Awareness About Artificial Intelligence Among Dental Practitioners And Dental Students DOI Creative Commons

Naveen Gokul R,

K Murugesan,

S K

et al.

JOURNAL OF CLINICAL PROSTHODONTICS AND IMPLANTOLOGY, Journal Year: 2024, Volume and Issue: 6(2), P. 60 - 66

Published: Oct. 18, 2024

BACKGROUND Artificial intelligence (AI) is defined as acquisition of by computers or machines to perform complex tasks that generally require human intelligence. Nowadays usage AI in various fields appreciated because its time effectiveness and less laborious.In dentistry, has been trending, specifically diagnostic imaging early detection diseases,benefiting both dental graduates practitioners. AIM The main aim assess the awareness an effective tool among trainees MATERIALS AND METHOD An online cross-sectional survey was conducted practitioners institutions. A Google questionnaire form developed circulated participant’s about dentistry. Data were collected Microsoft excel statistical analysis performed. RESULTS More than 60% participants showed confidence their familiarity towards dentistry (p<0.01197). Among those, 60.5% answered they are well aware ChatGPT 28% them Bing (p<0.04395). 53% machine learning important (p<0.00216). Over advantages AI, 43% believed can improve diagnostics, access disease screening, cost effectiveness, reduced treatment (p<0.0001) agreed be useful day-to-day practices (p<0.0001). CONCLUSION present study shows fraternity satisfactory. field emerging rapidly other new applications being utilised. could act a valuable supporting clinicians delivering care supplementing education for trainees. To enhance future curriculum needs approachable enough hands-on-training essential. KEYWORDS:artificial intelligence, chatbots, caries, radiographic diagnosis, teledentistry.

Language: Английский

Medical students’ attitudes toward AI in education: perception, effectiveness, and its credibility DOI Creative Commons

Abdul Sami,

Fateema Tanveer,

Khadeejah Sajwani

et al.

BMC Medical Education, Journal Year: 2025, Volume and Issue: 25(1)

Published: Jan. 17, 2025

The rapid advancement of artificial intelligence (AI) has revolutionized both medical education and healthcare by delivering innovative tools that enhance learning improve overall outcomes. study aimed to assess students' perceptions regarding the credibility effectiveness AI as a tool explore dynamics integrating in education. A cross-sectional was carried out across colleges Pakistan. 26-question survey developed using Google Forms from previously validated studies. assessed demographics participants, basic understanding AI, socio-ethical impacts use AI. data analyzed SPSS (v 26.0) derive descriptive inferential statistics. total 702 students aged 18 26 years (mean age 20.50 ± 1.6 years) participated study. findings revealed generally favorable attitude towards among (80.3%), with majority considering it an effective (60.8%) credible (58.4%) Students agreed optimized their time (60.3%) provided up-to-date information (63.1%). Notably, 65.7% found more efficient helping them grasp concepts compared traditional like books lectures, while 66.8% reported receiving accurate answers inquiries through highlighted view becoming increasingly outdated (59%), emphasizing importance into creating dedicated (80%) for This demonstrated is education, offering personalized experiences improved educational are learn cutting down on study-time, providing answers, ultimately improving We recommend developing formal integration curricula, along appropriate regulatory oversight ensure can human abilities rather than acting replacement humans.

Language: Английский

Citations

3
Generative AI, Research Ethics, and Higher Education Research: Insights from a Scientometric Analysis DOI Creative Commons
Saba Qadhi, Ahmed Alduais, Youmen Chaaban

et al.

Information, Journal Year: 2024, Volume and Issue: 15(6), P. 325 - 325

Published: June 2, 2024

In the digital age, intersection of artificial intelligence (AI) and higher education (HE) poses novel ethical considerations, necessitating a comprehensive exploration this multifaceted relationship. This study aims to quantify characterize current research trends critically assess discourse on AI applications within HE. Employing mixed-methods design, we integrated quantitative data from Web Science, Scopus, Lens databases with qualitative insights selected studies perform scientometric content analyses, yielding nuanced landscape utilization in Our results identified vital areas through citation bursts, keyword co-occurrence, thematic clusters. We provided conceptual model for integration HE, encapsulating dichotomous perspectives AI’s role education. Three clusters were identified: frameworks policy development, academic integrity creation, student interaction AI. The concludes that, while offers substantial benefits educational advancement, it also brings challenges that necessitate vigilant governance uphold standards. implications extend policymakers, educators, developers, highlighting need guidelines, literacy, human-centered tools.

Language: Английский

Citations

13
The Transformative Role of Artificial Intelligence in Dentistry: A Comprehensive Overview Part 2: The Promise and Perils, and the International Dental Federation Communique DOI Creative Commons
Nozimjon Tuygunov,

Lakshman P. Samaranayake,

Zohaib Khurshid

et al.

International Dental Journal, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 1, 2025

In the final part of this two article on artificial intelligence (AI) in dentistry we review its transformative role, focusing AI dental education, patient communications, challenges integration, strategies to overcome barriers, ethical considerations, and finally, recently released International Dental Federation (FDI) Communique (white paper) Dentistry. education is highlighted for potential enhancing theoretical practical dimensions, including telemonitoring virtual training ecosystems. Challenges integration are outlined, such as data availability, bias, human accountability. Strategies these include promoting literacy, establishing regulations, specific implementations. Ethical considerations within dentistry, privacy algorithm emphasized. The need clear guidelines ongoing evaluation systems crucial. FDI White Paper Dentistry provides insights into significance oral care, research, along with standards governance. It discusses AI's impact individual patients, community health, research. paper addresses biases, limited generalizability, accessibility, regulatory requirements practice. conclusion, plays a significant role modern offering benefits diagnosis, treatment planning, decision-making. While facing challenges, strategic initiatives targeted implementations can help barriers maximize dentistry. essential ensuring responsible, effective efficacious deployment technologies ecosystem.

Language: Английский

Citations

1
Implementing and Evaluating Interprofessional Education for Dental Students: A Narrative Review DOI Creative Commons
Ahmed Yaseen Alqutaibi, Mohamed M. Rahhal, Rawda Awad

et al.

European Journal of Dentistry, Journal Year: 2025, Volume and Issue: unknown

Published: March 13, 2025

Abstract Interprofessional education (IPE) and interprofessional collaborative practice are widely recognized for improving health care patient outcomes, especially in dentistry. Due to the strong link between oral overall health, integrating IPE into dental curricula is essential preparing practitioners deliver collaborative, patient-centered care. A robust curriculum students requires well-defined learning outcomes aligned with other professions a focus on skills like care, communication, teamwork. This review examines design, implementation, its impact students, evaluating both short- long-term effects career preparedness. By analyzing current practices, this seeks illuminate effective strategies future directions collaboration training.

Language: Английский

Citations

1
Performance of ChatGPT 3.5 and 4 on U.S. dental examinations: the INBDE, ADAT, and DAT DOI Creative Commons
Mahmood Dashti, Shohreh Ghasemi, Niloofar Ghadimi

et al.

Imaging Science in Dentistry, Journal Year: 2024, Volume and Issue: 54(3), P. 271 - 271

Published: Jan. 1, 2024

Recent advancements in artificial intelligence (AI), particularly tools such as ChatGPT developed by OpenAI, a U.S.-based AI research organization, have transformed the healthcare and education sectors. This study investigated effectiveness of answering dentistry exam questions, demonstrating its potential to enhance professional practice patient care.

Language: Английский

Citations

8
The Future of Oral Oncology: How Artificial Intelligence is Redefining Surgical Procedures and Patient Management DOI Creative Commons

Marwan Al‐Raeei

International Dental Journal, Journal Year: 2024, Volume and Issue: unknown

Published: Oct. 1, 2024

The future of oral oncology is significantly influenced by the incorporation artificial intelligence (AI) technologies, such as surgical robotics and early histopathological diagnosis detection diseases. This article aims to explore transformative effects AI on identification cancer, emphasising potential improvements in patient outcomes effectiveness treatment options.

Language: Английский

Citations

6
Unlocking the Potential: Investigating Dental Practitioners’ Willingness to Embrace Artificial Intelligence in Dental Practice DOI Open Access
R. P. Parameswari, Santosh Patil, Ali Azhar Dawasaz

et al.

Cureus, Journal Year: 2024, Volume and Issue: unknown

Published: Feb. 27, 2024

Background: Artificial intelligence (AI) holds significant promise for transforming healthcare delivery, including dentistry. However, the successful integration of AI into dental practice necessitates an understanding professionals' perspectives, attitudes, and readiness to adopt technology. This study aimed explore perceptions, practices regarding adoption in Methods: cross-sectional was conducted among 256 professionals using online questionnaire. Participants were assessed familiarity with technology, perceived barriers adoption, attitudes towards AI, current usage patterns, factors influencing decisions. Data are analysed descriptive statistics, frequencies, percentages, means, standard deviations. Inferential such as chi-square tests regression analysis, employed examine associations between variables identify predictors Results: The surveyed from various regions across India, primarily aged 30 50 years (mean age: 42.6), a nearly equal gender split (male: 48.4%, female: 51.6%) high educational attainment (67.8% master's or doctoral degrees). Private predominant (56.3%). diagnostic algorithms treatment planning software well known (77.3% 70.3% familiarity, respectively). Technical concerns (average score: 3.82 ± 0.68) main followed by financial considerations 3.45 0.72), ethical legal issues 3.21 0.65), organizational 3.67 0.71). Despite these concerns, most participants had positive (70.3% agreed). Current varied, support administrative tasks being common (44.5% 82.8% usage, Perceived utility 4.12 0.75) ease use 3.98 0.69) significantly influenced identified analysis (perceived utility: β = 0.342, p < 0.001; use: 0.267, 0.005). Conclusion: provides valuable insights dentistry, highlighting multifaceted nature facilitators that influence professionals’ Strategies promote should address practical considerations, needs facilitate technology practices.

Language: Английский

Citations

5
Understanding Occlusion and Temporomandibular Joint Function Using Deep Learning and Predictive Modeling DOI Creative Commons
Taseef Hasan Farook, James Dudley

Clinical and Experimental Dental Research, Journal Year: 2024, Volume and Issue: 10(6)

Published: Nov. 19, 2024

ABSTRACT Objectives Advancements in artificial intelligence (AI)‐driven predictive modeling dentistry are outpacing the clinical translation of research findings. Predictive uses statistical methods to anticipate norms related TMJ dynamics, complementing imaging modalities like cone beam computed tomography (CBCT) and magnetic resonance (MRI). Deep learning, a subset AI, helps quantify analyze complex hierarchical relationships occlusion function. This narrative review explores application deep learning identify trends associations Results Debates persist regarding best practices for managing occlusal factors temporomandibular joint (TMJ) function analysis while interpreting quantifying findings mitigating biases remain challenging. Data generated from noninvasive chairside tools such as jaw trackers, video tracking, 3D scanners with virtual articulators offer unique insights by predicting variations dynamic movement, TMJ, occlusion. The predictions help us understand highly individualized surrounding that often required address disorders (TMDs) general practice. Conclusions Normal function, occlusion, appropriate management TMDs continue attract ongoing debate. examines how aid understanding provides into dental conditions may improve diagnosis treatment outcomes techniques.

Language: Английский

Citations

4
Una revisión sistemática de estudios sobre IA: Aproximaciones desde la perspectiva del estudiantado DOI Creative Commons

Mónica Leticia López Chacón,

Juan Carlos Castellanos Ramírez, Shamaly Alhelí Niño Carrasco

et al.

European Public & Social Innovation Review, Journal Year: 2025, Volume and Issue: 10, P. 1 - 17

Published: Feb. 18, 2025

Introducción: El presente trabajo reporta una revisión sistemática de estudios publicados durante el año 2023 sobre la opinión del estudiantado en torno a Inteligencia Artificial (IA). Metodología: Se utilizó declaración reportes para revisiones sistemáticas y meta-análisis PRISMA 2020. Resultados: A partir aplicación criterios elegibilidad, fueron seleccionados 34 artículos su profundidad. identificó tendencia exploratorios exploratorio-descriptivos, con aplicaciones cuestionarios escala medir percepción, conocimiento o actitudes los estudiantes hacia IA. Discusión: Es evidente rápido desarrollo esta línea investigación, todo cuanto las variables percepción conocimiento. La uso IA es positiva, ya que piensan mejorará desempeño escolar, aprendizaje futuro ejercicio profesional, sin embargo, tienen necesita fortalecerse desde visión más académica. Conclusiones: Esta investigación muestra avances importantes muy corto tiempo, variable requiere mayor atención, puesto tiene potencial proporcionar información valiosa posibles barreras oportunidades integración

Citations

0
Exploring the Awareness and Application of Artificial Intelligence in Dentistry: A Cross-Sectional Analysis of Dentists and Patients DOI Open Access

Jai krishna Grosu,

Sreenivas Nagarakanti,

Tejasri Gudur

et al.

Cureus, Journal Year: 2025, Volume and Issue: unknown

Published: April 24, 2025

Language: Английский

Citations

0