Histological evaluation of thermal damage to Osteocytes: A comparative study of conventional and ultrasonic-assisted bone grinding

Babbar, Atul; Jain, Vivek; Gupta, Dheeraj; Agrawal, Deepak

doi:10.1016/j.medengphy.2021.01.009

Cited by 14 publications

(3 citation statements)

References 27 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…AI integration in sustainable energy systems raises several ethical and societal issues that must be carefully considered [131]. It is critical to ensure ethical and fair deployment, examining the consequences of AI technologies as they become increasingly integrated into decision-making processes and influence the energy landscape [132].…”

Section: Ethical and Social Challengesmentioning

confidence: 99%

Leveraging Artificial Intelligence for Enhanced Sustainable Energy Management

Kaur,

Kumar,

Singh

et al. 2024

JSE

View full text Add to dashboard Cite

The integration of Artificial Intelligence (AI) into sustainable energy management presents a transformative opportunity to elevate the sustainability, reliability, and efficiency of energy systems. This article conducts an exhaustive analysis of the critical aspects concerning the AI-sustainable energy nexus, encompassing the challenges in technological integration and the facilitation of intelligent decision-making processes pivotal for sustainable energy frameworks. It is demonstrated that AI applications, ranging from optimization algorithms to predictive analytics, possess a revolutionary capacity to bolster intelligent decision-making in sustainable energy. However, this integration is not without its challenges, which span technological complexities and socio-economic impacts. The article underscores the imperative for deploying AI in a manner that is transparent, equitable, and inclusive. Best practices and solutions are proposed to navigate these challenges effectively. Additionally, the discourse extends to recent advancements in AI, including edge computing, quantum computing, and explainable AI, offering insights into the evolving landscape of sustainable energy. Future research directions are delineated, emphasizing the importance of enhancing explainability, mitigating bias, advancing privacy-preserving techniques, examining socio-economic ramifications, exploring models of human-AI collaboration, fortifying security measures, and evaluating the impact of emerging technologies. This comprehensive analysis aims to inform academics, practitioners, and policymakers, guiding the creation of a resilient and sustainable energy future.

show abstract

Section: Ethical and Social Challengesmentioning

confidence: 99%

Leveraging Artificial Intelligence for Enhanced Sustainable Energy Management

Kaur,

Kumar,

Singh

et al. 2024

JSE

View full text Add to dashboard Cite

show abstract

“…To protect the surrounding neural tissues, neurosurgeons perform grinding operation manually and they feel certain kind of resistive force which helps them to decide when to stop grinding [3]. It is believed that thermogenesis starts at 43 ℃ and osteonecrosis at 47 ℃ [4]. Thermogenesis corresponds to the cell's damage owing to the rise in temperature during bone grinding.…”

Section: Introductionmentioning

confidence: 99%

“…Thermogenesis corresponds to the cell's damage owing to the rise in temperature during bone grinding. This thermogenesis causes damage to the lacunas present within the osteons of the bone matrix which in turn leads to the carbonization of the cells, thereby, failure of the bone's matrix [4]. In this view, controlling the temperature during bone grinding becomes of paramount importance.…”

Section: Introductionmentioning

confidence: 99%

Investigation of Infrared Thermography of Cortical Bone Grinding in Neurosurgery

Babbar¹,

Jain²,

Gupta³

et al. 2023

Adv. Sci. Technol. Res. J.

View full text Add to dashboard Cite

In this work, an effort has been made to determine the effect of different shape surgical burr on the thermogenesis during bone osteotomy. The abrasion during bone grinding leads to heat generation and subsequently rise in the temperature which may have adverse effects such as osteonecrosis, blood coagulation in the carotid artery, damage to sciatic nerves, and even loss of vision. So, mitigating the temperature rise during bone grinding is of paramount importance. Especially, in endoscopic endonasal approach (EEA) in which nasal passage is used for the inserting the grinding burr and reaching the target region. The miniature abrasion can significantly increase the temperature and hence leads to the thermal damage to nerves surrounding the temporal and frontal lobe. These parts of the brain controls movement, problem solving ability, behavior, personality mood, hearing, language, memory, speech, breathing, heart rate, consciousness etc. Furthermore, neurosurgeons rely on their personal surgical experience for estimating the temperature rise during grinding. However, this is much difficult for novice surgeons. Therefore, it becomes critically important to preserve the soft neural tissues and nerves amid bone grinding. To overcome these concerns, infrared thermography technique has been exploited to determine the possibility of thermogenesis during bone grinding by measuring the temperature rise and its distribution using infrared camera. All experiments have been carried at a constant set of process variables. The grinding zone is continuously flooded with the irrigating solution to remove the heat and bone debris away from the grinding site. It has been observed that convex tool shape generated lower maximum temperature i.e. 46.03 ℃ among all tools. The temperature produced by the convex tool is 12.06% lower than spherical tool, 33.39% lower than cylindrical tool, and 10.55% lower than tree-shape tool. The results showed that convex shape tool could prevent thermal necrosis in the bone as temperature caused (i.e. 46 ℃) was less than the threshold limit of osteonecrosis. Thermograms revealed that infrared thermography technique could be implemented for the in-vivo surgical operations for the measurement of temperature during bone grinding.

show abstract