ArticleForensic science, medicine, and pathology2024
The integration and implications of artificial intelligence in forensic science.
Article in Forensic science, medicine, and pathology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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Who cites it
7 citing papers in PubMed.
- Generative artificial intelligence in forensic medicine: a pilot study on AI-simulated medico-legal reports in healthcare liability cases.International journal of legal medicine · 2026Article
- The impact of forensic experience on postmortem CT interpretation in firearm deaths: an interobserver reliability study.La Radiologia medica · 2026Observational
- AI-Assisted Diagnostic Evaluation of IHC in Forensic Pathology: A Comparative Study with Human Scoring.Diagnostics (Basel, Switzerland) · 2025Article
- An overview of Metaverse in healthcare. Potential application in forensic and legal medicine.Forensic science, medicine, and pathology · 2025Review
- From Description to Diagnostics: Assessing AI's Capabilities in Forensic Gunshot Wound Classification.Diagnostics (Basel, Switzerland) · 2025Article
- Determination of sexual dimorphism with CBCT images of the frontal sinus using a predictive formula and an artificial neural network.Journal of applied oral science : revista FOB · 2025Article
- A critical review of "Artificial intelligence in the practice of forensic medicine: a scoping review".International journal of legal medicine · 2024Article
Corrections and comments
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Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This commentary explores the integration of artificial intelligence (AI) in forensic science and its potential implications. The applications of AI in forensic disciplines such as medicine, forensic anthropology, digital forensics, and taphonomy have enhanced the accuracy and efficiency of identification processes and the analysis of digital evidence. However, this rapid advancement prompts critical considerations in privacy, data protection, bias and fairness, and the accuracy and reliability of AI systems. The inherent challenges of the "black box" nature of AI algorithms call for transparency and accountability to maintain trust and uphold the integrity of forensic investigations. Ethical use, legal compliance, interdisciplinary collaboration, education, data integrity, standardization, human oversight, and societal impact, along with sustainability are identified as pivotal areas requiring urgent attention. The discussion underscores the need for rigorous scrutiny, standardized operating procedures, and proactive dialogue to ensure the responsible advancement of AI in forensic science.
Indexed as
Identifiers
38175310What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.