ReviewCureus2022
Artificial Intelligence in Forensic Medicine and Toxicology: The Future of Forensic Medicine.
Review in Cureus, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
6 citing papers in PubMed.
- Interpol review of forensic toxicology, 2023-2025.Forensic science international. Synergy · 2026Review
- Extraneural Soft Tissue Perineurioma of the Oral Cavity: A Rare Case with Medico-Legal Implications and Literature Review.Life (Basel, Switzerland) · 2025Review
- ChatGPT in forensic sciences: a new Pandora's box with advantages and challenges to pay attention.Forensic sciences research · 2023Article
- Artificial intelligence in forensic medicine and forensic dentistry.The Journal of forensic odonto-stomatology · 2023Review
- Advancing Patient Care: How Artificial Intelligence Is Transforming Healthcare.Journal of personalized medicine · 2023Review
- Advances in machine learning-based bacteria analysis for forensic identification: identity, ethnicity, and site of occurrence.Frontiers in microbiology · 2023Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The predominance of artificial intelligence (AI) will be the next Industrial Revolution. All the fields of industry will be reshaped with AI. Forensic medicine and toxicology is an important branch for investigations of crimes and this branch has tremendous scope of development with the help of AI. Any science or process cannot stay away long from newer techniques. The traditional way of doing an autopsy and framing an opinion has a lot of limitations and these limitations can be overcome with AI. Various procedures of forensic medicine like analysis of toxins, collection of the various samples of medicolegal importance from body cavity, detection of pathological changes in various organs of the body, detection of various stains on the body, detection of a weapon used in crime, time since death calculations, etc. are the areas where AI will play a key role in framing the various opinions of medicolegal importance. AI can also be integrated into existing testing and analysis processes to make the whole procedure rapid and more accurate. In the future, AI might become a key part of forensic medicine and toxicology practice.
Indexed as
Identifiers
What 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.