Health and Technology, Journal Year: 2025, Volume and Issue: unknown
Published: Feb. 22, 2025
Language: Английский
BMC Medical Education, Journal Year: 2023, Volume and Issue: 23(1)
Published: Sept. 22, 2023
Abstract Introduction Healthcare systems are complex and challenging for all stakeholders, but artificial intelligence (AI) has transformed various fields, including healthcare, with the potential to improve patient care quality of life. Rapid AI advancements can revolutionize healthcare by integrating it into clinical practice. Reporting AI’s role in practice is crucial successful implementation equipping providers essential knowledge tools. Research Significance This review article provides a comprehensive up-to-date overview current state practice, its applications disease diagnosis, treatment recommendations, engagement. It also discusses associated challenges, covering ethical legal considerations need human expertise. By doing so, enhances understanding significance supports organizations effectively adopting technologies. Materials Methods The investigation analyzed use system relevant indexed literature, such as PubMed/Medline, Scopus, EMBASE, no time constraints limited articles published English. focused question explores impact applying settings outcomes this application. Results Integrating holds excellent improving selection, laboratory testing. tools leverage large datasets identify patterns surpass performance several aspects. offers increased accuracy, reduced costs, savings while minimizing errors. personalized medicine, optimize medication dosages, enhance population health management, establish guidelines, provide virtual assistants, support mental care, education, influence patient-physician trust. Conclusion be used diagnose diseases, develop plans, assist clinicians decision-making. Rather than simply automating tasks, about developing technologies that across settings. However, challenges related data privacy, bias, expertise must addressed responsible effective healthcare.
Language: Английский
Citations
1126
Journal of Personalized Medicine, Journal Year: 2023, Volume and Issue: 13(6), P. 951 - 951
Published: June 5, 2023
Artificial intelligence (AI) applications have transformed healthcare. This study is based on a general literature review uncovering the role of AI in healthcare and focuses following key aspects: (i) medical imaging diagnostics, (ii) virtual patient care, (iii) research drug discovery, (iv) engagement compliance, (v) rehabilitation, (vi) other administrative applications. The impact observed detecting clinical conditions diagnostic services, controlling outbreak coronavirus disease 2019 (COVID-19) with early diagnosis, providing care using AI-powered tools, managing electronic health records, augmenting compliance treatment plan, reducing workload professionals (HCPs), discovering new drugs vaccines, spotting prescription errors, extensive data storage analysis, technology-assisted rehabilitation. Nevertheless, this science pitch meets several technical, ethical, social challenges, including privacy, safety, right to decide try, costs, information consent, access, efficacy, while integrating into governance crucial for safety accountability raising HCPs' belief enhancing acceptance boosting significant consequences. Effective prerequisite precisely address regulatory, trust issues advancing implementation AI. Since COVID-19 hit global system, concept has created revolution healthcare, such an uprising could be another step forward meet future needs.
Language: Английский
Citations
327
Vaccines, Journal Year: 2023, Volume and Issue: 11(3), P. 682 - 682
Published: March 17, 2023
We are currently approaching three years since the beginning of coronavirus disease 2019 (COVID-19) pandemic. SARS-CoV-2 has caused extensive disruptions in everyday life, public health, and global economy. Thus far, vaccine worked better than expected against virus. During pandemic, we experienced several things, such as virus its pathogenesis, clinical manifestations, treatments; emerging variants; different vaccines; development processes. This review describes how each been developed approved with help modern technology. also discuss critical milestones during process. Several lessons were learned from countries two research, development, trials, vaccination. The process will to fight next
Language: Английский
Citations
66
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
Molecular Biomedicine, Journal Year: 2025, Volume and Issue: 6(1)
Published: Jan. 3, 2025
Abstract Integrating Artificial Intelligence (AI) across numerous disciplines has transformed the worldwide landscape of pandemic response. This review investigates multidimensional role AI in pandemic, which arises as a global health crisis, and its preparedness responses, ranging from enhanced epidemiological modelling to acceleration vaccine development. The confluence technologies guided us new era data-driven decision-making, revolutionizing our ability anticipate, mitigate, treat infectious illnesses. begins by discussing impact on emerging countries worldwide, elaborating critical significance modelling, bringing enabling forecasting, mitigation response pandemic. In epidemiology, AI-driven models like SIR (Susceptible-Infectious-Recovered) SIS (Susceptible-Infectious-Susceptible) are applied predict spread disease, preventing outbreaks optimising distribution. also demonstrates how Machine Learning (ML) algorithms predictive analytics improve knowledge disease propagation patterns. collaborative aspect discovery clinical trials various vaccines is emphasised, focusing constructing AI-powered surveillance networks. Conclusively, presents comprehensive assessment impacts builds AI-enabled dynamic collaborating ML Deep (DL) techniques, develops implements trials. focuses screening, contact tracing monitoring virus-causing It advocates for sustained research, real-world implications, ethical application strategic integration strengthen collective face alleviate effects issues.
Language: Английский
Citations
4
Population Health Management, Journal Year: 2025, Volume and Issue: unknown
Published: Feb. 3, 2025
In recent decades, the integration of artificial intelligence (AI) into health care has revolutionized diagnostics, treatment customization, and delivery. low-resource settings, AI offers significant potential to address disparities exacerbated by shortages medical professionals other resources. However, implementing effectively responsibly in these settings requires careful consideration context-specific needs barriers equitable care. This article explores practical deployment environments through a review existing literature interviews with experts, ranging from providers administrators tool developers government consultants. The authors highlight 4 critical areas for effective deployment: infrastructure requirements, data management, education training, responsible practices. By addressing aspects, proposed framework aims guide sustainable integration, minimizing risk, enhancing access underserved regions.
Language: Английский
Citations
2
Epidemiology and Infection, Journal Year: 2022, Volume and Issue: 150
Published: Jan. 1, 2022
The coronavirus disease 2019 (COVID-19), with new variants, continues to be a constant pandemic threat that is generating socio-economic and health issues in manifold countries. principal goal of this study develop machine learning experiment assess the effects vaccination on fatality rate COVID-19 pandemic. Data from 192 countries are analysed explain phenomena under study. This algorithm selected two targets: number deaths rate. Results suggest that, based respective plan, turnout participation campaign, doses administered, suddenly have reduction precisely at point where cut effect generated neural network. result significant for international scientific community. It would demonstrate effective impact campaign COVID-19, whatever country considered. In fact, once has started (for vaccines require booster, we refer least first dose), antibody response people seems prevent probability death related COVID-19. short, certain point, collapses increasing administered. All these results here can help decisions policymakers prepare optimal strategies, plans, lessen negative crisis socioeconomic systems.
Language: Английский
Citations
62
BioMedInformatics, Journal Year: 2023, Volume and Issue: 3(4), P. 1145 - 1177
Published: Dec. 7, 2023
Emerging infectious diseases (EIDs) pose an increasingly significant global burden, driven by urbanization, population explosion, travel, changes in human behavior, and inadequate public health systems. The recent SARS-CoV-2 pandemic highlights the urgent need for innovative robust technologies to effectively monitor newly emerging pathogens. Rapid identification, epidemiological surveillance, transmission mitigation are crucial challenges ensuring safety. Genomics has emerged as a pivotal tool during pandemics, enabling diagnosis, management, prediction of infections, well analysis identification cross-species interactions categorization agents. Recent advancements high-throughput DNA sequencing tools have facilitated rapid precise characterization This review article provides insights into latest advances various genomic techniques pathogen detection tracking their applications outbreak surveillance. We assess methods that leverage sequences explore role understanding epidemiology diseases. Additionally, we address technical limitations, ethical legal considerations, highlight opportunities integrating genomics with other surveillance approaches. By delving prospects obstacles genomics, can gain valuable its mitigating threats posed pathogens improving preparedness face future outbreaks.
Language: Английский
Citations
37
Pathology - Research and Practice, Journal Year: 2023, Volume and Issue: 243, P. 154362 - 154362
Published: Feb. 6, 2023
Language: Английский
Citations
31
Microorganisms, Journal Year: 2024, Volume and Issue: 12(6), P. 1051 - 1051
Published: May 23, 2024
Traditional microbial diagnostic methods face many obstacles such as sample handling, culture difficulties, misidentification, and delays in determining susceptibility. The advent of artificial intelligence (AI) has markedly transformed diagnostics with rapid precise analyses. Nonetheless, ethical considerations accompany AI adoption, necessitating measures to uphold patient privacy, mitigate biases, ensure data integrity. This review examines conventional hurdles, stressing the significance standardized procedures processing. It underscores AI’s significant impact, particularly through machine learning (ML), diagnostics. Recent progressions AI, ML methodologies, are explored, showcasing their influence on categorization, comprehension microorganism interactions, augmentation microscopy capabilities. furnishes a comprehensive evaluation utility diagnostics, addressing both advantages challenges. A few case studies including SARS-CoV-2, malaria, mycobacteria serve illustrate potential for swift diagnosis. Utilization convolutional neural networks (CNNs) digital pathology, automated bacterial classification, colony counting further versatility. Additionally, improves antimicrobial susceptibility assessment contributes disease surveillance, outbreak forecasting, real-time monitoring. Despite limitations, integration microbiology presents robust solutions, user-friendly algorithms, training, promising paradigm-shifting advancements healthcare.
Language: Английский
Citations
11