Understanding the Landscape: A Review of Explainable AI in Healthcare Decision-Making DOI

Zulfikar Ali Ansari,

Manish Madhava Tripathi, Rafeeq Ahmed

и другие.

Research Square (Research Square), Год журнала: 2024, Номер unknown

Опубликована: Сен. 16, 2024

Abstract Breast cancer remains a significant global health concern, impacting millions of women. Early and accurate diagnosis is crucial for improving treatment outcomes reducing mortality rates. Machine learning (ML) has emerged as powerful tool breast prediction, demonstrating its ability to identify complex patterns relationships in large datasets. This paves the way efficient collaboration between AI healthcare professionals. systematic review explores diverse machine-learning techniques employed diagnosis. We comprehensively analyse evaluate effectiveness various computational methodologies by synthesising findings from wide range peer-reviewed studies. Our analysis highlights substantial advancements achieved utilizing machine algorithms prediction. However, challenges remain harnessing full potential healthcare. These include need larger more datasets, effective incorporation imaging data, development interpretable models. While offers immense healthcare, ensuring transparency, interpretability, trust crucial, especially domains like research emphasizes importance Explainable (XAI) enhancing clinical decision-making building patients providers. advocate fostering interdisciplinary among researchers, medical professionals, ethicists, policymakers ensure responsible integration

Язык: Английский

Emergent Applications of Organ-on-a-Chip (OOAC) Technologies With Artificial Vascular Networks in the 21st Century DOI
Ranjit Barua, Nirmalendu Biswas, Deepanjan Das

и другие.

Advances in healthcare information systems and administration book series, Год журнала: 2024, Номер unknown, С. 198 - 219

Опубликована: Фев. 14, 2024

The organ-on-a-chip (OOAC) technology stands at the forefront of emergent technologies, representing a biomimetic configuration functional organs on microfluidic chip. This synergizes biomedical engineering, cell biology, and biomaterial to mimic microenvironment specific organs. It effectively replicates biomechanical biological soft tissue interfaces, enabling simulation organ functionality responses various stimuli, including drug reactions environmental effects. OOAC has vast implications for precision medicine defense strategies. In this chapter, authors delve into principles OOAC, exploring its role in creating physiological models discussing advantages, current challenges, prospects. examination is significant as it highlights transformative potential technologies 21st century contributes deeper understanding OOAC's applications advancing medical research.

Язык: Английский

Процитировано

17
Effects of Genetic Counseling on Reducing Prenatal Stress and Autism Rates in the Asia-Pacific Region DOI

Yanhua Bi,

Kadir Uludağ

Advances in healthcare information systems and administration book series, Год журнала: 2024, Номер unknown, С. 341 - 363

Опубликована: Фев. 14, 2024

Autism spectrum disorder (ASD) is a neurodevelopmental condition characterized by difficulties in social interaction, repetitive behaviors, and narrow interests. People with ASD often experience additional mental health issues such as depression anxiety. While genetics have long been considered significant factor the development of ASD, recent research indicates that interplay between genes environment crucial understanding its underlying causes. This chapter aims to discuss relationship prenatal stress characteristics countries within Asia-Pacific region. The findings indicate connection traits China, South Korea, Japan. Further investigation required fully comprehend specific mechanisms involved this relationship. Genetic consultation can provide insights into potential risk factors, genetic counseling, guidance on personalized interventions.

Язык: Английский

Процитировано

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, Год журнала: 2024, Номер unknown, С. 156 - 179

Опубликована: Фев. 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.

Язык: Английский

Процитировано

15
Digital Health in the Context of Healthcare Workers' Education and Training DOI
Carlos Alberto da Silva, Rui Almeida, Francisca Carvalheira

и другие.

Advances in healthcare information systems and administration book series, Год журнала: 2024, Номер unknown, С. 66 - 85

Опубликована: Фев. 14, 2024

Digital technologies are reshaping healthcare practices, influencing patient information-seeking behavior, and impacting ethical considerations. The emergence of eHealth, mHealth, advanced like artificial intelligence, machine learning, robotics hold promise for improving quality. However, in Portugal, digital health literacy is underexplored, particularly education. This chapter scrutinizes curricula at higher education schools, revealing that while integrated, often confined to specific modules. Portuguese institutions must reconsider equip professionals with essential skills. significance this lies its critical analysis recommendations reform. It underscores the urgent need comprehensive integration education, highlighting gap current advocating a more approach. Recommendations include implementing ongoing training enhance literacy.

Язык: Английский

Процитировано

14
An In-Depth Exploration of Nonwoven Materials in the Healthcare and Medical Sector DOI
Dharmesh Dhabliya, Vivek Veeraiah, Sukhvinder Singh Dari

и другие.

Advances in healthcare information systems and administration book series, Год журнала: 2024, Номер unknown, С. 315 - 340

Опубликована: Фев. 14, 2024

This chapter provides an overview of nonwoven materials in the healthcare industry, discussing their various uses, characteristics, advantages, challenges, recent developments, and potential future prospects. The essential nature nonwovens lies barrier efficiency, breathability, comfort, making them indispensable for surgical gowns, face masks, sterile packaging, wound dressings, hygiene products. emphasizes cost-effectiveness, disposability, infection control offered by materials, while also environmental impact compliance with regulations. dynamic advancement these is demonstrated through integration nanotechnology development smart nonwovens. Looking ahead, availability biodegradable alternatives customized solutions expected, driven sustainability, technology, emerging trends. implications sector include enhanced patient safety, improved operational increased sustainability.

Язык: Английский

Процитировано

13
3D printing technology and its revolutionary role in stent implementation in cardiovascular disease DOI
Muhammad Amir Khan,

Niyamat Khan,

Muneeb Ullah

и другие.

Current Problems in Cardiology, Год журнала: 2024, Номер 49(6), С. 102568 - 102568

Опубликована: Апрель 8, 2024

Язык: Английский

Процитировано

10
Evolution, Integration, and Challenges of 3D Printing in Pharmaceutical Applications: A Comprehensive Review DOI

Jyoti Kumari,

S. K. Pandey,

Krishna Kant Jangde

и другие.

Bioprinting, Год журнала: 2024, Номер unknown, С. e00367 - e00367

Опубликована: Окт. 1, 2024

Язык: Английский

Процитировано

1
Understanding the Landscape: A Review of Explainable AI in Healthcare Decision-Making DOI

Zulfikar Ali Ansari,

Manish Madhava Tripathi, Rafeeq Ahmed

и другие.

Research Square (Research Square), Год журнала: 2024, Номер unknown

Опубликована: Сен. 16, 2024

Abstract Breast cancer remains a significant global health concern, impacting millions of women. Early and accurate diagnosis is crucial for improving treatment outcomes reducing mortality rates. Machine learning (ML) has emerged as powerful tool breast prediction, demonstrating its ability to identify complex patterns relationships in large datasets. This paves the way efficient collaboration between AI healthcare professionals. systematic review explores diverse machine-learning techniques employed diagnosis. We comprehensively analyse evaluate effectiveness various computational methodologies by synthesising findings from wide range peer-reviewed studies. Our analysis highlights substantial advancements achieved utilizing machine algorithms prediction. However, challenges remain harnessing full potential healthcare. These include need larger more datasets, effective incorporation imaging data, development interpretable models. While offers immense healthcare, ensuring transparency, interpretability, trust crucial, especially domains like research emphasizes importance Explainable (XAI) enhancing clinical decision-making building patients providers. advocate fostering interdisciplinary among researchers, medical professionals, ethicists, policymakers ensure responsible integration

Язык: Английский

Процитировано

0