Radio telemetry is being used in India to capture the location and movements of radio-collared wild animals. Radio telemetry data analysis has changed the scenario for wildlife conservation. It has provided many models and solutions for natural habitat utilization, genetic diversity, and even implementing green corridors for the species. Insights drawn from the data collected through radio telemetry from radio-collared animals have provided impactful information to understand the wild animal’s ecology. In the past few years, India has remarkably improved the population of tigers using telemetry studies and other conservation methods. In this study, a review of the telemetry studies conducted for tigers in India in the past decade has been presented. This study summarizes the telemetry studies of tigers in India and discusses how telemetry has enhanced the knowledge of ecologists and scientists to understand tiger ecology. This study also discusses the challenges and issues of conducting telemetry studies on tigers in India. Finally, the authors address the gaps in understanding the tiger’s ecology based on these studies and outline how radio telemetry can address these issues to better understand and conserve tigers.
Artificial intelligence (AI) is the intelligence of computers in a way that simulates human intellect by learning continually as more data is ingested. Many cutting-edge technological concepts, particularly those aimed at enhancing the general welfare of humanity, use AI. Due to its expanding importance in the general enhancement of human quality of life, the healthcare business has recently drawn a lot of attention from technology leaders. The enhancement of health through disease prevention, diagnosis, treatment, or cure is known as healthcare. AI in healthcare uses advanced analytics to identify solutions to problems by projecting results from medical and scientific experiments. AI can improve healthcare by making predictions, deciding what to do, and acting on those decisions. This chapter discusses the most recent advances in AI and how they are being used in the healthcare sector. It also explores the potential effects of AI on patients and healthcare professionals. The authors discuss the problems and difficulties with AI in healthcare as well as the current state of AI in healthcare.
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