Commentary on “The integration and implications of artificial intelligence in forensic science”
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Tynan P. The integration and implications of artificial intelligence in forensic science. Forensic Sci Med Pathol. 2024. https://doi.org/10.1007/s12024-023-00772-6.
Li D, Zhang J, Guo W, et al. A diagnostic strategy for pulmonary fat embolism based on routine H&E staining using computational pathology. Int J Legal Med. 2023. https://doi.org/10.1007/s00414-023-03136-5.
Casali M, Malchiodi D, Spada C, et al. A pilot study for investigating the feasibility of supervised machine learning approaches for the classification of pedestrians struck by vehicles. J Forensic Leg Med. 2021;84:102256. https://doi.org/10.1016/j.jflm.2021.102256.
Shelmerdine SC, Arthurs OJ, Denniston A, Sebire NJ. Review of study reporting guidelines for clinical studies using artificial intelligence in healthcare. BMJ Health Care Inform. 2021;28(1):e100385. https://doi.org/10.1136/bmjhci-2021-100385.