qinyue Yao, Shijun Jia, Xin Zhang, Sha Fu, Jingliang Ruan, Gui He, Xulin Chen, Suiping Li, Rui Chen, Boan Lai, Jin Wang, Qingping Jiang, Nengtai Ouyang, Yin Zhang | |
| 2024-06-20 | [Comment] Artificial intelligence in medicine and the pursuit of environmentally responsible science | Melany Gaetani, Mjaye Mazwi, Hadrian Balaci, Robert Greer, Christina Maratta | |
| 2024-05-23 | [Articles] Effectiveness of proactive video therapy for problematic alcohol use on treatment initiation, compliance, and alcohol intake: a randomised controlled trial in Denmark | Kia Kejlskov Egan, Ulrik Becker, Sanne Pagh M⊘ller, Veronica Pisinger, Janne Schurmann Tolstrup | |
| 2024-05-23 | [Articles] Multi-cancer risk stratification based on national health data: a retrospective modelling and validation study | Alexander W Jung, Peter C Holm, Kumar Gaurav, Jessica Xin Hjaltelin, Davide Placido, Laust Hvas Mortensen, Ewan Birney, S⊘ren Brunak, Moritz Gerstung | |
| 2024-05-23 | [Articles] Prediction of diagnosis and diastolic filling pressure by AI-enhanced cardiac MRI: a modelling study of hospital data | David Hermann Lehmann, Bruna Gomes, Niklas Vetter, Olivia Braun, Ali Amr, Thomas Hilbel, Jens Müller, Ulrich Köthe, Christoph Reich, Elham Kayvanpour, Farbod Sedaghat-Hamedani, Manuela Meder, Jan Haas, Euan Ashley, Wolfgang Rottbauer, Dominik Felbel, Raff | |
| 2024-05-23 | [Comment] Africa CDC spearheading the strengthening of health information exchange in Africa | Bekure Tamirat, Festo Mazuguni, Moses Bamutura, Kyeng Mercy, Kofi M Nyarko, Binyam Tilahun, Kokou N Alinon, Yenew K Tebeje | |
| 2024-05-23 | [Articles] Predicting type 1 diabetes in children using electronic health records in primary care in the UK: development and validation of a machine-learning algorithm | Rhian Daniel, Hywel Jones, John W Gregory, Ambika Shetty, Nick Francis, Shantini Paranjothy, Julia Townson | |
| 2024-05-23 | [Comment] Harnessing population-wide health data to predict cancer risk | Mattias Johansson, Hilary A Robbins | |
| 2024-05-23 | [Comment] Challenges of detecting childhood diabetes in primary care | Katherine G Young, John M Dennis, Nicholas J M Thomas | |
| 2024-05-23 | [Editorial] Machine learning to predict type 1 diabetes in children | The Lancet Digital Health | |
| 2024-05-23 | [Corrections] Correction to Lancet Digit Health 2022; 4: e884–92 | | |
| 2024-05-23 | [Comment] The effect of using a large language model to respond to patient messages | Shan Chen, Marco Guevara, Shalini Moningi, Frank Hoebers, Hesham Elhalawani, Benjamin H Kann, Fallon E Chipidza, Jonathan Leeman, Hugo J W L Aerts, Timothy Miller, Guergana K Savova, Jack Gallifant, Leo A Celi, Raymond H Mak, Maryam Lustberg, Majid Afshar | |
| 2024-05-23 | [Viewpoint] Ethical and regulatory challenges of large language models in medicine | Jasmine Chiat Ling Ong, Shelley Yin-Hsi Chang, Wasswa William, Atul J Butte, Nigam H Shah, Lita Sui Tjien Chew, Nan Liu, Finale Doshi-Velez, Wei Lu, Julian Savulescu, Daniel Shu Wei Ting | |
| 2024-04-25 | [Health Policy] Data challenges for international health emergencies: lessons learned from ten international COVID-19 driver projects | Sally Boylan, Catherine Arsenault, Marcos Barreto, Fernando A Bozza, Adalton Fonseca, Eoghan Forde, Lauren Hookham, Georgina S Humphreys, Maria Yury Ichihara, Kirsty Le Doare, Xiao Fan Liu, Edel McNamara, Jean Claude Mugunga, Juliane F Oliveira, Joseph Ou | |
| 2024-04-25 | [Review] Randomised controlled trials evaluating artificial intelligence in clinical practice: a scoping review | Ryan Han, Julián N Acosta, Zahra Shakeri, John P A Ioannidis, Eric J Topol, Pranav Rajpurkar | |
| 2024-04-25 | [Articles] Effectiveness of a universal, school-based, online programme for the prevention of anxiety, depression, and substance misuse among adolescents in Australia: 72-month outcomes from a cluster-randomised controlled trial | Maree Teesson, Louise Birrell, Tim Slade, Louise R Mewton, Nick Olsen, Leanne Hides, Nyanda McBride, Mary Lou Chatterton, Steve Allsop, Ainsley Furneaux-Bate, Zachary Bryant, Rhiannon Ellem, Megan J Baker, Annalise Healy, Jennifer Debenham, Julia Boyle, M | |
| 2024-04-25 | [Articles] AI-assisted capsule endoscopy reading in suspected small bowel bleeding: a multicentre prospective study | Cristiano Spada, Stefania Piccirelli, Cesare Hassan, Clarissa Ferrari, Ervin Toth, Begoña González-Suárez, Martin Keuchel, Marc McAlindon, Ádám Finta, András Rosztóczy, Xavier Dray, Daniele Salvi, Maria Elena Riccioni, Robert Benamouzig, Amit Chattree, Ad | |
| 2024-04-25 | [Articles] Machine learning to understand risks for severe COVID-19 outcomes: a retrospective cohort study of immune-mediated inflammatory diseases, immunomodulatory medications, and comorbidities in a large US health-care system | Qi Wei, Philip J Mease, Michael Chiorean, Lulu Iles-Shih, Wanessa F Matos, Andrew Baumgartner, Sevda Molani, Yeon Mi Hwang, Basazin Belhu, Alexandra Ralevski, Jennifer Hadlock | |
| 2024-04-25 | [Articles] Evaluation of a machine-learning model based on laboratory parameters for the prediction of acute leukaemia subtypes: a multicentre model development and validation study in France | Vincent Alcazer, Grégoire Le Meur, Marie Roccon, Sabrina Barriere, Baptiste Le Calvez, Bouchra Badaoui, Agathe Spaeth, Olivier Kosmider, Nicolas Freynet, Marion Eveillard, Carolyne Croizier, Simon Chevalier, Pierre Sujobert | |
| 2024-04-25 | [Correspondence] Large language model integration in Philippine ophthalmology: early challenges and steps forward | Robyn Gayle K Dychiao, Isabelle Rose I Alberto, Jose Carlo M Artiaga, Recivall P Salongcay, Leo Anthony Celi | |
| 2024-04-25 | [Comment] Responsible and evidence-based AI: 5 years on | Alastair K Denniston, Xiaoxuan Liu | |
| 2024-04-25 | [Comment] Measuring fairness preferences is important for artificial intelligence in health care | Anatol-Fiete Näher, Ivar Krumpal, Esther-Maria Antão, Erika Ong, Marina Rojo, Fred Kaggwa, Felix Balzer, Leo Anthony Celi, Katarina Braune, Lothar H Wieler, Louis Agha-Mir-Salim | |
| 2024-04-25 | [Comment] Advances in decision support for diagnosis and early management of acute leukaemia | Amin T Turki, Merlin Engelke, Marta Sobas | |
| 2024-04-25 | [Editorial] 5 years of The Lancet Digital Health | Rupa Sarkar, Diana Samuel, Lucy Dunbar, Gustavo Monnerat | |
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