Multi-Agent Models in Healthcare System Design DOI
Muhammad Usman Tariq

Advances in medical education, research, and ethics (AMERE) book series, Journal Year: 2024, Volume and Issue: unknown, P. 143 - 170

Published: June 30, 2024

The chapter delves into the pivotal role of multiagent models (MAS) in designing healthcare systems, addressing escalating complexity and interconnected nature inherent contemporary healthcare. Against historical progress explores fundamental principles architectural frameworks specifically tailored for MAS applications. It presents as dynamic adaptable solutions, offering an innovative framework tackling intricate challenges environments face. analyzes various applications system design, encompassing its impact on hospital management, patient care coordination, resource allocation, telemedicine. Through case studies examples, it elucidates how enhances efficiency, reduces costs, facilitates real-time delivery decision-making. Furthermore, critically examines implementing MAS, technical complexities, organizational hurdles, ethical considerations such privacy data security.

Language: Английский

Revolutionizing Diabetic Retinopathy Diagnostics and Therapy Through Artificial Intelligence DOI

R. S. M. Lakshmi Patibandla,

B. Tarakeswara Rao,

M. Ramakrishna Murty

et al.

Advances in healthcare information systems and administration book series, Journal Year: 2024, Volume and Issue: unknown, P. 136 - 155

Published: Feb. 9, 2024

Using artificial intelligence (AI) to its transformative advantage, the smart vision initiative represents a paradigm shift in diagnostics and treatment of diabetic retinopathy. The primary aim this is address all forms retinopathy using cutting-edge AI techniques, including deep neural networks machine learning. These advanced algorithms are designed for rapid precise diagnosis, enabling swift interventions prevent visual impairment by identifying intricate patterns that invisible human eye. Through identification complex eye, these guarantee quick accurate diagnosis. This early detection crucial as it allows immediate care, significantly reducing risk irreversible loss. sets stage future where no longer leads blindness, offering brighter, clearer, safer optical those affected condition.

Language: Английский

Citations

21

AI and IoT in Flood Forecasting and Mitigation DOI
Muhammad Usman Tariq

Advances in computational intelligence and robotics book series, Journal Year: 2024, Volume and Issue: unknown, P. 26 - 60

Published: May 6, 2024

This chapter outlines the complete way to deal with flood estimating and alleviation through mix of man-made brainpower (artificial intelligence) web things (IoT). Floods are among most pulverizing catastrophic events universally, requiring progressed techniques for expectation reaction. Computer-based intelligence IoT innovations offer promising arrangements by empowering precise estimating, constant observation, compelling relief measures. part investigates groundwork computer-based in calamity board, featuring their assembly upgraded information examination navigation. It digs into artificial models, such as profound learning AI expectation, alongside organization sensors gadgets continuous observing flood-inclined regions.

Language: Английский

Citations

21

Estimating Biosafety of Biodegradable Biomedical Materials From In Vitro Ion Tolerance Parameters and Toxicity of Nanomaterials in Brain DOI
Deniz Eren Erişen, Kadir Uludağ

Advances in healthcare information systems and administration book series, Journal Year: 2024, Volume and Issue: unknown, P. 201 - 221

Published: Feb. 9, 2024

Ensuring human health safety necessitates rigorous biosafety evaluations of substances and materials, particularly in the context in-vivo exposure. Biodegradable known for their natural decomposition capabilities through biological mechanisms, may exhibit toxicological profiles differing from non-biodegradable substances. Prior to application medical devices such as stents implants, it is imperative conduct thorough testing ascertain safety. This chapter aims provide a comprehensive assessment various biodegradable materials. The authors employ an integrative approach, combining in-vitro ion-tolerance assays with microanalysis techniques. dual methodology allows detailed evaluation materials' biocompatibility potential toxicity, focusing on nanomaterial-induced toxicity neural tissues. These findings offer critical insights into safe biomedical underpinning informed decision-making usage applications.

Language: Английский

Citations

18

Leading Smart Technologies and Innovations for E-Business 5.0 DOI
Muhammad Usman Tariq

Advances in e-business research series, Journal Year: 2024, Volume and Issue: unknown, P. 25 - 46

Published: July 17, 2024

The evolution of e-business has traversed various stages, each marked by distinct technological advancements. current epoch, commonly referred to as E-Business 5.0, signifies a paradigm shift characterized intelligent systems and interconnected ecosystems. Scholars in the field emphasize pivotal role smart technologies innovations shaping this new era. A substantial body research underscores transformative impact automation robotics 5.0. integration artificial intelligence (AI) machine learning (ML) been demonstrated significantly enhance operational efficiency. Robotic process (RPA), crucial component automation, not only streamlines routine tasks but also contributes coordinated responsive business processes. literature reveals that blockchain technology is foundational Its decentralized secure nature provides tamper-resistant platform for transactions, mitigating risks associated with data breaches fraudulent activities

Language: Английский

Citations

18

Long-Term Pandemic Management and the Need to Invest in Digital Transformation DOI
Kingsley Ofosu‐Ampong, Martin Wiredu Agyekum, Manuel B. Garcia

et al.

Advances in healthcare information systems and administration book series, Journal Year: 2024, Volume and Issue: unknown, P. 242 - 260

Published: Feb. 9, 2024

Assessing the preparedness of Ghana's health sector is a crucial task that requires comprehensive and multi-faceted approach. faces many challenges, including limited resources, inadequate infrastructure, workforce shortages, which can impede delivery quality healthcare services to population. Thus, building strong resilience system essential cope with catastrophic events, capacity prepare effectively respond pandemics. The COVID-19 pandemic has highlighted critical role digital technologies in managing public emergencies. In context long-term management, transformation provide numerous benefits, such as improving speed efficiency response, enhancing communication collaboration, enabling remote access services. Empirically, our study found individual systemic are significant predictors management. Conversely, community times crisis not predictor.

Language: Английский

Citations

17

Harnessing an AI-Driven Analytics Model to Optimize Training and Treatment in Physical Education for Sports Injury Prevention DOI
Nilamadhab Mishra, Beau Gray M. Habal, Precious S. Garcia

et al.

Published: June 22, 2024

Language: Английский

Citations

17

The Nexus of Healthcare and Technology DOI

Pooja Darda,

Nikita Matta

Advances in healthcare information systems and administration book series, Journal Year: 2024, Volume and Issue: unknown, P. 261 - 282

Published: Feb. 9, 2024

Recent years have witnessed a significant convergence of artificial intelligence (AI) within the healthcare sector. This chapter explores transformative potential and challenges posed by these intelligent technologies in healthcare. It various domains such as predictive analytics, telemedicine, personalized medicine, enhancement operational efficiencies. The findings underscore AI smart revolutionizing delivery. carries extensive implications for Healthcare practitioners administrators can leverage insights to strategically incorporate solutions, aiming improve patient outcomes enhance organizational efficiency. Additionally, provide valuable guidance policymakers stakeholders, informing creation guidelines standards that foster innovation, ensure safety, protect data security. Therefore, this is an essential guide effectively embracing role advancing practices.

Language: Английский

Citations

15

Emerging Technologies in Radiotherapy DOI
Magda Ramos

Advances in healthcare information systems and administration book series, Journal Year: 2024, Volume and Issue: unknown, P. 89 - 110

Published: Feb. 9, 2024

Radiation therapy (or radiation oncology) plays a crucial role in the treatment of cancer, requiring advanced medical practices and strong health literacy on part healthcare professionals. This chapter aims to explore with literature review how emerging technologies can be integrated into improve patient effectiveness practice. The application such as virtual reality, artificial intelligence, digital communication radiotherapy highlights their implications for professional education attitude, treatment, development optimization protocols. Nowadays, knowledge has become tool meet challenges an increasingly digitized society. Staying up-to-date understanding key navigating this landscape. ability learn adapt quickly also valuable skill during constant change global

Language: Английский

Citations

15

Transformative Technologies for Supporting Children With Fetal Alcohol Syndrome and Autism Spectrum Disorders DOI
Stephani du Toit, Leila Goosen

Advances in healthcare information systems and administration book series, Journal Year: 2024, Volume and Issue: unknown, P. 156 - 179

Published: Feb. 9, 2024

This chapter explores transformative technologies and their application in supporting enhancing the lives of children diagnosed with fetal alcohol syndrome (FAS) autism spectrum disorders (ASD). These two neurodevelopmental disorders, characterized by a diverse range challenges symptoms, necessitate innovative tailored approaches for effective management support. emerging technological solutions, including artificial intelligence, augmented virtual reality, personalized medicine, which are revolutionizing way healthcare professionals approach diagnosis, treatment, therapy FAS ASD. It also discusses implications these creating adaptable treatment plans. By doing so, it offers glimpse into future pediatric where interventions highly to individual needs each child. Ethical considerations, challenges, direction context ASD critically analyzed.

Language: Английский

Citations

15

Integration of IoMT for Enhanced Healthcare DOI
Muhammad Usman Tariq

Advances in medical technologies and clinical practice book series, Journal Year: 2024, Volume and Issue: unknown, P. 70 - 95

Published: June 7, 2024

The internet of medical things (IoMT) has revolutionised modern healthcare. This is explored in detail the chapter. chapter examines how IoMT technologies are being applied three critical areas—sleep monitoring, body movement detection, and rehabilitation evaluation—and they may completely transform patient outcomes treatment. gives an overview healthcare introduction, highlighting value sleep improving well-being. also covers future trends, problems potential roadblocks to adoption, solutions privacy security issues. ends with a summary most important lessons learned, revolutionary contemporary urging more research into its possible uses.

Language: Английский

Citations

15