Application of artificial intelligence and machine learning technology for the prediction of postmortem interval: A systematic review of preclinical and clinical studies.

BACKGROUND /PURPOSE: Establishing an accurate postmortem interval (PMI) is exceptionally crucial in forensic investigation. Artificial intelligence (AI) and Machine learning (ML) models are widely employed in forensic practice. ML is a part of AI, both terms are highly associated and sometimes used interchangeably. This systematic review aims to evaluate the application and performance of AI technology for the prediction of PMI. METHODS: Systematic literature search across different electronic databases using PubMed/Google Scholar/EMBASE/Scopus/CINAHL/Web of Science/Cochrane library was conducted from inception to 3 December 2021 for preclinical and clinical studies reported ML models for PMI estimation. RESULTS: We identified 18 studies (12 preclinical and 06 clinical) that met the inclusion criteria in the qualitative analysis. Most of the studies employed supervised learning (N = 15), and others employed unsupervised learning (N = 3). Due to the heterogeneity of the samples, quantitative analysis was not performed. CONCLUSION: In this systematic review, we discussed the performance of AI-based automated systems in PMI estimation. ML models have demonstrated accuracy and precision and the ability to overcome human errors and bias. However, the research is limited, conducted in primarily small, selected human populations. In addition, we suggest further research in larger population-based studies is needed to fully understand the extent of integrated ML models.

N-acetyl cysteine in the treatment of cannabis use disorder: A systematic review of clinical trials.

BACKGROUND AND AIM: Cannabis is the most consumed illicit drug globally, with a high risk of developing cannabis use disorder (CUD). No approved pharmacological treatment exists for CUD, but N-Acetyl Cysteine (NAC) has shown promising results in different clinical studies. This study aims to conduct a systematic review of NAC clinical trials for the treatment of CUD. METHODS: Systematic review of randomized controlled trials (RCTs) was conducted to determine the effect of NAC for the treatment of cannabis dependence/cannabis use disorder (CUD). Articles were electronically searched across different databases using PubMed, Google Scholar, EMBASE, Cochrane Library, Medline and PsycINFO from inception to June 2021. Several study characteristics, including study duration, sample size, study population and age group, intervention, adverse effects, and outcome measure were extracted. A PICO table was used for data extraction. RESULTS: We included 08 RCTs in the qualitative analysis. The risk of bias (RoB) was assessed according to Cochrane RoB criteria, and a 5 point grading system according to the Oxford Centre for Evidence-Based Medicine was used to rate the methodological quality (level of evidence) of the included articles. Mild and well-tolerated adverse events were reported in the placebo and NAC group. CONCLUSIONS: The studies collectively offer mixed results, although the strength of the evidence available on which to make a recommendation is strong. NAC has shown to be effective in promoting abstinence, medication adherence and reducing cannabis use and craving among cannabis dependent users. This review also suggests recommendations for future research.

Effectiveness of video modules in infection control trainings during COVID-19 pandemic: A quasi-experimental study in tertiary care institute.

BACKGROUND: Continuous pertinent trainings for infection prevention and control (IPC) measures are essential to ensure quality health-care services along with the safety of the health personnel. Amid the COVID-19 pandemic, the current study focusses on the utilization of explicated video modules training of all health-care personnel of the institute and assessment of the effectiveness of video training for IPC practices during COVID-19 pandemic. MATERIALS AND METHODS: A quasi-experimental study, one group pre- and posttest design, using Google Questionnaire forms was conducted at a tertiary care center. The training was assisted by trained tutors, and three in-house videos were demonstrated to the participants regarding specific IPC measures; "Do's and Don'ts;" "Hand hygiene and personal protective equipment's (PPE)" and "Environmental cleaning and disinfection." SPSS software version 23 (IBM Corp., N. Y., USA) was used for the analysis using the descriptive statistics, Chi-square test, Fisher's t-test, ANOVA, and post hoc Tukey's test. RESULTS: The level of knowledge increased significantly by 16% in the posttest. Statistically significant association between the levels of knowledge in pretest as well as posttest scores and age (P < 0.001), designation (P < 0.001), and years of experience (P < 0.001) was identified. The participants were satisfied with the video-assisted trainings and willing to use videos for revision. CONCLUSIONS: Video-assisted training modules similar to this study may be utilized to enhance the knowledge of various cadres of health-care staff regarding IPC practices.

Cerebrospinal fluid monoamine metabolite concentrations in suicide attempt: A meta-analysis.

AIM: The purpose of this meta-analysis was to critically examine the data from individual studies on CSF neurotransmitter metabolites to see whether there were consistencies in the results of the comparison of suicide attempters and psychiatric controls and of the comparison of attempted suicides using violent versus nonviolent methods. METHOD: Systematic literature search across different electronic databases using PubMed/Google Scholar/EMBASE/Cochrane library was conducted for studies that reported concentration of CSF-neurotransmitter metabolites: 5-hydroxyindoleacetic acid (5-HIAA), homovanillic acid (HVA) and 3-methoxy-4-hydroxy phenylglycol (MHPG) in suicide attempters, from January'1981 to November'2020. Standardized mean differences (SMDs) and corresponding 95 % confidence interval (CIs) were deduced for outcome measures. I2 statistics were used to assess heterogeneity within studies. Data were analyzed using STATA software. RESULTS: A total of 36 studies (N = 1987 attempted suicide and N = 1235 psychiatry control) were included for the meta-analysis. We found CSF levels of all the 3 metabolites i.e. 5-HIAA (SMD= -0.43; 95 %CI: -0.61, -0.24), HVA (SMD= -0.16; 95 %CI: -0.33, -0.00) and MHPG (SMD= -0.33; 95 %CI: -0.71, -0.05) were lower in suicide attempters. While the findings were consistent for 5-HIAA, they were inconsistent for the HVA and MHPG. CSF levels of 5-HIAA (SMD= -0.66; 95 %; CI: -1.01, -0.31), HVA (SMD= -0.14; 95 %CI: -0.45, 0.16) and MHPG (SMD= -0.12; 95 %CI: -0.56, 0.31) were significantly lower in violent suicide attempters than non-violent attempters. No significant publication bias found in any study. CONCLUSION: We found a significant association between lower levels of CSF 5-HIAA in suicide attempters, particularly the violent ones, compared to psychiatric controls, whereas findings from CSF HVA and MHPG were inconsistent.