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All Journal MKGK (Majalah Kedokteran Gigi Klinik) (Clinical Dental Journal) UGM Hearty : Jurnal Kesehatan Masyarakat Abdi Dosen : Jurnal Pengabdian Pada Masyarakat Conservative Dentistry Journal Jurnal Hukum dan Etika Kesehatan (JHEK) Promotor: Jurnal Mahasiswa Kesehatan Masyarakat Jurnal of Syiah Kuala Dentistry Society
Yessy Andriani Fauziah
Universitasi Ciputra
Religion Humanities Dentistry Education Health Professions Law, Crime, Criminology & Criminal Justice Medicine & Pharmacology Nursing Public Health Social Sciences Other

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Etika dan Tantangan Penggunaan Kecerdasan Buatan dalam Kedokteran Gigi Fauziah, Yessy Andriani; Alhadad, Husin; Prawira Utama, Yudhistira
Jurnal Hukum dan Etika Kesehatan VOLUME 4 NO 2
Publisher : Magister Ilmu Hukum - Universitas Hang Tuah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30649/jhek.v4i2.200

Abstract

The integration of artificial intelligence (AI) in dentistry has brought significant advancements in diagnosis, treatment planning, and improving healthcare services. However, the rapid adoption of AI raises ethical challenges, such as data privacy, clinical decision-making processes, and the potential reduction in human interaction. This study aims to analyze the ethical implications and legal challenges associated with the use of AI in dental practice. The method used is normative legal research based on literature, focusing on relevant regulations and legal concepts. This review highlights key issues such as informed consent, transparency in decision-making, and the role of dentists as overseers of AI technology. Additionally, the urgent need for a legal framework ensuring the ethical use of AI is discussed, to ensure that this technology enhances care without compromising standards. While AI has the potential to improve diagnostic accuracy and operational efficiency, dentists must ensure a balance between innovation and ethical obligations, emphasizing the importance of sustained ethical guidelines.
Innovation in Dental Conservation and Their Impact on Forensic Odontology Fauziah, Yessy Andriani; Wahjuningrum, Dian Agustin; Darmadi, Eveline Yulia; Adityatama, Anneke Paramita
Conservative Dentistry Journal Vol. 14 No. 2 (2024): July-December
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/cdj.v14i2.2024.42-46

Abstract

Background: Innovations in dental conservation are increasingly integral to advancements in forensic odontology. Integrating digital technologies, such as intraoral scanning, CAD/CAM, and 3D printing, has enhanced the precision and efficiency of dental record creation. Purpose: To examine and analyse new technologies and tools in dental conservation which play a crucial role in forensic identification, where accurate dental matching is essential for personal identification. Dental identification systems, including microchips and identification tags on prosthetics, are being implemented to aid in mass disaster victim identification. Reviews: Techniques like virtual dental autopsy offer reliable remote examination capabilities, making them invaluable in emergencies. These technologies facilitate more accurate and durable restorations, enhancing patient outcomes in clinical settings while also providing forensic odontologists with robust tools for human identification, especially under challenging conditions such as mass disasters. This paper explores various innovations in dental conservation and their impact on forensic odontology, emphasizing accuracy, speed, and ethical benefits for human identification processes. Conclusion: The advancements illustrate the transformative impact of digital innovation in dental science, setting new standards in both dental care and forensic applications
Forensic Identification Using Dental Restorations: A Radiographic and Material-Based Perspective Fauziah, Yessy Andriani; Darmadi, Eveline Yulia; Budiharjo, Adrianto; Wahjuningrum, Dian Agustin
Conservative Dentistry Journal Vol. 15 No. 1 (2025): January-June
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/cdj.v15i1.2025.1-4

Abstract

Background: Forensic identification is a critical aspect of criminal investigations and disaster victim identification (DVI). Dental records, particularly dental restorations, serve as essential forensic markers due to their resistance to decomposition and environmental conditions. The integration of radiographic imaging and material-based analysis enhances the accuracy of forensic identification, allowing experts to match post-mortem findings with ante-mortem records. Purpose: This literature review aims to explore the role of dental restorations in forensic identification, focusing on the radiographic techniques and material-based forensic analysis used in modern forensic odontology. Reviews: This literature discusses the durability and uniqueness of dental restorations in forensic investigations. Various radiographic techniques, including periapical, panoramic, and cone-beam computed tomography (CBCT) imaging, are examined for their effectiveness in detecting and analyzing restorations. Additionally, the forensic relevance of restorative materials—such as amalgam, composite resins, ceramics, and metal-based prosthetics—is evaluated in cases where conventional soft tissue or DNA-based identification is not feasible. The review also explores technological innovations, including machine learning algorithms and digital forensic methods, that enhance forensic odontology. Conclusion: Dental restorations remain one of the most reliable forensic markers, particularly in challenging identification cases where DNA and soft tissues are compromised. The integration of advanced radiographic imaging and material analysis significantly enhances the precision of forensic identification. Future developments in AI-driven forensic imaging and automated restoration detection will further strengthen forensic odontology as a crucial field in legal and disaster investigations.
LINK BETWEEN EARLY CHILDHOOD CARIES AND STUNTING: A PUBLIC HEALTH PERSPECTIVE Ameliana, Yemy; Fauziah, Yessy Andriani; Darmadi, Eveline Yulia; Setianingtyas, Dwi
HEARTY Vol 13 No 3 (2025): JUNI
Publisher : Fakultas Ilmu Kesehatan, Universitas Ibn Khaldun, Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32832/hearty.v13i3.20683

Abstract

Early childhood caries and stunting are two major health issues that often coexist, particularly in developing countries. Both conditions have long-term impacts on children's growth, development, and overall quality of life. This literature review aims to explore the association between early childhood care and development (ECC) and stunting from a public health perspective. The method employed was a narrative review of scientific articles sourced from PubMed, Scopus, and Google Scholar databases from 2017 to 2024. The findings indicate a strong correlation between poor nutritional status and a high incidence of early childhood caries among preschool-aged children. Shared risk factors such as unhealthy dietary patterns, low parental health literacy, and limited access to dental care services further reinforce this link. The review emphasizes the importance of an integrated, promotive, and preventive approach that combines nutrition and oral health interventions within public health programs. Integrating oral health services into stunting prevention strategies at the community level is considered essential for improving children's overall health outcomes.
The synergistic role of the immune system and stem cells in dental tissue regeneration Darmadi, Eveline Yulia; Fauziah, Yessy Andriani
Conservative Dentistry Journal Vol. 15 No. 1 (2025): January-June
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/cdj.v15i1.2025.18-22

Abstract

Background: Dental conservation focuses on maintaining natural teeth structure, function, and aesthetics using various techniques. Recent developments in regenerative dentistry highlight the immune system's and stem cells' crucial roles in regenerating dental tissues. The immune system is key in preserving oral health and supporting healing after treatment. Incorporating stem cell therapy presents a promising strategy for restoring damaged tissues, potentially enhancing the effectiveness of dental conservation. Purpose: This review explores the growing potential of immune system modulation and stem cell therapy in promoting tissue regeneration and optimizing clinical outcomes in dental conservation. It aims to summarize recent research while examining this evolving field's benefits, challenges, and future prospects. Reviews: Research indicates that the immune system's inflammatory response plays a dual role as it is crucial for wound healing but can lead to tissue damage if not regulated. Recent studies emphasize the importance of balancing pro-inflammatory and anti-inflammatory mechanisms to optimize tissue regeneration. Stem cells show promising potential in regenerating dentin, pulp, and periodontal tissues. Integrating stem cell therapy with immune modulation may further enhance regenerative outcomes. However, translating these approaches into clinical practice remains challenging due to concerns regarding safety, effectiveness, and ethical considerations. Conclusion: Regulating the immune system and integrating stem cell therapy offer promising advancements in dental conservation. Effectively utilizing these biological mechanisms can enhance tissue regeneration and improve treatment success. Future studies should aim to refine protocols, ensure long-term safety, and overcome practical barriers to fully incorporate these innovations into everyday clinical practice.
Artificial Intelligence in Forensic Odontology: Advancing Accuracy in Victim Identification and Crime Solving Fauziah, Yessy Andriani; Narmada, Ida Bagus; Yudianto, Ahmad; Darmadi, Eveline Yulia
Journal of Syiah Kuala Dentistry Society Vol 10, No 1 (2025): June
Publisher : Dentistry Faculty

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24815/jds.v10i1.48129

Abstract

Background: Forensic odontology plays a pivotal role in human identification, particularly in criminal investigations and mass disaster scenarios. Traditionally, this field has relied on manual techniques, which are often limited by human error, subjectivity, and time constraints. Recent advances in artificial intelligence (AI) offer new solutions to overcome these challenges. Objective: This review aims to explore and synthesize the current knowledge regarding the integration of AI in forensic odontology, focusing on its role in victim identification, bite mark analysis, and age and sex estimation. Method: A narrative literature review was conducted using electronic databases, including PubMed, Scopus, Web of Science, and Google Scholar. Articles published between 2015 and 2023 were retrieved using relevant keywords such as artificial intelligence, forensic odontology, victim identification, bite mark analysis, and age estimation. Inclusion criteria encompassed original research, systematic reviews, and high-quality narrative reviews in English discussing AI or machine learning applications in forensic dentistry. Exclusion criteria were non-English publications, unrelated studies, and papers lacking methodological clarity. Results: The integration of AI, particularly machine learning and neural networks, has significantly improved the accuracy and efficiency of forensic odontology procedures. AI systems demonstrate superior performance in dental image recognition, bite mark pattern analysis, and age/sex prediction compared to conventional methods. These tools facilitate rapid data processing and reduce examiner bias, making them especially valuable in time-sensitive situations like disaster victim identification. Furthermore, AI contributes to more reliable and consistent forensic evidence in legal settings. Conclusion: AI is revolutionizing forensic odontology by enhancing precision, objectivity, and speed in identification processes. Despite its advantages, ethical concerns regarding data privacy and the need for standardization remain critical. Continued interdisciplinary research and validation are essential to ensure the responsible and effective adoption of AI in forensic science.
EARLY DETECTION OF ORAL CANCER USING AI TECHNOLOGY: REVOLUTIONIZING DIAGNOSTIC PRECISION Fauziah, Yessy Andriani; Darmadi, Eveline Yulia; Aulia, Della; Damayanti, Desak Made Feby; Setianingtyas, Dwi
HEARTY Vol 13 No 4 (2025): AGUSTUS
Publisher : Fakultas Ilmu Kesehatan, Universitas Ibn Khaldun, Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32832/hearty.v13i4.18845

Abstract

Oral cancer remains a global health challenge, with late-stage diagnosis contributing to high morbidity and mortality rates. Early detection is critical for improving survival outcomes, but traditional diagnostic methods often rely on subjective interpretation and are time-consuming. This study investigates the application of artificial intelligence (AI) in the early detection of oral cancer, emphasizing its potential to improve diagnostic accuracy and efficiency. A structured literature review examined studies published between 2015 and 2025 from databases such as PubMed, Scopus, and Web of Science. The review focused on research utilizing machine learning algorithms, particularly convolutional neural networks (CNNs), to analyze clinical and imaging data. Key performance indicators, including sensitivity, specificity, and accuracy, were evaluated to assess the effectiveness of AI technologies. The findings suggest that AI-driven diagnostic systems consistently surpass traditional methods, offering enhanced accuracy and reliability. These advancements highlight AI's transformative potential in streamlining diagnostic workflows and addressing challenges in resource-limited settings. In conclusion, AI technology is reshaping the early detection landscape for oral cancer, reducing delays, and improving diagnostic precision. However, further research is needed to address challenges such as data standardization, model transparency, and ethical considerations to facilitate broader clinical adoption.
ETHICAL AND LEGAL ASPECTS OF ARTIFICIAL INTELLIGENCE IN ORAL HEALTH Darmadi, Eveline Yulia; Fauziah, Yessy Andriani; Alvin, Jonatan Deriano; Mayfrila, Angelina Alexandra; Cyntia, Wennie
HEARTY Vol 13 No 4 (2025): AGUSTUS
Publisher : Fakultas Ilmu Kesehatan, Universitas Ibn Khaldun, Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32832/hearty.v13i4.18897

Abstract

Integrating artificial intelligence (AI) into oral health has revolutionized diagnostics, treatment planning, and patient management. Despite its significant benefits, the adoption of AI introduces complex ethical and legal challenges that demand critical evaluation. This literature review explores AI applications' moral and legal implications in oral health, emphasizing patient privacy, data security, informed consent, and professional accountability. A systematic review of peer-reviewed journals and legal frameworks from 2016 to 2024 was conducted to analyze the current landscape. The findings highlight ethical dilemmas, including biases in AI algorithms, the need for equitable access to AI-based tools, and potential disruptions to dentist-patient relationships. Legal considerations, such as data protection laws and liability in AI-related errors, are also critically discussed. Addressing these challenges requires a collaborative approach involving healthcare professionals, legal experts, and policymakers. This review concludes that while AI holds transformative potential for oral health, addressing its ethical and legal challenges is essential to ensure responsible and sustainable implementation.
Necrotizing periodontal disease sebagai manifestasi dari post-COVID syndrome Setianingtyas, Dwi; Lukisari, Cane; Fauziah, Yessy Andriani
MKGK (Majalah Kedokteran Gigi Klinik) (Clinical Dental Journal) UGM Vol 11, No 2 (2025)
Publisher : Fakultas Kedokteran Gigi, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/mkgk.77736

Abstract

Penyintas COVID-19 rentan mengalami post-COVID syndrome meskipun telah dinyatakan sembuh atau negatif dari COVID-19. Organ yang terserang post-COVID syndrome antaralain paru, telinga, hidung dan tenggorokan serta rongga mulut. Studi kasus ini melaporkan tatalaksana terintegrasi kasus necrotizing periodontal disease yang merupakan manifestasi post-COVID syndrome. Kasus terjadi pada wanita usia 25 tahun dengan keluhan gusi regio 23 mengalami kerusakan yang menyebabkan tulang penyangga gigi terekspose yang makin lama makin meluas disertai gigi goyah. Pasien dinyatakan terpapar COVID-19 pada 11 bulan sebelumnya. Kulit wajah serta seluruh tangan dan kaki tampak bercak merah. Keadaan umum pasien baik, namun terlihat kurus. Radiografi panoramik digunakan untuk memeriksa kondisi jaringan penyangga gigi. Gigi 23 direncanakan untuk diekstraksi sehingga pasien menjalani pemeriksaan darah lengkap dan tes autoimun. Pasien dicurigai mengalami gangguan sistemik, sehingga selanjutnya dilakukan tes human immunodeficiency virus (HIV), pemeriksaan CD4, serta screening hepatitis dan PCR, karena pasien diduga terpapar COVID-19 yang berulang. Tatalaksana selanjutnya pasien di-swab di sekitar regio 23 untuk memastikan peran mikroorganisme dengan dugaan acute necrotizing ulcerative periodontitis (ANUP). Seluruh hasil pemeriksaan menunjukkan kondisi dalam batas normal, dengan hasil swab menunjukkan temuan Klebsiella oxytoca. Tindakan bedah pada kasus post-COVID syndrome memerlukan beberapa pemeriksaan penunjang secara cermat dan perlu kolaborasi yang melibatkan berbagai multidisiplin ilmu. Diagnosis akhir pada kasus ini adalah necrotizing periodontal disease sebagai manifestasi post-COVID syndrome yang dipicu oleh badai sitokin dalam rongga mulut. Diagnosis iniditegakkan berdasarkan elaborasi penelusuran kemungkinan beberapa diagnosis. Pemeriksaan komprehensif yang teliti sangat diperlukan pada penanganan kasus yang langka dan sulit untuk mencegah terjadi komplikasi.
TRAINING OF TRAINERS FOR KADER SURABAYA HEBAT (KSH) IN RATIONAL ANTIBIOTIC USE FOR DENTISTRY AT PUSKESMAS PEGIRIAN Fauziah, Yessy Andriani; Darmadi, Eveline Yulia; Widjaja, Jennifer; Ameliana, Yemy; Ritunga, Imelda
Abdi Dosen : Jurnal Pengabdian Pada Masyarakat Vol. 9 No. 3 (2025): SEPTEMBER
Publisher : LPPM Univ. Ibn Khaldun Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32832/abdidos.v9i3.3060

Abstract

The irrational use of antibiotics in dentistry, including self-medication, incomplete treatment, and inappropriate prescriptions, remains a major public health concern that contributes to antimicrobial resistance. At the same time, many communities lack sufficient access to accurate information on the proper use of antibiotics in dental care. Situation analysis at Puskesmas Pegirian highlighted that Kader Surabaya Hebat (KSH) play a central role in health promotion but require greater knowledge and confidence to educate the public on rational antibiotic practices. To address this gap, a Training of Trainers program was designed and implemented with KSH as participants. The training combined health counseling sessions, interactive discussions, and practical demonstrations focused on the importance of rational antibiotic use in dentistry. To evaluate the effectiveness of the program, participants completed a pre-test before the training and a post-test after the sessions. The results showed a clear improvement in knowledge and awareness, with KSH reporting stronger confidence to deliver educational messages within their communities. This initiative demonstrates that targeted training supported by measurable evaluation can effectively strengthen the role of KSH. The conclusion emphasizes that investing in KSH capacity is a sustainable strategy to promote rational antibiotic use in dentistry at the community level.
Co-Authors Adityatama, Anneke Paramita Agis Susanti, Dany Agustia, Lita Ahmad Yudianto Alhadad, Husin Alvin, Jonatan Deriano Arya Brahmanta, Arya Aulia Dwi Maharani Aulia, Della Ayu R, Dyah Budi Teguh, Paulus Budi, Nasya Kamila Mutiara Budiharjo, Adrianto Cane Lukisari, Cane Cyntia, Wennie Damayanti, Desak Made Feby Dian Agustin Wahjuningrum Dwi Budi Santoso Dwi Setianingtyas Elizabeth Pranoto, Amelia Eveline Yulia Darmadi Fauzia, Bunga Goenharto, Aurelia Hadinata, Yongki Holanda, Ghita Hadi Ida Bagus Narmada Imelda Ritunga Jennifer Widjaja Kharinna Widowati, Kharinna Kristanti Parisihni Lelyana, Nora Mayfrila, Angelina Alexandra Nurfitri Amaliah Nurwachid, Achmad Pambudi Rahardjo Pinasti, Restika Anindya Prawira Utama, Yudhistira Ramadhani, Salma Sanjaya, Maria Laurentia Setyabudi Sularsih, S Susanto, Dany Agus Sutikno, Antonius Edwin Syamsulina Revianti Tsurayya, Nur Utama, Yudhistira Prawira Wahjuningrum, , Dian Agustin Widyasri Prananingrum Yemy Ameliana Yemy Ameliana, Yemy