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Large language models (LLMs) constitute a breakthrough state-of-the-art Artificial Intelligence technology which is rapidly evolving and promises to aid in medical diagnosis.
The discovery of the pathophysiological aspects of atherosclerosis—a review
Hanke, H., Lenz, C., & Finking, G. (2001) · 2001
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A survey of named entity recognition and classification
Nadeau, D., & Sekine, S. (2007) · 2007
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Assessment methods in medical education
Norcini, J. J., & McKinley, D. W. (2007) · 2007
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Assessment in undergraduate medical education: a review of course exams
Vanderbilt, A., Feldman, M., & Wood, I. (2013) · 2013
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Medical image classification with convolutional neural network
Li, Q., Cai, W., Wang, X., Zhou, Y., Feng, D. D., & Chen, M. (2014) · 2014
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Assessment in medical education; what are we trying to achieve?
Ferris, H., & O’Flynn, D. (2015) · 2015
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A critical review for developing accurate and dynamic predictive models using machine learning methods in medicine and health care
Alanazi, H. O., Abdullah, A. H., & Qureshi, K. N. (2017) · 2017
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Attention is all you need
Vaswani, A., Shazeer, N., Parmar, N., Uszkoreit, J., Jones, L., Gomez, A. N., Kaiser, Ł., & Polosukhin, I. (2017) · 2017
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Bert: Pre-training of deep bidirectional transformers for language understanding
Devlin, J., Chang, M.-W., Lee, K., & Toutanova, K. (2018) · 2018
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An evaluative study of objective structured clinical examination (osce): students and examiners perspectives
Majumder, M. A. A., Kumar, A., Krishnamurthy, K., Ojeh, N., Adams, O. P., & Sa, B. (2019) · 2019
Cited alongside, same era.
Sciner: extracting named entities from scientific literature
Hong, Z., Tchoua, R., Chard, K., & Foster, I. (2020) · 2020
Cited alongside, same era.
Domain-specific knowledge graphs: A survey
Abu-Salih, B. (2021) · 2021
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Sit: Self-supervised vision transformer
Atito, S., Awais, M., & Kittler, J. (2021) · 2021
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A survey on knowledge graphs: Representation, acquisition, and applications
Ji, S., Pan, S., Cambria, E., Marttinen, P., & Philip, S. Y. (2021) · 2021
Cited alongside, same era.
The use of artificial intelligence systems in diagnosis of pneumonia via signs and symptoms: A systematic review
Stokes, K., Castaldo, R., Federici, C., Pagliara, S., Maccaro, A., Cappuccio, F., Fico, G., Salvatore, M., Franzese, M., & Pecchia, L. (2022) · 2022
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Zhai, X., Kolesnikov, A., Houlsby, N., & Beyer, L. (2022) · 2022
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Advances in medical image analysis with vision transformers: A comprehensive review
Azad, R., Kazerouni, A., Heidari, M., Aghdam, E. K., Molaei, A., Jia, Y., Jose, A., Roy, R., & Merhof, D. (2023) · 2023
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Systematic review on the cost and cost-effectiveness of mhealth interventions supporting women during pregnancy
Carrandi, A., Hu, Y., Karger, S., Eddy, K. E., Vogel, J. P., Harrison, C. L., & Callander, E. (2023) · 2023
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Yuan, L., Chen, Y., Wang, T., Yu, W., Shi, Y., Jiang, Z.-H., Tay, F. E., Feng, J., & Yan, S. (2021) · 2021
Cited alongside, same era.
Transformers in vision: A survey
Khan, S., Naseer, M., Hayat, M., Zamir, S. W., Khan, F. S., & Shah, M. (2022) · 2022
Cited alongside, same era.
Explainable, trustworthy, and ethical machine learning for healthcare: A survey
Rasheed, K., Qayyum, A., Ghaly, M., Al-Fuqaha, A., Razi, A., & Qadir, J. (2022) · 2022
Cited alongside, same era.
Fine-tuning image transformers using learnable memory
Sandler, M., Zhmoginov, A., Vladymyrov, M., & Jackson, A. (2022) · 2022
Cited alongside, same era.
OpenAI (2023) · 2023
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Tailored explainability in medical artificial intelligence-empowered applications: Personalisation via the technology acceptance model
Panagoulias, D. P., Virvou, M., & Tsihrintzis, G. A. (2023) · 2023
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The internet pathology laboratory for medical education
The Internet Pathology Laboratory for Medical Education () · 2023
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Augmenting large language models with rules for enhanced domain-specific interactions: The case of medical diagnosis
Panagoulias, D. P., Virvou, M., & Tsihrintzis, G. A. (2024) · 2024
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