YANGI TEXNOLOGIYA AI BILAN KEMALLARNI YAXSHIYORLASH
Kalit so‘zlar:
Patient care, healthcare technology, health informatics, telemedicine, electronic health records (ehr), artificial intelligence (ai) in healthcare, remote monitorin,Abstrak
Sog'liqni saqlash texnologiyasidagi yutuqlar bemorni parvarish qilish usulini o'zgartirmoqda
yetkazib berish, natijalarni, samaradorlikni va umumiy bemor tajribasini yaxshilash. Sun'iydan
telemeditsina, taqiladigan qurilmalar va elektron sog'liqni saqlash yozuvlari uchun razvedka va mashinani o'rganish;
ushbu innovatsiyalar erta tashxis qo'yish, shaxsiy davolash va doimiy monitoringni amalga oshirish imkonini beradi.
References
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Esteva, A., Kuprel, B., Novoa, R. A., Ko, J., Swetter, S. M., Blau, H. M., & Thrun, S. (2017). Dermatologist-level classification of skin cancer with deep neural networks. Nature, 542(7639), 115–118. https://doi.org/10.1038/nature21056
Rajkomar, A., Oren, E., Chen, K., Dai, A. M., Hajaj, N., Hardt, M., ... & Dean, J. (2018). Scalable and accurate deep learning with electronic health records. npj Digital Medicine, 1, 18. https://doi.org/10.1038/s41746-018-0029-1
Topol, E. J. (2019). Deep medicine: How artificial intelligence can make healthcare human again. Basic Books.
Blease, C., Kaptchuk, T. J., Bernstein, M. H., Mandl, K. D., Halamka, J. D., & DesRoches, C. M. (2019). Artificial intelligence and the future of primary care: Exploratory qualitative study of UK general practitioners’ views. Journal of Medical Internet Research, 21(3), e12802. https://doi.org/10.2196/12802
Obermeyer, Z., Powers, B., Vogeli, C., & Mullainathan, S. (2019). Dissecting racial bias in an algorithm used to manage the health of populations. Science, 366(6464), 447–453. https://doi.org/10.1126/science.aax2342
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