LondonAJ.Artificial intelligence in medicine: overcoming or recapitulating structural challenges to improving patient care?Cell Rep Med2022; 3: 100622. DOI: 10.1016/j.xcrm.2022.100622.
3.
SeneviratneMGShahNHChuL. Bridging the implementation gap of machine learning in healthcareBMJ Innovations2020; 6: 45–47.
4.
HassanAMRajeshAAsaadMNelsonJACoertJHMehraraBJ, et al. Artificial intelligence and machine learning in prediction of surgical complications: current state, applications, and implications. Am Surg2023; 89: 25–30. DOI: 10.1177/00031348221101488.
5.
AlowaisSAAlghamdiSSAlsuhebanyNAlqahtaniTAlshayaAIAlmoharebSN, et al. Revolutionizing healthcare: the role of artificial intelligence in clinical practice. BMC Med Educ2023; 23(1): 689. DOI: 10.1186/s12909-023-04698-z.
6.
ShemtobLBeaneyTNortonJMajeedA.How can we improve the quality of data collected in general practice?BMJ2023; 380: e071950. DOI: 10.1136/bmj-2022-071950.
7.
CroskerryPNormanG.Overconfidence in clinical decision making. Am J Med2023; 136: 13–16. DOI: 10.1016/j.amjmed.2022.07.034.
8.
RichensJGLeeCMJohriS.Improving the accuracy of medical diagnosis with causal machine learning. Nat Commun2020; 11: 3923. DOI: 10.1038/s41467-020-17419-7.
LiEClarkeJAshrafianHDarziANevesAL.The impact of electronic health record interoperability on safety and quality of care in high-income countries: systematic review. J Med Internet Res2022; 24(9): e38144. DOI: 10.2196/38144.
