Jayachandra Bhumireddy

Dr. Jayachandra Bhumireddy

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Research Focus & Metrics

Academic Career Length

6Years (2021-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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Sreekanth Kumar MallineniSreekanth Kumar Mallineni
Sreekanth Kumar Mallineni
SNSivakumar Nuvvula
Sivakumar Nuvvula
JBJayachandra Bhumireddy
Jayachandra Bhumireddy
AIAhmad Faisal Ismail
Ahmad Faisal Ismail
PVPriya Verma
Priya Verma
SNSrinivas Namineni
Srinivas Namineni
Aim: To assess the knowledge and perceptions of COVID-19 among pediatric dentists based on their dependent source of information. Methods: A descriptive-analytical cross-sectional survey using a self-administered questionnaire with 23 questions was sent via Google forms to pediatric dentists. All participants were divided into three groups [postgraduate residents (PGs), private practitioners (PP), and faculty (F)]. The comparison of knowledge and perception scores was made based on occupation, source of information, and descriptive statistics used for the analysis using SPSS 21.0 (IBM, Armonk, NY, USA). Results: A total of 291 pediatric dentists completed the survey, and the majority of them were females (65%). Overall, good mean scores were obtained for knowledge (9.2 ± 1.07) and perceptions (5.6 ± 1.5). The majority of the participants used health authorities (45%) to obtain updates on COVID-19, while social media (35.1%) and both (19.6%) accounted for the next two. A statistically significant difference (p < 0.05) was found among different pediatric dentists groups for relying on the source of information. Conclusion: Overall good pediatric dentists showed sufficient knowledge regarding COVID-19. The pediatric dentists’ age, occupation, and source of information influenced knowledge regarding COVID-19, whereas perceptions were influenced by age and gender of the participants. Health authorities successfully educated pediatric dentists than the social media

1 January 2023
Verified
Journal Article
Closed access
JBJayachandra Bhumireddy
Jayachandra Bhumireddy
ASAnpam Saha
Anpam Saha
MNMahesh Nunna
Mahesh Nunna
APAnil Kumar Patil
Anil Kumar Patil
The most common chronic childhood illnesses are oral ones, a severe public health concern for children of all ages in developing and industrialized nations. Early detection and treatment of these disorders are essential for a child's dental health and overall well-being. Recently, the area of pediatric dentistry has made extensive use of artificial intelligence (AI). This systematic review aims to evaluate the effectiveness of artificial intelligence models created for use in pediatric dentistry (PD).

1 January 2023
Verified
Journal Article
Closed access
APAnil Kumar Patil
Anil Kumar Patil
ASAnpam Saha
Anpam Saha
MNMahesh Nunna
Mahesh Nunna
JBJayachandra Bhumireddy
Jayachandra Bhumireddy