Clinical Computing in Dentistry

Machines can seldom replace dentists in rightly handling the patients with optimistic human insight, considerations, creative planning and the monitoring of psychological acceptance and comfort experienced by any patient with the rehabilitation done. Intelligent computer related armamentarium with software can still help dental practitioners detect typical medical and dental signs and classify them according to certain rules more effectively. Based on image analysis algorithms, CAD systems can be used to look for signs of any tooth pathology that can be spotted in dental X-ray or cone beam computed tomography (CBCT) images. Applying computer vision algorithms to high-resolution CBCT slices helps to a great extent in diagnosing periapical lesions like granulomas, cysts, etc., and can help creating 3-D model of a root canal that reflects its shape with sufficient precision facilitating an optimum endodontic treatment planning. Hence, computer vision systems are already able to speed up the diagnostic process and provide a valuable second opinion in doubtful cases. This can lead a dentist and the patient thoroughly experience an optimistic acceptance and satisfaction of the treatment done

Estimation of the mechanical properties of PRF in the implant surgery: An original research

Introduction: In many oral procedures that involve the implants, hair implantations, “Platelet-Rich Fibrin Membrane (PRF)” is commonly applied. The advantages are many. In this study, the mechanical resistance of PRF under resistance pull on a longitudinal axis was assessed and compared. Material and Methods: For the current in vitro study, 60 volunteers donated each 10 ml of their blood and hence a total volume of 600 ml of blood was procured that was analyzed for the current study. The total volume was grouped to three groups where they receive three resistance centrifugation forces of “F-200,600,800 m/s2.” In each group, 20 samples were tested for each level of the G-resistance. Each group was further divided as two subgroups of different times of wait, where they were centrifuged at baseline time and after a stand of 30 minutes. On universal testing equipment, the PRF membranes were mechanically tensioned in order to determine each membrane's resistance force. These values were compared for any statistical variance using appropriate statistical tools keeping P < 0.05. Results: Any applied force had no statistically significant effect on the centrifugation duration for membrane resistance. When the resistance was applied for the PRP samples immediately after they were procured, no significant variation was seen at all the grades of the centrifugation forces; consequently, the T30 group showed a statistically significant variance for the centrifugation forces applied (P = 0.04), with the highest value when the greatest force was applied. According to the results, the centrifugation waiting period could be determined based on the application requirement. Conclusion: For immediate membrane usage, the centrifugation had no effect on resistance; however, after 30 minutes, a membrane with greater resistance was produced by applying more force

Abstracts of AICTE Sponsored International Conference on Post-COVID Symptoms and Complications in Health

This book presents the selected abstracts of the International Conference on Post-COVID Symptoms and Complications in Health, hosted from the 28th to 29th of April 2022 in virtual mode by the LR Institute of Pharmacy, Solan (H.P.)-173223 in Collaboration with AICTE, New Delhi. This conference focuses on the implications of long-term symptoms on public health, ways to mitigate these complications, improve understanding of the disease process in COVID-19 patients, use of computational methods and artificial intelligence in predicting complications, and the role of various drug delivery systems in combating the complications. Conference Title:  International Conference on Post-COVID Symptoms and Complications in HealthConference Sponsor: AICTE, New Delhi.Conference Date: 28-29 April 2022Conference Location: OnlineConference Organizer: LR Institute of Pharmacy, Solan (H.P.)-173223

Abstracts of AICTE Sponsored International Conference on Post-COVID Symptoms and Complications in Health

This book presents the selected abstracts of the International Conference on Post-COVID Symptoms and Complications in Health, hosted from the 28th to 29th of April 2022 in virtual mode by the LR Institute of Pharmacy, Solan (H.P.)-173223 in Collaboration with AICTE, New Delhi. This conference focuses on the implications of long-term symptoms on public health, ways to mitigate these complications, improve understanding of the disease process in COVID-19 patients, use of computational methods and artificial intelligence in predicting complications, and the role of various drug delivery systems in combating the complications. Conference Title:  International Conference on Post-COVID Symptoms and Complications in HealthConference Sponsor: AICTE, New Delhi.Conference Date: 28-29 April 2022Conference Location: OnlineConference Organizer: LR Institute of Pharmacy, Solan (H.P.)-173223