Kan Sun, Diaozhu Lin, Mian Li, Yiming Mu, Jiajun Zhao, Chao Liu, Yufang Bi, Lulu Chen, Lixin Shi, Qiang Li, Tao Yang, Qin Wan, Shengli Wu, Guixia Wang, Zuojie Luo, Yingfen Qin, Xulei Tang, Gang Chen, Yanan Huo, Zhengnan Gao, Qing Su, Zhen Ye, Ruying Hu, Youmin Wang, Guijun Qin, Huacong Deng, Xuefeng Yu, Feixia Shen, Li Chen, Weiqing Wang, Guang Ning, Li Yan
Association of education levels with the risk of hypertension and hypertension control: a nationwide cohort study in Chinese adults
Journal of epidemiology and community health
success deeplearning algorithms analyzing complex structured unstructured multidimensional data caused exponential increase amount research devoted applications artificial intelligence ai medicine past decade public release large language models like chatgpt past year generated unprecedented storm excitement rumors machine intelligence finally reaching even surpassing human capability detecting meaningful signals complex multivariate data enthusiasm however met equal degree skepticism fear social legal moral implications powerful technology relatively little safeguards regulations development question remains medicine harness power ai improve patient outcomes increasing diagnostic accuracy treatment precision provided medical professionals military medicine given unique mission resource constraintscan benefit immensely technology however reaping benefits hinges ability rising generations military medical professionals understand ai algorithms applications additionally strongly consider working adjunct decisionmaker view colleague access harness relevant information opposed something feared ideas expressed commentary formulated military medical student twomonth research elective working multidisciplinary team computer scientists clinicians national library medicine advancing state art ai medicine motivation incorporate ai military health system provided including examples applications military medicine rationale given inclusion ai education starting medical school well prudent implementation algorithms clinical workflow graduate medical education finally barriers implementation addressed along potential solutions end state rising military physicians technical experts ai rather understand leverage rapidly evolving capabilities prepare future ai significant role clinical care overall goal develop trained clinicians leverage technologies improve military health system