Booster of IoMT in Diagnostics and Disease Screening

Advances in healthcare information systems and administration book series, Journal Year: 2025, Volume and Issue: unknown, P. 243 - 266

Published: Jan. 17, 2025

The global landscape of healthcare is witnessing a transformative shift with the integration artificial intelligence (AI) in disease screening and pandemic outbreak management. Disease serves as critical component proactive healthcare, enabling early detection intervention. Traditional methods, while effective, often face limitations terms scalability, speed, accuracy. emergence AI has opened new avenues for enhancing processes, allowing more efficient precise identification potential health threats. These technologies enable professionals to analyze vast datasets quickly accurately, facilitating diagnosis This chapter explores various dimensions evolving role prioritizing managing outbreaks, focus on innovative approaches mass vaccine scattering. management holds immense promise future healthcare.

Language: Английский

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Role of Digital Marketing Tactics in Enhancing Financial Performance in E-Commerce Enterprises

Advances in computational intelligence and robotics book series, Journal Year: 2025, Volume and Issue: unknown, P. 257 - 282

Published: Feb. 28, 2025

In recent years, the exponential growth of e-commerce has revolutionized how businesses operate and interact with consumers. This surge in online shopping been accompanied by a parallel rise digital marketing strategies employed companies to attract, engage, retain customers. Digital encompasses various techniques, including search engine optimization (SEO), social media marketing, content email pay-per-click advertising. The effectiveness these enhancing company's financial performance become subject significant interest scrutiny. Companies can boost their bottom line achieve greater profitability reducing customer acquisition costs, increasing lifetime value, improving overall efficiency. E-commerce could better reach target audience on channels brand visibility driving traffic websites.

Language: Английский

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AI and ML Applications in Wildlife Conservation and Forest Management

Advances in environmental engineering and green technologies book series, Journal Year: 2024, Volume and Issue: unknown, P. 49 - 68

Published: Nov. 29, 2024

AI and ML have opened new avenues into wildlife conservation, linking efforts worldwide to improve forest management. However, a comprehensive review highlights the manifold applications of these technologies for biodiversity conservation natural resource These are automated species identification population monitoring predict habitat degradation anti-poaching strategies, all contributing immensely preservation Wildlife. This chapter outlines how AI-powered drones sensor networks can quickly monitor environments, find illegal actions as they happen, collect reams data on behavior. It also explores opportunities algorithms study intricate ecological inter-relationships, climate change effects & optimize restoration management activities. provide roadmap great promise that emergent hold in providing configurations Wildlife Conservation Forest Management promote Sustainable future.

Language: Английский

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Exploring the Biological Relevance of Fused S-Heterocycle Phenothiazine Derivatives

Advances in bioinformatics and biomedical engineering book series, Journal Year: 2024, Volume and Issue: unknown, P. 373 - 396

Published: Nov. 27, 2024

Phenothiazine and its derivatives have attracted a noteworthy attention within the medicinal chemistry' domain ascribed to varied pharmacological activities possible medically-beneficial applications. Fused S-heterocycle being most promising among all has displayed showcased results in numerous biological evaluations. Phenothiazines are one of class compounds categorized by tricyclic structure which is comprised central thiazine ring merged with two benzene rings. Such rings incorporate presence sulphur atoms acts as catalyst undergo various substitutions on that eventually versatility phenothiazines. The chapter focuses holistic understanding relevance fused s-heterocycle phenothiazine would highlight elucidate potential derivative's development therapeutic agent.

Language: Английский

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Discovering Advances in Using Artificial Techniques (AI) Techniques to Understand and Manage Wildfires

Advances in environmental engineering and green technologies book series, Journal Year: 2024, Volume and Issue: unknown, P. 93 - 112

Published: Nov. 29, 2024

Wildfires are a naturally occurring event but recent progress and usage of AI to enhance their monitoring mitigation is revolutionizing the ability predict, monitor, understand as well mitigate these natural disasters. This kind fine-granular analysis satellite images, weather parameters historical fire data using techniques which includes machine learning deep can help accurately predict how forest-fire will behave spread. They strengthened early warning systems, leading more efficient placement firefighting equipment evacuation plans. AI-based models evaluate environmental consequences post-fire recovery in relation vegetation regrowth ecosystem status. chapter focuses on continuing intended, its capabilities be utilized resilience against wildfires - helping protect human communities nature from extinction by fire.

Language: Английский

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Role of Machine Learning and Deep Learning in Forest Management Through Data Analytics

Advances in environmental engineering and green technologies book series, Journal Year: 2024, Volume and Issue: unknown, P. 247 - 272

Published: Nov. 29, 2024

Everyone must create a good framework to handle environmental, financial, and social issues if we are move towards sustainability. Many researchers have used artificial intelligence (AI) machine learning forward sustainable development goals by building highly efficient system that supports circular economy aligns the needs of current generation while safeguarding capacities future generations. Artificial has made significant progress in recent years, leading changes various industries including healthcare, transportation, agriculture, energy, media. This paper offers comprehensive analysis junction between sustainability together with several possible directions for next investigation.

Language: Английский

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Wildlife and Forest Resource Management With Artificial Intelligence

Advances in environmental engineering and green technologies book series, Journal Year: 2024, Volume and Issue: unknown, P. 301 - 324

Published: Nov. 29, 2024

The incorporation if AI in the management of wildlife and forest assets can transform conservation challenges by providing new ways to protect biodiversity ensure ecosystem sustainability. Machine learning, computer vision other technologies are monitor populations with high accuracy. These include tools that enable analyses vast datasets collected from remotely sensed including drones, satellite imagery for real-time dynamics. Though provides many benefits, there numerous issues must be tackled around all things data privacy ethical considerations necessity a transactional or multi-disciplinary attempt on it. This chapter comprehensively explores used sustainable resources humans thought they might not manage forever because it is important keep them alive.

Language: Английский

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Cruising Deep Convolution Neural Networks (DCNN) and Internet of Medical Things (IoMT) Fostering Smart Healthcare

Advances in healthcare information systems and administration book series, Journal Year: 2024, Volume and Issue: unknown, P. 211 - 240

Published: Dec. 13, 2024

Deep Convolutional Neural Networks (DCNN) enable smart healthcare by way of internet connected medical devices referred to as the Internet Of Medical Things (IoMT) in modern day medicine Through integration intelligent sensors, wearables and equipment well its application long-term real-time patient health monitoring IoMT is enabling continuous care coupled with predictive analytics. It enables physicians other team members make better informed, more timely treatment decisions tailored for specific order keep them out hospital. The use both these technologies together creating a new era remote management, topic illness surveillance prevention which help improving overall proactive approach patients would will prove results over accessibility, efficiency control making every individual healthier.

Language: Английский

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Artificial Intelligence (AI) in the Digital Healthcare and Medical Industry

Advances in healthcare information systems and administration book series, Journal Year: 2024, Volume and Issue: unknown, P. 161 - 188

Published: Dec. 13, 2024

The healthcare and medicine industries are being shaped by Artificial Intelligence (AI), which is changing the game in everything from patient care to diagnostics, as well treatment. AI-driven tools can help increase accuracy of a diagnosis, detecting subtle patterns troves medical data (of we have historical access) or spotting changes precisely on an imaging study beyond what humans capable. These applications include predicting disease progression risk assessment, abnormality detection images recommendation personalized treatments based individual trips. By using AI-powered NLP, for example clinicians automate much their administrative recordkeeping insurance claims so they may concentrate care. AI analyzes chemical structures predicts drug interactions pharmaceutical sector speed up discovery development, cutting time cycles down while diminishing costs.

Language: Английский

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Limitless Possibilities of Augmented-Virtual Reality, Smart Wearable, and Intelligent Systems for Healthcare

Advances in medical technologies and clinical practice book series, Journal Year: 2024, Volume and Issue: unknown, P. 115 - 136

Published: Sept. 20, 2024

The healthcare landscape is undergoing a profound transformation with the integration of cutting-edge technologies such as Augmented Reality (AR), Virtual (VR), Smart Wearables and Intelligent Systems. Autonomous Robotics reshaping delivery by introducing automation into various aspects patient care. Robotic systems are being used to assist or even perform complex procedures precision minimal invasiveness. This continuous data stream enhances early detection health issues supports proactive interventions. incorporation Reality, Systems which coupled rise Robotics, heralds new era in healthcare. futuristic ecosystem characterized precision, personalization autonomy, where technology seamlessly integrates care, diagnostics treatment. chapter explores junction these emphasizing role autonomous robotics shaping future

Language: Английский

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