Objective: Aim: To investigate and analyze legal conflicts in forensic dentistry of Ukraine.
Patients And Methods: Materials and Methods: A comparative research method for determining the common and distinctive features of the legal regulation of forensic dental expertise as a subcluster in the legislation of Ukraine. The descriptive (monographic) method reveals the problematic aspects of forensic dental examination through the lens of local normative and general normative connotations. The structural-functional research method made it possible to systematize the peculiarities of forensic medical and forensic dental expert activity.
Conclusion: Conclusions: The analysis of legal conflicts made it possible to come to the following conclusions, that in Ukraine today there is no specific legal act that would regulate the aspects of performing dental activities. Forensic dental examination in Ukraine, in accordance with the legislation, is an examination of the actions and inactions of the dentist. The adoption of normative legal acts in the field of dental activity and forensic dental examination in Ukraine would make it possible to determine the specifics of establishing facts and circumstances that indicate a violation of the patient's rights.
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http://dx.doi.org/10.36740/WLek202403131 | DOI Listing |
J Pharm Biomed Anal
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Clinical Institute of Laboratory Diagnostics, University Hospital Centre Osijek, J. Huttlera 4, Osijek 31 000, Croatia; Faculty of Medicine Osijek, JJ Strossmayer University of Osijek, J. Huttlera 4, Osijek 31 000, Croatia. Electronic address:
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January 2025
Department of Prosthodontics and Dental Implantology, College of Dentistry, King Faisal University, Al-Ahsa, Saudi Arabia. Electronic address:
The integration of artificial intelligence (AI) into dental imaging has led to significant advancements, particularly in the analysis of panoramic radiographs, also known as orthopantomograms (OPGs). One emerging application of AI is in determining gender from these radiographs, a task traditionally performed by forensic experts using manual methods. This systematic review and meta-analysis aim to evaluate the accuracy of AI algorithms in gender determination using OPGs, focusing on the reliability and potential clinical and forensic applications of these technologies.
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January 2025
Department of Pathology and Forensic Medicine, Ribeirão Preto Medical School (FMRP/USP), University of São Paulo, Ribeirão Preto, SP, Brazil.
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Mental Health Services Noord-Holland-Noord, Alkmaar, the Netherlands; Dutch Clozapine Collaboration Group, Alkmaar, the Netherlands.
Adv Rheumatol
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Department of Ophthalmology, Otolaryngology, Head and Neck Surgery, Ribeirão Preto Medical School, University of São Paulo, São Paulo, Brazil.
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View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!