DOI: 10.37421/2472-1026.2024.9.353
Unexplained Sudden Cardiac Death (USCD) remains a perplexing medical mystery with significant implications for families and communities. Genetic testing has emerged as a crucial tool in unraveling the underlying causes of USCD, providing valuable insights into inherited cardiac conditions that may otherwise go undetected. This article explores various genetic testing strategies employed in USCD cases, including targeted gene sequencing, next-generation sequencing panels and whole exome sequencing. We discuss the challenges and limitations of genetic testing, such as variant interpretation and genetic counseling and highlight the importance of multidisciplinary collaboration in managing USCD cases. By leveraging advancements in genetic technology and adopting comprehensive testing approaches, clinicians can enhance diagnostic accuracy and offer tailored interventions to prevent further tragedies.
DOI: 10.37421/2472-1026.2024.9.354
Artificial Intelligence (AI) has emerged as a transformative force in the field of medical imaging diagnostics, revolutionizing the way healthcare providers interpret and analyze medical images. This article explores the pivotal role of AI in enhancing medical imaging diagnostics, encompassing its applications in image interpretation, disease detection, treatment planning and prognostication. Through advanced algorithms and machine learning techniques, AI empowers clinicians with unprecedented accuracy, efficiency and speed in diagnosing various medical conditions from radiological images. Moreover, AI-driven innovations hold promise in personalized medicine, enabling tailored treatment strategies based on individual patient characteristics. Despite remarkable advancements, challenges such as data quality, regulatory compliance and ethical considerations remain pertinent. Therefore, this article also addresses the current landscape, future prospects and ethical implications of AI integration in medical imaging diagnostics.
DOI: 10.37421/2472-1026.2024.9.355
Artificial Intelligence (AI) has emerged as a transformative force in various fields and its impact on criminal profiling and investigation is profound. This article explores how AI technologies are revolutionizing traditional methods of criminal profiling and investigation. By analyzing vast amounts of data, detecting patterns and predicting criminal behavior, AI empowers law enforcement agencies to enhance their investigative capabilities, identify suspects and prevent crime more effectively. However, ethical considerations and the potential for bias must be carefully addressed to ensure responsible AI deployment in the realm of criminal justice.
DOI: 10.37421/2472-1026.2024.9.356
The psychological evaluation of female asylum seekers is a critical aspect of ensuring their well-being and fair treatment throughout the asylum process. However, this practice necessitates careful consideration of ethical principles to uphold the dignity, autonomy and rights of these vulnerable individuals. This article explores the ethical considerations involved in psychological evaluations of female asylum seekers, focusing on issues such as cultural sensitivity, trauma-informed approaches, confidentiality and informed consent. By addressing these ethical concerns, mental health professionals can strive to conduct evaluations that are both clinically effective and ethically sound, thereby contributing to the promotion of justice and human rights in the asylum-seeking context.
DOI: 10.37421/2472-1026.2024.9.357
DOI: 10.37421/2472-1026.2024.9.358
DOI: 10.37421/2472-1026.2024.9.359
DOI: 10.37421/2472-1026.2024.9.360
DOI: 10.37421/2472-1026.2024.9.361
DOI: 10.37421/2472- 1026.2024.9.362
Vidhi Soni
A disaster or catastrophe is an impulsive devastating event that utterly disrupts the functioning of a community, a society comprising of widespread human, material, economic or environmental losses and impacts, which exceeds the ability of the affected community or society to cope using its own resources. The death of a loved one leaves an indelible mark on the survivors, and unfortunately, because of the lack of information, the families of the deceased suffer additional harm due to the inadequate ways in which the bodies of the deceased are handled. These secondary injuries are unacceptable, particularly when they are under the consequences of direct authorization or action on the part of the authorities or those responsible for humanitarian assistance. The most serious aspect is that these measures are being carried out without respecting identification procedures or preserving the individuality and dignity of the deceased. Disaster victim identification (DVI) is an intensive and arduous task which needs the contribution of specialists from various disciplines. Here in these exotic situations, forensic facial recognition may act as a boon for revealing the identity of the victims. A lot of face recognition algorithms, along with their modifications, have been developed during the past decades. This paper seeks to present a review of the existing literature in this domain and discuss several aspects, significance and requirements for forensic face recognition systems particularly focusing the various advances and trends of facial imaging which may provide a great beneficiary value in face recognition mechanism of victims in the case of different fatalities.
Journal of Forensic Medicine received 165 citations as per Google Scholar report
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