The Impact of Artificial Intelligence on Healthcare: A Comprehensive Review of Advancements in Diagnostics, Treatment, and Operational Efficiency

Health Science Reports, Год журнала: 2025, Номер 8(1)

Опубликована: Янв. 1, 2025

Artificial Intelligence (AI) beginning to integrate in healthcare, is ushering a transformative era, impacting diagnostics, altering personalized treatment, and significantly improving operational efficiency. The study aims describe AI including important technologies like robotics, machine learning (ML), deep (DL), natural language processing (NLP), investigate how these are used patient interaction, predictive analytics, remote monitoring. goal of this review present thorough analysis AI's effects on healthcare while providing stakeholders with road map for navigating changing environment. This analyzes the impact using data from Web Science (2014-2024), focusing keywords AI, ML, applications. It examines uses by synthesizing recent literature real-world case studies, such as Google Health IBM Watson Health, highlighting technologies, their useful applications, difficulties putting them into practice, problems security resource limitations. also discusses new developments they can affect society. findings demonstrate enhancing skills medical professionals, diagnosis, opening door more individualized treatment plans, reflected steady rise AI-related publications 158 articles (3.54%) 2014 731 (16.33%) 2024. Core applications monitoring analytics improve effectiveness involvement. However, there major obstacles mainstream implementation issues budget constraints. Healthcare may be transformed but its successful use requires ethical responsible use. To meet demands sector guarantee application evaluation highlights necessity ongoing research, instruction, multidisciplinary cooperation. In future, integrating responsibly will essential optimizing advantages reducing related dangers.

Язык: Английский

---

Leveraging Administrative Health Databases to Address Health Challenges in Farming Populations: Scoping Review and Bibliometric Analysis (1975-2024)

JMIR Public Health and Surveillance, Год журнала: 2025, Номер 11, С. e62939 - e62939

Опубликована: Янв. 9, 2025

Background Although agricultural health has gained importance, to date, much of the existing research relies on traditional epidemiological approaches that often face limitations related sample size, geographic scope, temporal coverage, and range events examined. To address these challenges, a complementary approach involves leveraging reusing data beyond its original purpose. Administrative databases (AHDs) are increasingly reused in population-based digital public health, especially for populations such as farmers, who distinct environmental risks. Objective We aimed explore reuse AHDs addressing issues within farming by summarizing current landscape AHD-based identifying key areas interest, gaps, unmet needs. Methods conducted scoping review bibliometric analysis using PubMed Web Science. Building upon previous reviews research, we comprehensive literature search 72 terms population AHDs. identify hot spots, directions, used keyword frequency, co-occurrence, thematic mapping. also explored profile exposome mapping co-occurrences between factors outcomes. Results Between 1975 April 2024, 296 publications across 118 journals, predominantly from high-income countries, were identified. Nearly one-third associated with well-established cohorts, Agriculture Cancer Agricultural Health Study. The most frequently included disease registers (158/296, 53.4%), electronic records (124/296, 41.9%), insurance claims (106/296, 35.8%), (95/296, 32.1%), hospital discharge (41/296, 13.9%). Fifty (16.9%) studies involved >1 million participants. broad exposure proxies used, (254/296, 85.8%) relied proxies, which failed capture specifics tasks. Research remains underexplored, predominant focus specific external exposome, particularly pesticide exposure. A limited have been examined, primarily cancer, mortality, injuries. Conclusions increasing use holds major potential advance populations. However, substantial gaps persist, low-income regions among underrepresented subgroups, women, children, contingent workers. Emerging issues, including per- polyfluoroalkyl substances, biological agents, microbiome, microplastics, climate change, warrant further research. Major persist understanding various conditions, cardiovascular, reproductive, ocular, sleep-related, age-related, autoimmune diseases. Addressing overlooked is essential comprehending risks faced communities guiding policies. Within this context, promoting conjunction other sources (eg, mobile social data, wearables) artificial intelligence approaches, represents promising avenue future exploration.

Язык: Английский

---

Technological Cooperation for Sustainable Development Under the Belt and Road Initiative and the Sustainable Development Goals: Opportunities and Challenges

Sustainability, Год журнала: 2025, Номер 17(2), С. 657 - 657

Опубликована: Янв. 16, 2025

The Belt and Road Initiative (BRI) promotes sustainable development in the participating countries by facilitating technology transfer, talent development, industrial upgrading. Technological cooperation under BRI plays a crucial role helping these achieve Sustainable Development Goals (SDGs). However, also faces significant challenges, including geopolitical, economic, social, environmental, legal risks. This paper reviews current research on technological cooperation, covering models, influencing factors, mechanisms, economic social impacts of such cooperation. It examines both opportunities challenges involved provides policy recommendations action plans. review offers valuable insights for researchers interested contributes to advancing countries.

Язык: Английский

---

Translational precision medicine: an industry perspective

Journal of Translational Medicine, Год журнала: 2021, Номер 19(1)

Опубликована: Июнь 5, 2021

Abstract In the era of precision medicine, digital technologies and artificial intelligence, drug discovery development face unprecedented opportunities for product business model innovation, fundamentally changing traditional approach how drugs are discovered, developed marketed. Critical to this transformation is adoption new in process, catalyzing transition from serendipity-driven data-driven medicine. This paradigm shift comes with a need both translation precision, leading modern Translational Precision Medicine development. Key components multi-omics profiling, biomarkers, model-based data integration, intelligence , biomarker-guided trial designs patient-centric companion diagnostics. review, we summarize critically discuss potential challenges cross-industry perspective.

Язык: Английский

---

Insights into Nonalcoholic Fatty-Liver Disease Heterogeneity

Seminars in Liver Disease, Год журнала: 2021, Номер 41(04), С. 421 - 434

Опубликована: Июль 7, 2021

The acronym nonalcoholic fatty-liver disease (NAFLD) groups a heterogeneous patient population. Although in many patients the primary driver is metabolic dysfunction, complex and dynamic interaction of different factors (i.e., sex, presence one or more genetic variants, coexistence comorbidities, diverse microbiota composition, various degrees alcohol consumption among others) takes place to determine subphenotypes with distinct natural history prognosis and, eventually, response therapy. This review aims address this topic through analysis existing data on differential contribution known pathogenesis clinical expression NAFLD, thus determining observed practice. To improve our understanding NAFLD heterogeneity dominant drivers subgroups would predictably impact development precision-targeted therapies for NAFLD.

Язык: Английский

---

Perspectives on Precision Medicine Approaches to NAFLD Diagnosis and Management

Advances in Therapy, Год журнала: 2021, Номер 38(5), С. 2130 - 2158

Опубликована: Апрель 7, 2021

Precision medicine defines the attempt to identify most effective approaches for specific subsets of patients based on their genetic background, clinical features, and environmental factors. Nonalcoholic fatty liver disease (NAFLD) encompasses alcohol-like spectrum disorders (steatosis, steatohepatitis with/without fibrosis, cirrhosis hepatocellular carcinoma) in nonalcoholic patient. Recently, renaming MAFLD [metabolic (dysfunction)-associated disease] positive criteria diagnosis have been proposed. This review article is specifically devoted envisaging some clues that may be useful implementing a precision medicine-oriented approach research practice. To this end, we focus how sex reproductive status, genetics, intestinal microbiota diversity, endocrine metabolic as well physical activity interact determining NAFLD/MAFLD heterogeneity. All these factors should considered individual patient with aim an individualized therapeutic plan. The impact considering NAFLD heterogeneity development targeted therapies subgroups also extensively discussed.

Язык: Английский

---

Short Chain Fatty Acid Metabolism in Relation to Gut Microbiota and Genetic Variability

Nutrients, Год журнала: 2022, Номер 14(24), С. 5361 - 5361

Опубликована: Дек. 16, 2022

It is widely accepted that the gut microbiota plays a significant role in modulating inflammatory and immune responses of their host. In recent years, host-microbiota interface has gained relevance understanding development many non-communicable chronic conditions, including cardiovascular disease, cancer, autoimmunity neurodegeneration. Importantly, dietary fibre (DF) associated compounds digested by resulting metabolites, especially short-chain fatty acids (SCFA), were significantly with health beneficial effects, such as via proposed anti-inflammatory mechanisms. However, SCFA metabolic pathways are not fully understood. Major steps include production microbiota, uptake colonic epithelium, first-pass effects at liver, followed biodistribution metabolism host's cellular level. As patterns do affect all individuals equally, host genetic makeup may play fate these addition to other factors might influence age, birth through caesarean, medication intake, alcohol tobacco consumption, pathogen exposure physical activity. this article, we review DF, from intake intracellular fibre-derived products, identify possible sources inter-individual variability related variation. Such be indicative phenotypic flexibility response diet, predictive long-term adaptations factors, maladaptation tissue damage, which develop into disease specific predispositions, thus allowing for better prediction potential following personalized intervention DF.

Язык: Английский

---

Machine learning algorithms as new screening approach for patients with endometriosis

Scientific Reports, Год журнала: 2022, Номер 12(1)

Опубликована: Янв. 12, 2022

Abstract Endometriosis—a systemic and chronic condition occurring in women of childbearing age—is a highly enigmatic disease with unresolved questions. While multiple biomarkers, genomic analysis, questionnaires, imaging techniques have been advocated as screening triage tests for endometriosis to replace diagnostic laparoscopy, none implemented routinely clinical practice. We investigated the use machine learning algorithms (MLA) diagnosis based on 16 key patient-based symptom features. The sensitivity, specificity, F1-score AUCs MLA diagnose training validation sets varied from 0.82 1, 0–0.8, 0–0.88, 0.5–0.89, 0.91 0.95, 0.66–0.92, 0.77–0.92, respectively. Our data suggest that could be promising test general practitioners, gynecologists, other front-line health care providers. Introducing this setting represents paradigm change practice it laparoscopy. Furthermore, tool empowers patients self-identify potential symptoms initiate dialogue physicians about treatment, hence contribute shared decision making.

Язык: Английский

---

Emerging Hallmarks of Metabolic Reprogramming in Prostate Cancer

International Journal of Molecular Sciences, Год журнала: 2023, Номер 24(2), С. 910 - 910

Опубликована: Янв. 4, 2023

Prostate cancer (PCa) is the most common male malignancy and fifth leading cause of death in men worldwide. cells are characterized by a hybrid glycolytic/oxidative phosphorylation phenotype determined androgen receptor signaling. An increased lipogenesis cholesterogenesis have been described PCa cells. Many studies shown that enzymes involved these pathways overexpressed PCa. Glutamine becomes an essential amino acid for cells, its metabolism thought to become attractive therapeutic target. A crosstalk between stromal occurs tumor microenvironment because release different cytokines growth factors due changes extracellular matrix. deeper insight into metabolic may be obtained multi-omic approach integrating genomics, transcriptomics, metabolomics, lipidomics, radiomics data.

Язык: Английский

---

A Survey on Collaborative DNN Inference for Edge Intelligence

Deleted Journal, Год журнала: 2023, Номер 20(3), С. 370 - 395

Опубликована: Май 2, 2023

With the vigorous development of artificial intelligence (AI), applications based on deep neural networks (DNNs) have changed people's lifestyles and production efficiency. However, large amount computation data generated from network edge becomes major bottleneck, traditional cloud-based computing mode has been unable to meet requirements realtime processing tasks. To solve above problems, by embedding AI model training inference capabilities into edge, (EI) a cutting-edge direction in field AI. Furthermore, collaborative DNN among cloud, end devices provides promising way boost EI. Nevertheless, at present, EI oriented is still its early stage, lacking systematic classification discussion existing research efforts. Motivated it, we comprehensively investigated recent studies EI-oriented inference. In this paper, first review background motivation Then, classify four typical paradigms for EI, analyse their characteristics key technologies. Finally, summarize current challenges inference, discuss future trends provide directions.

Язык: Английский

---