Generative Pre-trained Transformer 4 (GPT-4): The Future of Artificial Intelligence in Medical Laboratory Sciences Assessment

Authors

  • Dr Pakiso Moses Makhoahle

DOI:

https://doi.org/10.4314/ajbr.v26i3.1

References

Brown, T. B., Mann, B., Ryder, N., Subbiah, M., Kaplan, J., Dhariwal, P., ... & Amodei, D. Language models are unsupervised multitask learners. Nature 2020, 587(7835), 630-634.

Mikolov, T., Sutskever, I., Chen, K., Corrado, G. S., & Dean, J. Distributed representations of words and phrases and their compositionality. Advances in Neural Information Processing Systems 2013, 26.

Mittelstadt, B. D., Allo, P., Taddeo, M., Wachter, S., & Floridi, L. The ethics of algorithms: Mapping the debate. Big Data & Society 2016, 3(2), 2053951716679679.

Rajkomar, A., Dean, J., & Kohane, I. Machine learning in medicine. New England Journal of Medicine 2019, 380(14), 1347-1358.

Smith, L. N., & Haigh, T. GPT-4: Unleashing AI's Potential in Medical Imaging. Journal of Medical Imaging and Radiation Sciences 2021, 52(3), 354-359.

Topol, E. J. High-performance medicine: the convergence of human and artificial intelligence. Nature Medicine 2019, 25(1), 44-56.

Wu, H., Miller, T., Gao, J., & Firat, O. GPT-4: Clinical Application of Conversational AI in Patient Communication. Healthcare Informatics Research 2021, 27(3), 232-237.

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Published

2023-09-30

Issue

Section

Letter to the Editor

How to Cite

Generative Pre-trained Transformer 4 (GPT-4): The Future of Artificial Intelligence in Medical Laboratory Sciences Assessment. (2023). African Journal of Biomedical Research, 26(3), 303-304. https://doi.org/10.4314/ajbr.v26i3.1

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