Forensic Sci., Volume 5, Issue 4 (December 2025) – 13 articles

Background/Objectives: The Commission d’examen des troubles mentaux (CETM), under Quebec’s Tribunal Administratif du Québec, reviews individuals found not criminally responsible on account of mental disorder (NCRMD). These hearings seek to balance public safety with reintegration, guided largely by treatment team recommendations. Despite the CETM’s central role in forensic psychiatry, limited empirical data exist on how its decisions align with clinical advice and which dynamic risk factors influence outcomes. This study aimed to (1) profile the CETM’s 2023 caseload, (2) evaluate concordance between CETM dispositions and treatment team recommendations, and (3) examine clinical, social, and legal factors associated with decision-making. Methods: We conducted a retrospective review of 1721 judgments issued by the CETM in 2023, retrieved from the publicly accessible Société Québécoise d’information juridique (SOQUIJ) database. Eligible cases included annual NCRMD review hearings, excluding trial fitness assessments and repeated hearings within the same year. A structured coding grid documented sociodemographic, administrative, legal, and clinical information, with emphasis on dynamic risk factors such as treatment adherence, substance use, and recent aggression. Descriptive analyses summarized population characteristics and concordance between clinical recommendations and CETM decisions. Results: The cohort was predominantly male (85%) with a mean age of 41 years. Psychotic disorders were the most frequent primary diagnoses (76%), frequently accompanied by substance use and antisocial traits. Most patients (79.6%) had prior psychiatric hospitalizations, while 25.5% had prior incarcerations. Nearly half displayed recent aggression or non-compliance. Treatment teams most often recommended conditional discharge (55%), followed by detention with conditions (21%) and unconditional release (19%). CETM decisions aligned with recommendations in 83.6% of cases; when divergent, rulings were more restrictive (8.6%) than permissive (4.6%). Conclusions: This study provides the first large-scale profile of Quebec’s CETM. High concordance with clinical teams was observed, but restrictive decisions were more frequent in cases of disagreement. The findings underscore the importance of incorporating standardized risk assessment tools to enhance transparency, consistency, and balance in forensic decision-making. Full article

Background: The present exploratory study aimed to investigate the relationship between arginine vasopressin (AVP) secretion and cerebral edema and evaluate its usefulness as an index for assessing severity of cerebral edema. Methods: Forensic autopsy was performed within 96 h after death in 143 cases, and samples of right heart blood and cerebrospinal fluid (CSF) were collected. Serum AVP levels and CSF were then measured and relationships with brain weight (BW) and normalized BW were investigated. Results: No relationships between serum AVP levels or CSF and age, sex, survival, or postmortem period were identified. A comparison in regard to cause of death revealed lower CSF AVP concentrations in cases of blunt head injury and cerebrovascular disease. In addition, a correlation was observed between serum AVP levels and non-normalized or normalized BW with blunt head injury or asphyxia. Receiver operating characteristic analysis revealed that neither serum nor CSF AVP concentrations yielded cutoff values readily applicable to the diagnosis of cerebral edema. Conclusions: The present findings suggest that postmortem AVP concentrations remain relatively stable and may be involved in the formation of cerebral edema. The findings also highlighted issues such as the influence of confounding factors associated with individual pathologies and the verification of AVP stability in postmortem samples. Thus, the usefulness of AVP as an indicator of cerebral edema in forensic evaluation remains unclear. Full article

Background/Objectives: Incomplete cut marks produced during dismemberment are often interpreted as indicative of saw class characteristics. However, empirical validation of these associations remains limited, with prior studies examining six or fewer saws. Considering the wide variety of saws available, it is critical to assess the reliability of reported relationships between kerf features and saw classification using a larger sample, particularly in light of the serious legal consequences of erroneous conclusions. This study examines the statistical relationships between five incomplete cut traits—kerf profile shape (KPS), kerf length shape (KLS), floor dip (FD), kerf flare (KF), and floor striae (FS)—and saw class characteristics, including tooth set, tooth shape, teeth-per-inch, power, handle orientation, and cut direction. Methods: Kerf features were scored on a sample of 472 incomplete cuts made with 34 power and hand saws. Results: In reciprocating saws, W-shaped KPS was exclusively associated with crosscut, alternating saws (100%; p < 0.001), with hourglass-shaped KLS also primarily made by alternating sets (95.6%). Necked KLS was linked to wavy sets (76.8%; p < 0.001). FD, though rare, could be correctly assigned to teeth-per-inch groups (86.4%), and was also predominantly associated with alternating saws (90.9%; p < 0.001). Undulating FS were indicative of alternating saws with less than 20 teeth-per-inch (100%, p < 0.001). In contrast, KF showed no strong relationship with saw class characteristics, including handle side. Conclusions: The results of this large-scale analysis support most reported relationships in the saw mark literature but challenge assumptions that KF reliably indicates handle orientation or cut direction, suggesting instead that its location may reflect sawyer technique. Full article

Background/Objectives: This study investigated the use of artificial intelligence (AI) to identify and match barefoot prints belonging to the same individual on soft and sandy soil substrates. Recognizing footprints on soil is challenging due to low contrast and variability in impressions. Methods: We introduce Deep Learning Footprint Identification Technology (DeepFIT), based on a modified You Only Look Once (YOLOv11s) algorithm, using three methods, namely, Bounding Box (BBox), 16 anatomical landmarks, and automatically segmented outlines (Auto-Seg). An Extra Small Detection Head (XSDH) was added to improve feature extraction at smaller scales and enhance generalization through multi-scale supervision, reducing overfitting to specific spatial patterns. Results: Forty adults (20 males, 20 females) participated, with 600 images per individual. As the number of individuals in model training increased, the BBox model’s accuracy declined, resulting in misclassification on the test set. The average performance accuracy across both substrates was 77% for BBox, 90% for segmented outlines, and 96% for anatomical landmarks. Conclusions: The landmark method was the most reliable for identifying and matching barefoot prints on both soft and sandy soils. This approach can assist forensic practitioners in linking suspects to crime scenes and reconstructing events from footprint evidence, providing a valuable tool for forensic investigations. Full article

Background/Objectives: Overkill is generally defined as violence demonstrably exceeding the force required to cause death, often involving a disproportionate number of inflicted injuries. Typically linked to specific mental states, this phenomenon can serve diverse perpetrator purposes, from expressing sadistic impulses to deliberately contaminating forensic evidence. This study re-examines the historical case of Mary Jane Kelly, the canonical final victim of Jack the Ripper, to offer a historical perspective on extreme violence and its influence on modern forensic frameworks. Methods: We employed a retrospective analysis, combining a systematic literature review with application of the Homicide Injury Scale to documented autopsy findings from 1888. Results: The autopsy revealed systematic post-mortem mutilation following a fatal neck laceration. Application of the Homicide Injury Scale confirmed violence exceeding lethal force. Conclusions: This case represents a foundational example of organized overkill behavior, demonstrating the value of applying modern forensic frameworks to historical cases to inform comprehensive overkill analysis. Full article

Background/Objectives: The identification of a decedent through skeletal analysis is dependent on accurate estimation of demographic characteristics, including biological sex. The most well-known sex estimation technique using the pubic bone is the Phenice method. In 2012, it was revised by Klales and colleagues and a logistic regression equation to predict sex was applied. Later, a program that estimates sex from Klales’ scoring with a random forest model, MorphoPASSE, was developed by Klales. Methods: Here we compare the accuracy of the original and revised methods, along with MorphoPASSE, using a contemporary sample of Northern Italians with documented sex. We further test the assertions by Phenice that his method is easy to employ for new observers and that ambiguity can be applied when characteristics do not morphologically fit into the categories of the method. Accuracy, error, bias, sensitivity, and specificity were calculated for each approach, along with McNemar’s tests for paired data, which compared documented sex and estimated sex. A linear weighted Cohen’s Kappa measured the differences in scoring between a new observer and an experienced observer. Results: Phenice’s method achieved higher accuracy (97%) than the Klales method and MorphoPASSE (86% each), as well as higher sensitivity and specificity, and lower error and bias. All McNemar’s tests conducted were not significant. The new observer demonstrated a similar accuracy (93%) to the experienced observer (97%). Furthermore, comparisons of Phenice’s scoring with ambiguity indicate its superior performance for capturing variation over the Klales method and MorphoPASSE. Conclusions: Phenice’s method is recommended in forensic anthropology and bioarchaeological contexts, particularly in Milan. Full article

Background: Artificial intelligence is transforming forensic fingerprint analysis by introducing probabilistic demographic inference alongside traditional pattern matching. This study explores how AI integration reshapes the role of forensic experts from interpreters of physical traces to epistemic corridors who validate algorithmic outputs and translate them into legally admissible evidence. Methods: A conceptual proof-of-concept exercise compares traditional AFIS-based workflows with AI-enhanced predictive models in a simulated burglary scenario involving partial latent fingermarks. The hypothetical design, which does not rely on empirical validation, illustrates the methodological contrasts between physical and algorithmic inference. Results: The comparison demonstrates how AI-based demographic classification can generate investigative leads when conventional matching fails. It also highlights the evolving responsibilities of forensic experts, who must acquire competencies in statistical validation, bias detection, and explainability while preserving traditional pattern-recognition expertise. Conclusions: AI should augment rather than replace expert judgment. Forensic practitioners must act as critical mediators between computational inference and courtroom testimony, ensuring that algorithmic evidence meets legal standards of transparency, contestability, and scientific rigor. The paper concludes with recommendations for validation protocols, cross-laboratory benchmarking, and structured training curricula to prepare experts for this transformed epistemic landscape. Full article

Background/Objectives: Cannabis is the most widely used illicit substance worldwide, particularly among young adults, with growing acceptance following medical and recreational legalization. Although generally perceived as a drug with low acute toxicity, an expanding body of evidence indicates that cannabinoids can exert relevant cardiovascular effects, including arrhythmias, myocardial ischemia, and sudden cardiac death (SCD). These mechanisms are mediated through complex, dose-dependent interactions among CB1 and CB2 receptors, autonomic imbalance, and endothelial dysfunction. Nevertheless, cannabis-related fatalities remain underestimated in both clinical and forensic settings. Case presentation: Three cases of sudden unexpected death in previously healthy men aged 28, 37, and 37 years are described. All were found deceased at home under non-suspicious circumstances. Forensic autopsies ruled out trauma, coronary atherosclerosis, congenital malformations, or cardiomyopathy. Histological analyses consistently revealed polymorphic myocardial alterations, including interstitial edema, fiber disruption, and focal myocytolysis, without inflammatory infiltrates or necrosis. Toxicological examinations demonstrated the presence of Δ9-tetrahydrocannabinol (THC) and metabolites in peripheral blood and urine, while alcohol and other illicit drugs tested negative. In each case, the cause of death was attributed to arrhythmic sudden cardiac death in temporal association with cannabis use. Conclusions: This case series, integrated with a narrative review of current literature, supports the hypothesis that cannabis consumption can contribute to fatal arrhythmias even in young adults without conventional cardiovascular risk factors. The convergence of autopsy, histopathological, and toxicological findings suggests a potential causal link between THC exposure and sudden unexpected death. These results highlight the importance of systematic postmortem investigations in suspected drug-related fatalities and underscore the need for greater awareness among clinicians, forensic pathologists, and policymakers regarding the underestimated cardiovascular toxicity of cannabis. Full article

Missing persons is an understudied area, especially within forensic anthropology when not associated with cases of mass violence or mass disaster. Affecting more than half a million persons in the United States yearly, missingness has proven to be a significant issue across the country—and globally—with no explicit preventative measures or solutions having been identified. Here we contribute to conceptualizations regarding the incidence of going missing, or missingness, utilizing frameworks of structural violence, necropolitics, and intersectionality. The concept of missingness is then applied to a case study of missing persons from Mississippi, documented in the Mississippi Repository for Missing and Unidentified Persons. Missingness was found to affect demographic groups differently, with marginalized racial and ethnic groups not only disproportionately exposed to the risk of missingness but also suffering from the worst case outcomes after having gone missing. We argue that the socioeconomic, political, and sociocultural limitations structural violence imposes upon marginalized groups may result in missingness. By rigorously theorizing missingness, we hope to draw attention to and improve an understanding of the silent epidemic of missingness, eventually resulting in the identification of specific circumstances correlated to missingness and ultimately improving prevention and recovery efforts. Full article

Background/Objectives: Age estimation is of fundamental importance in forensic investigations. When traditional methods based on gross bone morphology or morphometric analysis cannot be applied, forensic experts must rely on multidisciplinary approaches. Histomorphometry has consistently proven to be reliable in cases of highly fragmented or incomplete skeletal remains, particularly in older individuals. Building on the foundational study of Amprino and Bairati, this study evaluated the correlations between bone microstructural features in femoral cross-sections and the age and sex of individuals. Methods: The sample comprised 95 femoral mid-diaphyseal thin sections obtained from autopsy specimens housed at the Institute of Legal Medicine, University of Bari (Italy), representing both male and female individuals aged 18 to 92 years. The numbers and densities of primary, intact secondary, and fragmentary secondary osteons, together with osteon circularity and the mean osteonal area, were measured to investigate age-related variation. Statistical analyses included t-tests, Mann–Whitney tests, Spearman’s rank correlation, and General Linear Models (GLMs). Results: No significant differences in histomorphometric variables were observed between males and females. However, the number of intact secondary osteons and osteon population density increased with age, while the mean osteonal area and osteon circularity decreased with age. Although some variables displayed significant correlations with age, residual analysis indicated a lack of heterogeneity in variance, which limited the development of a robust predictive model. Conclusions: The findings highlight both the potential and the limitations of histomorphometry in forensic age estimation. While certain microstructural variables correlate with age, inter-individual variability reduces predictive accuracy. Further research is needed to refine models that account for biological and biomechanical variability, particularly in older adults. Full article

Background/Objectives: Estimating the sex from unknown individuals is a critical step when constructing their biological profile. The distal humerus is a useful sex discriminator as shown through metric, morphoscopic, and geometric morphometric approaches. A recently developed web application using geometric morphometric techniques has provided an accessible tool for estimating sex from the shape of the olecranon fossa. The aims of this study were to examine the accuracy of the Ammer–Coelho web application on Scottish individuals, as well as test its repeatability and reproducibility among seven different observers. Methods: The right humerus was obtained from 52 Scottish individuals, and the Ammer–Coelho web application was used to estimate sex. Total accuracy rates and sex-specific rates were calculated, and an analysis of Cohen’s and Fleiss’ kappa was performed. Results: The results demonstrate an overall accuracy of 69.23% with a sex bias of −5.33%, with 55.56% of the sample being accurately estimated with probabilities equal to or higher than 0.95. Substantial agreement was reported for intra-observer error, and an overall low agreement was reported for inter-observer error Conclusions: This is the first study that evaluates the Ammer–Coelho web application. A tendency to perceive more triangular shapes (male appearance) rather than oval shapes (female appearance) resulted in a high level of observer errors, with only 6% of females correctly estimated across the seven observers. The low accuracy rates obtained could also indicate inter-population variation, as shown by other studies. Due to the results obtained, research considering different levels of observers’ experience and diverse population samples is needed to confirm our findings. Full article

Background/Objectives—Traditional forensic investigations often analyze digital, physical, and criminological evidence separately, leading to fragmented timelines and reduced accuracy in reconstructing complex events. To address these gaps, this study proposes the Digital Stratigraphy Framework (DSF), inspired by archaeological stratigraphy, to integrate heterogeneous evidence into structured, temporally ordered layers. DSF aims to reduce asynchronous inconsistencies, minimize false associations, and enhance interpretability across digital, behavioral, geospatial, and excavation evidence. Methods—DSF employs Hierarchical Pattern Mining (HPM) to detect recurring behavioral patterns and Forensic Sequence Alignment (FSA) to synchronize evidence layers temporally and contextually. The framework was tested on the CSI-DS2025 dataset containing 25,000 multimodal, stratified records, including digital logs, geospatial data, criminological reports, and excavation notes. Evaluation used 10-fold cross-validation, Bayesian hyperparameter tuning, and structured train-validation-test splits. Metrics included accuracy, precision, recall, F1-score, and Stratigraphic Reconstruction Consistency (SRC), alongside ablation and runtime assessments. Results—DSF achieved 92.6% accuracy, 93.1% precision, 90.5% recall, 91.3% F1-score, and an SRC of 0.89, outperforming baseline models. False associations were reduced by 18%, confirming effective cross-layer alignment and computational efficiency. Conclusions—By applying stratigraphic principles to forensic analytics, DSF enables accurate, interpretable, and legally robust evidence reconstruction. The framework establishes a scalable foundation for real-time investigative applications and multi-modal evidence integration, offering significant improvements over traditional fragmented approaches. Full article

Background: Adoption in Italy has evolved significantly over the years, becoming a critical legal, social, and ethical issue. Recent data indicates a decline in the number of adoptions, reflecting a broader European trend. Historically, adoption was primarily pursued by couples unable to have biological children due to infertility. Today, however, the adoption process in Italy has expanded to include single individuals, following recent legislative reforms that aim to accommodate diverse family structures. Methods: We have analyzed the relevant literature through a PubMed search and studied the current regulations considering recent Italian developments. This paper examines the current state of adoption in Italy, focusing on the increasing need for interdisciplinary collaboration between law, forensic medicine, ethics, and psychology. Results: The evolving adoption landscape requires a comprehensive approach that addresses legal issues, medical conditions, ethical considerations, and psychological support for both adoptive parents and children. The integration of these fields is essential for ensuring the well-being of the adopted child and the success of the adoption process. Conclusions: By exploring the dynamics of adoption, this article highlights the importance of a multidisciplinary framework in meeting the needs of children awaiting adoption and fostering the development of new family structures in Italy. In particular, forensic medicine plays a central role in evaluating parental suitability, detecting potential risk factors, and supporting judicial decisions through technical expertise and medico-legal assessments. Full article