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The Lancet Digital Health
| 1. | [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 | |
| 2. | [Corrections] Correction to Lancet Digit Health 2024; 6: e281–90 | | |
| 3. | [Series] Mitigating the risk of artificial intelligence bias in cardiovascular care | Ariana Mihan, Ambarish Pandey, Harriette GC Van Spall | |
| 4. | [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 | |
| 5. | [Comment] Digital technology and new care pathways will redefine the cardiovascular workforce | Virimchi Pillutla, Adam B Landman, Jagmeet P Singh | |
| 6. | [Series] Challenges for augmenting intelligence in cardiac imaging | Partho P Sengupta, Damini Dey, Rhodri H Davies, Nicolas Duchateau, Naveena Yanamala | |
| 7. | [Series] The potential for large language models to transform cardiovascular medicine | Giorgio Quer, Eric J Topol | |
| 8. | [Series] Digital tools in heart failure: addressing unmet needs | Peder L Myhre, Jasper Tromp, Wouter Ouwerkerk, Daniel T S Wei, Kieran F Docherty, C Michael Gibson, Carolyn S P Lam | |
| 9. | [Editorial] Promises and challenges of digital tools in cardiovascular care | The Lancet Digital Health | |
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近期历史最近 100 条记录
| 2024-09-18 | [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 | |
| 2024-09-04 | [Corrections] Correction to Lancet Digit Health 2024; 6: e281–90 | | |
| 2024-08-30 | [Series] Mitigating the risk of artificial intelligence bias in cardiovascular care | Ariana Mihan, Ambarish Pandey, Harriette GC Van Spall | |
| 2024-08-30 | [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 | |
| 2024-08-30 | [Comment] Digital technology and new care pathways will redefine the cardiovascular workforce | Virimchi Pillutla, Adam B Landman, Jagmeet P Singh | |
| 2024-08-30 | [Series] Challenges for augmenting intelligence in cardiac imaging | Partho P Sengupta, Damini Dey, Rhodri H Davies, Nicolas Duchateau, Naveena Yanamala | |
| 2024-08-30 | [Series] The potential for large language models to transform cardiovascular medicine | Giorgio Quer, Eric J Topol | |
| 2024-08-30 | [Series] Digital tools in heart failure: addressing unmet needs | Peder L Myhre, Jasper Tromp, Wouter Ouwerkerk, Daniel T S Wei, Kieran F Docherty, C Michael Gibson, Carolyn S P Lam | |
| 2024-08-30 | [Editorial] Promises and challenges of digital tools in cardiovascular care | The Lancet Digital Health | |
| 2024-08-13 | [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 | |
| 2024-08-13 | [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 | |
| 2024-08-07 | [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 | |
| 2024-07-20 | [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 | |
| 2024-07-10 | [Viewpoint] ChatGPT for digital pathology research | Mohamed Omar, Varun Ullanat, Massimo Loda, Luigi Marchionni, Renato Umeton | |
| 2024-07-10 | [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 | |
| 2024-07-09 | [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 | |
| 2024-06-26 | [Comment] The next generation of evidence synthesis for diagnostic accuracy studies in artificial intelligence | Ahmad Guni, Penny Whiting, Ara Darzi, Hutan Ashrafian | |
| 2024-06-07 | [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 | |
| 2024-05-30 | [Comment] Artificial intelligence in medicine and the pursuit of environmentally responsible science | Melany Gaetani, Mjaye Mazwi, Hadrian Balaci, Robert Greer, Christina Maratta | |
| 2024-04-26 | [Corrections] Correction to Lancet Digit Health 2022; 4: e884–92 | | |
| 2024-04-25 | [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 | |
| 2024-04-24 | [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 | |
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