Revolutionizing healthcare: the role of artificial intelligence in clinical practice

BMC Medical Education, Год журнала: 2023, Номер 23(1)

Опубликована: Сен. 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.

Язык: Английский

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Edge Artificial Intelligence for 6G: Vision, Enabling Technologies, and Applications

IEEE Journal on Selected Areas in Communications, Год журнала: 2021, Номер 40(1), С. 5 - 36

Опубликована: Ноя. 8, 2021

The thriving of artificial intelligence (AI) applications is driving the further evolution wireless networks. It has been envisioned that 6G will be transformative and revolutionize from "connected things" to intelligence". However, state-of-the-art deep learning big data analytics based AI systems require tremendous computation communication resources, causing significant latency, energy consumption, network congestion, privacy leakage in both training inference processes. By embedding model capabilities into edge, edge stands out as a disruptive technology for seamlessly integrate sensing, communication, computation, intelligence, thereby improving efficiency, effectiveness, privacy, security In this paper, we shall provide our vision scalable trustworthy with integrated design strategies decentralized machine models. New principles networks, service-driven resource allocation optimization methods, well holistic end-to-end system architecture support described. Standardization, software hardware platforms, application scenarios are also discussed facilitate industrialization commercialization systems.

Язык: Английский

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Integration of Artificial Intelligence, Blockchain, and Wearable Technology for Chronic Disease Management: A New Paradigm in Smart Healthcare

Current Medical Science, Год журнала: 2021, Номер 41(6), С. 1123 - 1133

Опубликована: Дек. 1, 2021

Язык: Английский

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Salivary MicroRNA Signature for Diagnosis of Endometriosis

Journal of Clinical Medicine, Год журнала: 2022, Номер 11(3), С. 612 - 612

Опубликована: Янв. 26, 2022

Endometriosis diagnosis constitutes a considerable economic burden for the healthcare system with diagnostic tools often inconclusive insufficient accuracy. We sought to analyze human miRNAome define saliva-based miRNA signature endometriosis.

Язык: Английский

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Artificial intelligence and obesity management: An Obesity Medicine Association (OMA) Clinical Practice Statement (CPS) 2023

Obesity Pillars, Год журнала: 2023, Номер 6, С. 100065 - 100065

Опубликована: Апрель 20, 2023

This Obesity Medicine Association (OMA) Clinical Practice Statement (CPS) provides clinicians an overview of Artificial Intelligence, focused on the management patients with obesity.

Язык: Английский

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The future of pharmacy: How AI is revolutionizing the industry

Intelligent Pharmacy, Год журнала: 2023, Номер 1(1), С. 32 - 40

Опубликована: Май 10, 2023

The application of Artificial Intelligence (AI) is rapidly transforming various industries, and the pharmaceutical industry no exception. AI increasingly being used to automate, optimize personalize aspects pharmacy industry, from drug discovery dispensing. In this context, paper explores potential revolutionize by discussing current future applications in industry. We will examine how discovery, personalized medicine, safety quality control, inventory management, patient counselling. also discuss challenges limitations such as data privacy, ethical concerns regulatory barriers. argue that has enabling faster improving outcomes, reducing costs, increasing efficiency accuracy operations. old system relied on manual processes human decision-making, while new automates routine tasks, provides treatment plans, reduces costs outcomes. However, it important ensure ethically responsibly, its impact workforce society carefully considered. major benefit integrating into specific within field improved care. Overall, provide an insight transformative field.

Язык: Английский

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Assertiveness-based Agent Communication for a Personalized Medicine on Medical Imaging Diagnosis

Опубликована: Апрель 19, 2023

Intelligent agents are showing increasing promise for clinical decision-making in a variety of healthcare settings. While substantial body work has contributed to the best strategies convey these agents' decisions clinicians, few have considered impact personalizing and customizing communications on clinicians' performance receptiveness. This raises question how intelligent should adapt their tone accordance with target audience. We designed two approaches communicate an agent breast cancer diagnosis different tones: suggestive (non-assertive) imposing (assertive) one. used inform about: (1) number detected findings; (2) severity each per medical imaging modality; (3) visual scale representing estimates; (4) sensitivity specificity agent; (5) arguments patient, such as pathological co-variables. Our results demonstrate that assertiveness plays important role this communication is perceived its benefits. show according professional experience clinician can reduce errors increase satisfaction, bringing novel perspective design adaptive between clinicians.

Язык: Английский

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Artificial Intelligence in Genetics

Cureus, Год журнала: 2024, Номер unknown

Опубликована: Янв. 10, 2024

The simulation of human intelligence in robots that are designed to think and learn like humans is known as artificial (AI). AI creating a world has never been seen before. By applying do jobs would otherwise take long time, have the chance improve our planet. great potential genetic engineering gene therapy research. powerful tool for new hypotheses helping with experimental techniques. From previous data model, it can help detection heredity gene-related disorders. developments offer an excellent possibility rational drug discovery design, eventually impacting humanity. Drug development depend greatly on machine learning (ML) technology. Genetics not exception this trend, ML expected impact nearly every aspect experience. significantly aided treatment various biomedical conditions, including In both basic applied research, deep - highly versatile branch enables autonomous feature extraction increasingly exploited. review, we cover broad spectrum current uses genetics. enormous field genetics, but its advancement area may be hampered future by lack knowledge about accompanying difficulties could mask any possible benefits patients. This paper examines AI's significance advancing precision disease treatment, provides peek at use clinical care, number existing clinician primer critical aspects these technologies, makes predictions applications illnesses.

Язык: Английский

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Artificial intelligence for cardiovascular disease risk assessment in personalised framework: a scoping review

EClinicalMedicine, Год журнала: 2024, Номер 73, С. 102660 - 102660

Опубликована: Май 27, 2024

Язык: Английский

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Towards revolutionizing precision healthcare: A systematic literature review of artificial intelligence methods in precision medicine

Informatics in Medicine Unlocked, Год журнала: 2024, Номер 46, С. 101475 - 101475

Опубликована: Янв. 1, 2024

In the realm of medicine, artificial intelligence (AI) has emerged as a transformative force, harnessing power to convert raw data into meaningful insights. Rather than supplanting discernment physicians, AI serves an unprecedented enabler, equipping them with unimaginable tools. Its far-reaching applications encompass drug discovery, disease diagnosis, prognosis, treatment optimization, and outcome prediction. This technological revolution owes much prowess machine learning algorithms, which adeptly process multifaceted data. Consequently, is poised become integral pillar digital health systems, shaping bolstering personalized medicine. The current landscape abuzz AI's exponential growth, fueling surge research ventures aimed at enhancing medical practices. By delving precision this paper endeavors scrutinize evaluate recent advancements in healthcare pertaining utilization (ML) deep (DL) algorithms. systematic review comprehensively encompasses previously published works, dissecting key concepts, innovations, significant contributions, pivotal enabling techniques. Aspiring equip readers profound understanding invaluable insights, proves indispensable those dedicated exploring state-of-the-art contributing future literature domain.

Язык: Английский

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