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Background: Dental implants have reorganized the field of renewing dentistry by providing a greatly successful and authentic surgery option for the patients with missing teeth. Surface characteristics of the implant are very vital for the success of the implant. This greatly affects the osseointegration and long term stability. Study design: It is a prospective study conducted at Lady Reading Hospital, MTI, Peshawar and Altamash Institute of Dental Medicine, Karachi for the duration of one year from December 2021 to November 2022. Material and Methods: The study was done on patients visiting the tertiary care unit for a period of one year. There were 12 male and 13 female patients that participated in the study. The average age of patients was 56 years in case of men and 53 years for women. The data of number of implants was also analyzed and 12 patients went for 2 implants and 13 patients opted for 3 implants. The study was approved by the review and ethical board committee of the hospital. Results: The ISQ score of the patients that had two implants was 68.5±4.3, whereas the patients who went through 3 implants had ISQ score as 72.1±4.5. Those who had molar region implanted had ISQ score 72.1±2.1, while premolar patients had ISQ score as 72.3±3.1. Acid itching group had ISQ score as 68.4±2.4, the LASER group had ISQ score as 73.4±2.4. Conclusion: After the comparison of different implant surfaces used in human edentulous mandibles treatment. It was concluded that the LASER+HA and LASER are the most effective method for implants. These methods accelerates the Osseointegration process. Keywords: Dental implants and edentulous mandibles.

Objective: This study aimed to determine if there was a significant difference in root canal obturation quality between single-rooted teeth produced using a manual approach and those prepared using a rotational method, as determined by intraoral periapical radiographs. Study Design: Randomized control trial Place and Duration: This randomized study was conducted at Bakhtawaramin Medical and Dental College during in the period from April, 2022 to September, 2022. Methods: Total 80 patients of both genders were presented. All the included cases had single rooted teeth. Age, gender, and residence were some of the detailed demographic information that was documented after getting informed written consent. Patients were equally divided in two groups. Group I underwent manual root canal treatment in 40 cases while in group II rotary endodontic preparation. Outcomes among both groups were recorded in terms of quality of root canal filling. SPSS 23.0 was used to analyze all data. Results: There were 45 (56.3%) females and 35 (43.7%) males. Mean age of the patients in group I was 33.3±8.35 years and in group II mean age was 34.9±7.23 years. We did not find any significant difference in root canal filling and homogeneity among both groups. Group II showed a significantly good results of T score as compared to group I with p value

Objective: The primary objective of this research is to evaluate the mortality rates from coronavirus infection among healthcare workers against those in the general population. Study Design: Comparative/Retrospective study Place and Duration: Medical Unit Ward and Emergency Department, Ayub Medical College Abbottabad, July, 2021 to Dec, 2021. Methods: 190 coronavirus-infected patients of both sexes participated. 20-65-year-old patients were enrolled. All cases gave written consent for age, sex, BMI, socioeconomic status, and domicile. Patients were symptomatic and asymptomatic. Group A had 95 cases of general population and in group B 95 were health workers. In coronavirus ward patients were observed for recovery. Outcomes were ICU hospitalization, need of ventilation, and mortality rates were compared. We analyzed data with SPSS 20.0. Results: We found that majority of the patients among both groups were asymptomatic 55 (57.9%) in group A and 59 (62.1%) in group B. Most common comorbidities were HTN, DM and IHD. Use of preventive measures in group A 35 (36.8%) was lower as compared to group B 70 (73.75) with p value

Aim: To determine the denture cleaning routine and habits in complete denture wearers according to cleaning frequency, patient age and life of dentures. Methods: In this cross-sectional study, a self-administered questionnaire was designed to learn about patient’s attitudes toward denture cleanliness in the Prosthodontics department. A detailed questionnaire was applied for total 130 patients visiting the Department of Prosthodontics in the Rehmat memorial postgraduate hospital Abbottabad for follow-up care. Data was recorded and analysed by using SPSS version 15.0 for results. Results: Total 130 participants including 90 males (69.3%) and 40 females (30.7%). 48.6% of participants clean their dentures every day, 32.9% once a week, and 18.5 % only occasionally. The highest percentage is seen in Group 1, which is 41.2%. Approximately 77% of Group 2 participants clean their dentures at least once a week, including both daily and once-a-week denture wearers. 71 individuals had been wearing dentures for 3-5 years. 41.2% of them clean their dentures every day, while 58.6 percent clean them twice a week. 6-8 years denture wearers do not clean them on a regular basis. Most patients 42% use only water, while 30% use a combination of water and a toothbrush. Around 20% of participants used soap and water, but only 8% of denture wearers utilised cleansing tablets in addition to water. There was significant difference among all groups (P=0.001). Conclusion: In this study it has been observed that full denture patients have trouble cleansing their dentures. A lack of regular cleaning practises and decreased use of cleaning solutions is the primary cause of poor denture hygiene among the seniors. Dentists should educate patients regarding optimal denture maintenance and materials used for cleaning verbally and in written form. Keywords: Denture Complete Denture hygiene, cleansing Habits, Denture cleaning solution.

Objective: The purpose of this study was to perform cone beam computed tomography (CBCT) to assess the frequency of mandibular second molars with C-shaped root canals in a population living in Pakistan. Study Design: Retrospective study Place and Duration: This retrospective study was conducted at Bakhtawar Amin Medical and Dental College during in the period from June, 2022 to November, 2022. Methods: Total 118 patients were presented with mandibular second molars scheduled for root canal treatment. CBCT scans of patients from diagnostic imaging center were selected. C-shaped root canals were determined by radiographic method using Fan’s criteria. The frequency and distribution of canals and their configuration along with the position of lingual/buccal grooves in the images were evaluated. SPSS 22.0 was used to analyze all data. Results: There were majority 72 (61.02%) females and 46 (38.98%) were males in this study. In our study mean age of the patients was 26.16±13.74 years. Frequency of C-shaped mandibular second molars was found in 12 (10.2%) cases. Among 12 cases, majority of the C-shaped root canals found in right side 7 (5.9%) and 5 (4.2%) C-shaped root canals found in left side. Majority of the C-shaped root canals found in females. Frequency of buccal groove among C-shaped root canals was 6 followed by both buccal and lingual groove in 4 and only lingual groove in 2 cases. Conclusion: According to CBCT analysis, 10.2% of second molars exhibited C-shaped canals. These teeth stood out due to the presence of a deep buccal groove. Right-sided mandibular second molar presence was statistically significant (P = 0.016), according to the data. Keywords: CBCT, Mandibular Second Molars, C-shaped canals, Buccal Groove

Background: There is increasing interest regarding the role of artificial intelligence and machine learning in medical education and the studies revealed about existing gap in knowledge and application of artificial intelligence. The aim of current study was to find out the perception of medical faculty members about artificial intelligence in medical education and the level of awareness regarding the basic concepts of artificial intelligence. Methods: A qualitative exploratory approach was conducted. A self-designed, self-explanatory questionnaire was used. The questionnaire was disseminated using google form. The link of the questionnaire was emailed to the chosen faculty members and appointment for the telephonic interview was taken. On the given date and time, they were called for the telephonic interviews and the calls were recorded. After recording all the calls, the data was transcribed from each recorded phone call. After transcription the data was coded and themes were identified for final analysis. Results: Majority of participants explained artificial intelligence as an advance data calculator while some were not aware of practical applications of artificial intelligence in the field of medicine. Majority of participants recommended that medical curriculum should be revised with incorporation of basic concepts of artificial intelligence based-medical education and computer education along with it. Workshops and seminars, CME on artificial intelligence to be conducted as a part of regular faculty development programs. Many participants predicted that healthcare professionals will be replaced with the artificial intelligence based computer programs for the diagnosis of diseases in the future. Conclusion: Current study made an important observation that there was the lack of conceptual knowledge about artificial intelligence and its applications, it could be due to the fact that the healthcare providers are more focused towards their own subject specialties, that leaves them with less time in exploring the computer based technologies. Keywords: Artificial intelligence, Healthcare system, Medical education