Driving Under the Influence of Alcohol

Jones, Adrian

doi:10.1002/9781119648628.ch59

Cited by 8 publications

(4 citation statements)

References 137 publications

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“…In the setting of the forensic laboratory, there is a universal need for space since there is a legal requirement to store several thousands of histopathology slices as images and physical archives [46,47]. In this context, demands for data storage make artificial neural networks (ANNs) and AI supreme acquisitions, where an AI augmentation of the workflow puts forward the most elegant method of dodging space limitations [48][49][50][51]. Beyond the "dodging the space limitations" deep learning AI models are currently used in analytical procedures as an assessment tool to help with efficiency, consistency, and decision-making [52][53][54].…”

Section: Apophenic Vs Evidence-based Forensic Medicinementioning

confidence: 99%

Postmortem Gone Astray—A Systematic Review and Meta-Analysis

Šoša,

Perković

2024

Forensic Sciences

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Premortem clinical diagnoses and postmortem autopsy findings do not match historically. These clinicopathological discrepancies are expected to be higher during the coronavirus disease 2019 (COVID-19) pandemic due to increased pressure on healthcare. At the same time, autopsies and clinicopathological discrepancies accurately display the quality of the healthcare system. To assess that, we examined the relevant works of literature according to the PRISMA-based protocol. As a discrepancy rate change-related antemortem scrutiny of medical care in the hospital, we also checked whether studies with patients from the intensive care unit (ICU) differed in discrepancies significantly. We found similar overall risk differences in “pre-COVID” and “during the pandemic” groups of studies. Based on this, we concluded that healthcare quality did not drop significantly during the pandemic. Be that as it may, the pandemic exposed some shortcomings in mortem healthcare regarding consensus to the autopsy, organ retention, burial, and the postponed burial or the digitalization of postmortem healthcare. All of these issues should be addressed in the future.

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Section: Apophenic Vs Evidence-based Forensic Medicinementioning

confidence: 99%

Postmortem Gone Astray—A Systematic Review and Meta-Analysis

Šoša,

Perković

2024

Forensic Sciences

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“…Thus, it may soon automate and standardize. Though plots used in AI datasets are visually different from the original, however, proper demands for data storage makes CNNs optimal in this regard [12,[115][116][117]. Deep learning AI models are currently being used in analytical procedures as an assessment to help with efficiency, consistency, and decision making.…”

Section: Machine Learning and Artificial Intelligence (Ai) Approachesmentioning

confidence: 99%

Mass Spectrometry-Based Techniques Towards OMICS 2.0

Šoša¹

2023

Preprint

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The literature was scoped to help place mass spectrometric (MS) platforms in the spotlight of the life sciences, as a tool of OMICS and OMICS 2.0 technologies. Moreover, today’s appliances are so handy, that they literally place a whole lab on a single chip. Methods of OMICS (and the most recently developed term OMICS 2.0) are tackled, having in mind their aptness for educational purposes, as well as their feasibility. This same topic was highlighted in many reviews that have been periodically published. The author’s initial interest was the forensic application of MS, but since these interests changed, terms such as “biosensors” were also examined, so the review included means of discovery of efficient biomarkers and clinical therapeutic targets. Aside from simply reviewing the research status and the future perspectives, this article tackles terms such as Society 5.0 and OMICS 2.0. However, within the framework of this review, physical chemistry, bioinformatics, or specific software solutions were not specifically studied. Since the topic of generating permanent collections of digital content for retrospective analysis was also reviewed, the need for loads of data – cloud storage was discussed in the context of MS. These large quantities of data are easier to operate with if generated by MS, rather than by any other commercially available assay. In this manner, the review has strengthened an in-depth understanding of the applications of MS.

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“…On the other hand, progress in computing programming has ignited diligence for learning the AIconstructed machines built for the high-dimensional output of data [85]. A model for the near future comprises the forensic medicine specialist skilled in toxicology enhanced by a real-time artificial intelligence system's second review [4,86].…”

Section: Forensics In the Society 50mentioning

confidence: 99%

Postmortem Gone Astray

Šoša,

Perković

2023

Preprint

View full text Add to dashboard Cite

Premortem clinical diagnoses and postmortem autopsy findings do not match throughout history. These clinicopathological discrepancies are expected to be raised during the coronavirus disease 2019 (COVID-19) pandemic due to increased pressure on healthcare. At the same time, autopsies and clinicopathological discrepancies accurately display the quality of the healthcare system. To assess that, we examined the relevant works of literature according to the PRISMA-based protocol. As discrepancy rate changes in the correlation to the length of stay in the hospital, we also checked whether studies with patients from the intensive care unit (ICU) differed in discrepancies significantly. We found overall risk differences pretty much alike in "pre-COVID" and "during the pandemic" groups of studies. Based on that, we concluded that healthcare quality did not drop significantly during the pandemic. Be it as it may, the pandemic exposed some shortcomings in mortem healthcare regarding consensus to the autopsy, organ retention, burial, and the postponed burial or the digitalization of post mortem healthcare. All of these issues should be addressed in the future.

show abstract

Driving Under the Influence of Alcohol

Cited by 8 publications

References 137 publications

Postmortem Gone Astray—A Systematic Review and Meta-Analysis

Postmortem Gone Astray—A Systematic Review and Meta-Analysis

Mass Spectrometry-Based Techniques Towards OMICS 2.0

Postmortem Gone Astray

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