Methods in microbiology, Journal Year: 2025, Volume and Issue: unknown
Published: Jan. 1, 2025
Language: Английский
Journal of Medicine Surgery and Public Health, Journal Year: 2024, Volume and Issue: 3, P. 100099 - 100099
Published: April 17, 2024
Artificial Intelligence (AI) has emerged as a transformative force in various fields, and its application mental healthcare is no exception. Hence, this review explores the integration of AI into healthcare, elucidating current trends, ethical considerations, future directions dynamic field. This encompassed recent studies, examples applications, considerations shaping Additionally, regulatory frameworks trends research development were analyzed. We comprehensively searched four databases (PubMed, IEEE Xplore, PsycINFO, Google Scholar). The inclusion criteria papers published peer-reviewed journals, conference proceedings, or reputable online databases, that specifically focus on field offer comprehensive overview, analysis, existing literature English language. Current reveal AI's potential, with applications such early detection health disorders, personalized treatment plans, AI-driven virtual therapists. However, these advancements are accompanied by challenges concerning privacy, bias mitigation, preservation human element therapy. Future emphasize need for clear frameworks, transparent validation models, continuous efforts. Integrating therapy represents promising frontier healthcare. While holds potential to revolutionize responsible implementation essential. By addressing thoughtfully, we may effectively utilize enhance accessibility, efficacy, ethicality thereby helping both individuals communities.
Language: Английский
Citations
96
Waste Management Bulletin, Journal Year: 2024, Volume and Issue: 2(2), P. 244 - 263
Published: May 9, 2024
Waste management poses a pressing global challenge, necessitating innovative solutions for resource optimization and sustainability. Traditional practices often prove insufficient in addressing the escalating volume of waste its environmental impact. However, advent Artificial Intelligence (AI) technologies offers promising avenues tackling complexities systems. This review provides comprehensive examination AI's role management, encompassing collection, sorting, recycling, monitoring. It delineates potential benefits challenges associated with each application while emphasizing imperative improved data quality, privacy measures, cost-effectiveness, ethical considerations. Furthermore, future prospects AI integration Internet Things (IoT), advancements machine learning, importance collaborative frameworks policy initiatives were discussed. In conclusion, holds significant promise enhancing practices, such as concerns, cost implications is paramount. Through concerted efforts ongoing research endeavors, transformative can be fully harnessed to drive sustainable efficient practices.
Language: Английский
Citations
65
Journal of Medicine Surgery and Public Health, Journal Year: 2024, Volume and Issue: 3, P. 100108 - 100108
Published: April 16, 2024
This review provides a comprehensive examination of the integration Artificial Intelligence (AI) into healthcare, focusing on its transformative implications and challenges. Utilising systematic search strategy across electronic databases such as PubMed, Scopus, Embase, Sciencedirect, relevant peer-reviewed articles published in English between January 2010 till date were identified. Findings reveal AI's significant impact healthcare delivery, including role enhancing diagnostic precision, enabling treatment personalisation, facilitating predictive analytics, automating tasks, driving robotics. AI algorithms demonstrate high accuracy analysing medical images for disease diagnosis enable creation tailored plans based patient data analysis. Predictive analytics identify high-risk patients proactive interventions, while AI-powered tools streamline workflows, improving efficiency experience. Additionally, AI-driven robotics automate tasks enhance care particularly rehabilitation surgery. However, challenges quality, interpretability, bias, regulatory frameworks must be addressed responsible implementation. Recommendations emphasise need robust ethical legal frameworks, human-AI collaboration, safety validation, education, regulation to ensure effective healthcare. valuable insights potential advocating implementation efficacy.
Language: Английский
Citations
33
Computer Methods and Programs in Biomedicine Update, Journal Year: 2024, Volume and Issue: 5, P. 100142 - 100142
Published: Jan. 1, 2024
Language: Английский
Citations
29
Hygiene and Environmental Health Advances, Journal Year: 2024, Volume and Issue: unknown, P. 100114 - 100114
Published: Oct. 1, 2024
Language: Английский
Citations
24
Journal of Microbiological Methods, Journal Year: 2024, Volume and Issue: 224, P. 106998 - 106998
Published: July 15, 2024
Vaccine development stands as a cornerstone of public health efforts, pivotal in curbing infectious diseases and reducing global morbidity mortality. However, traditional vaccine methods are often time-consuming, costly, inefficient. The advent artificial intelligence (AI) has ushered new era design, offering unprecedented opportunities to expedite the process. This narrative review explores role AI development, focusing on antigen selection, epitope prediction, adjuvant identification, optimization strategies. algorithms, including machine learning deep learning, leverage genomic data, protein structures, immune system interactions predict antigenic epitopes, assess immunogenicity, prioritize antigens for experimentation. Furthermore, AI-driven approaches facilitate rational design immunogens identification novel candidates with optimal safety efficacy profiles. Challenges such data heterogeneity, model interpretability, regulatory considerations must be addressed realize full potential development. Integrating emerging technologies, single-cell omics synthetic biology, promises enhance precision scalability. underscores transformative impact highlights need interdisciplinary collaborations harmonization accelerate delivery safe effective vaccines against diseases.
Language: Английский
Citations
21
European Journal of Investigation in Health Psychology and Education, Journal Year: 2025, Volume and Issue: 15(1), P. 6 - 6
Published: Jan. 8, 2025
Artificial intelligence (AI) has transformed healthcare, yet patients' acceptance of AI-driven medical services remains constrained. Despite its significant potential, patients exhibit reluctance towards this technology. A notable lack comprehensive research exists that examines the variables driving resistance to AI. This study explores influencing adopt AI technology in healthcare by applying an extended Ram and Sheth Model. More specifically, roles need for personal contact (NPC), perceived technological dependence (PTD), general skepticism toward (GSAI) shaping patient integration. For reason, a sequential mixed-method approach was employed, beginning with semi-structured interviews identify adaptable factors healthcare. It then followed survey validate qualitative findings through Structural Equation Modeling (SEM) via AMOS (version 24). The confirm NPC, PTD, GSAI significantly contribute Precisely, who prefer interaction, feel dependent on AI, or are skeptical AI's promises more likely resist adoption. highlight psychological offering valuable insights administrators. Strategies balance efficiency human mitigate dependence, foster trust recommended successful implementation adds theoretical understanding Innovation Resistance Theory, providing both conceptual practical implications effective incorporation
Language: Английский
Citations
2
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
Journal of Medicine Surgery and Public Health, Journal Year: 2024, Volume and Issue: 3, P. 100109 - 100109
Published: April 23, 2024
Using Artificial intelligence technologies in cardiology has witnessed rapid advancements across various domains, fostering innovation and reshaping clinical practices. The study aims to provide a comprehensive overview of these AI-driven their implications for enhancing cardiovascular healthcare. A systematic approach was adopted conduct an extensive review scholarly articles peer-reviewed literature focusing on the application AI cardiology. Databases including PubMed/MEDLINE, ScienceDirect, IEEE Xplore, Web Science were systematically searched. Articles screened following defined selection criteria. These articles' synthesis highlighted AI's diverse applications cardiology, but not limited diagnostic innovations, precision medicine, remote monitoring technologies, drug discovery, decision support systems. shows significant role medicine by revolutionising diagnostics, treatment strategies, patient care. showcased this reflect transformative potential technologies. However, challenges such as algorithm accuracy, interoperability, integration into workflows persist. continued strategic promise deliver more personalised, efficient, effective care, ultimately improving outcomes shaping future practice.
Language: Английский
Citations
14
Journal of Public Health, Journal Year: 2024, Volume and Issue: 46(2), P. 207 - 208
Published: April 11, 2024
What's artificial intelligence (AI) got to do with it-inequality and public health?'We must work together for AI that bridges social, digital, economic divides, not one pushes us further apart.' 1In his article 'Getting Right' 2 James Maniyka writes: 'While the headlines tend feature results demonstrations of a future come, its associated technologies are already here pervade our daily lives more than many realize.Examples include recommendation systems, search, language translators-now covering hundred languages-facial recognition, speech text (and back), digital assistants, chatbots customer service, fraud detection, decision support energy management tools scientific research, name few'.He continues in 2006 Nick Bostrom, 3 director Future Humanity Institute at University Oxford noted, "a lot cuttingedge has filtered into general applications, often without being called because once something becomes useful enough common it's labelled anymore".The term is complex one.Marvin Minsky 4 it 'suitcase word' which according him 'is packed variously, depending on who you ask'.I don't claim understand world AI.My understanding as outlined introduction UNESCO Artificial Intelligence Gender Equality report 5 -'Simply put, involves using computers classify, analyze, draw predictions from data sets, set rules algorithms.AI algorithms trained large datasets so they can identify patterns, make predictions, recommend actions, figure out what unfamiliar situations, learning new thus improving over time.The ability an system improve automatically through experience known Machine Learning (ML)'.However, all pervading if believe some websites CEOs companies 6,7 offered panacea range issues ending poverty reversing climate change.There increasing body research impact inequality.One debated whether their applications may, least short medium term, increase inequality due automation. 8,9Research suggests AI, expected be
Language: Английский
Citations
12