ChatGPT Utility in Healthcare Education, Research, and Practice: Systematic Review on the Promising Perspectives and Valid Concerns

Healthcare, Journal Year: 2023, Volume and Issue: 11(6), P. 887 - 887

Published: March 19, 2023

ChatGPT is an artificial intelligence (AI)-based conversational large language model (LLM). The potential applications of LLMs in health care education, research, and practice could be promising if the associated valid concerns are proactively examined addressed. current systematic review aimed to investigate utility highlight its limitations. Using PRIMSA guidelines, a search was conducted retrieve English records PubMed/MEDLINE Google Scholar (published research or preprints) that context practice. A total 60 were eligible for inclusion. Benefits cited 51/60 (85.0%) included: (1) improved scientific writing enhancing equity versatility; (2) (efficient analysis datasets, code generation, literature reviews, saving time focus on experimental design, drug discovery development); (3) benefits (streamlining workflow, cost saving, documentation, personalized medicine, literacy); (4) education including learning critical thinking problem-based learning. Concerns regarding use stated 58/60 (96.7%) ethical, copyright, transparency, legal issues, risk bias, plagiarism, lack originality, inaccurate content with hallucination, limited knowledge, incorrect citations, cybersecurity infodemics. can induce paradigm shifts However, embrace this AI chatbot should extreme caution considering As it currently stands, does not qualify listed as author articles unless ICMJE/COPE guidelines revised amended. An initiative involving all stakeholders urgently needed. This will help set ethics guide responsible among other academia.

Language: Английский

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Revolutionizing healthcare: the role of artificial intelligence in clinical practice

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

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Artificial Intelligence in Pharmaceutical Technology and Drug Delivery Design

Pharmaceutics, Journal Year: 2023, Volume and Issue: 15(7), P. 1916 - 1916

Published: July 10, 2023

Artificial intelligence (AI) has emerged as a powerful tool that harnesses anthropomorphic knowledge and provides expedited solutions to complex challenges. Remarkable advancements in AI technology machine learning present transformative opportunity the drug discovery, formulation, testing of pharmaceutical dosage forms. By utilizing algorithms analyze extensive biological data, including genomics proteomics, researchers can identify disease-associated targets predict their interactions with potential candidates. This enables more efficient targeted approach thereby increasing likelihood successful approvals. Furthermore, contribute reducing development costs by optimizing research processes. Machine assist experimental design pharmacokinetics toxicity capability prioritization optimization lead compounds, need for costly animal testing. Personalized medicine approaches be facilitated through real-world patient leading effective treatment outcomes improved adherence. comprehensive review explores wide-ranging applications delivery form designs, process optimization, testing, pharmacokinetics/pharmacodynamics (PK/PD) studies. an overview various AI-based utilized technology, highlighting benefits drawbacks. Nevertheless, continued investment exploration industry offer exciting prospects enhancing processes care.

Language: Английский

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Polymer 3D Printing Review: Materials, Process, and Design Strategies for Medical Applications

Polymers, Journal Year: 2021, Volume and Issue: 13(9), P. 1499 - 1499

Published: May 6, 2021

Polymer 3D printing is an emerging technology with recent research translating towards increased use in industry, particularly medical fields. advantageous because it enables low-cost functional parts diverse properties and capabilities. Here, we provide a review of advances for polymer by investigating related to materials, processes, design strategies applications. Research materials has led the development polymers characteristics mechanics biocompatibility, tuning mechanical achieved altering process parameters. Suitable processes include extrusion, resin, powder printing, which enable directed material deposition customized architectures. Design strategies, such as hierarchical distribution balancing conflicting properties, biological needs tissue scaffolds. Further applications reviewed safety equipment, dental implants, drug delivery systems, findings suggesting need improved methods navigate complex decision space enabled printing. across these areas will lead continued improvement 3D-printed performance that essential advancing frontiers engineering medicine.

Language: Английский

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Bias in artificial intelligence algorithms and recommendations for mitigation

PLOS Digital Health, Journal Year: 2023, Volume and Issue: 2(6), P. e0000278 - e0000278

Published: June 22, 2023

The adoption of artificial intelligence (AI) algorithms is rapidly increasing in healthcare. Such may be shaped by various factors such as social determinants health that can influence outcomes. While AI have been proposed a tool to expand the reach quality healthcare underserved communities and improve equity, recent literature has raised concerns about propagation biases disparities through implementation these algorithms. Thus, it critical understand sources bias inherent AI-based This review aims highlight potential within each step developing healthcare, starting from framing problem, data collection, preprocessing, development, validation, well their full implementation. For steps, we also discuss strategies mitigate disparities. A checklist was developed with recommendations for reducing during development stages. It important developers users keep considerations mind advance equity all populations.

Language: Английский

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The Utility of ChatGPT as an Example of Large Language Models in Healthcare Education, Research and Practice: Systematic Review on the Future Perspectives and Potential Limitations

medRxiv (Cold Spring Harbor Laboratory), Journal Year: 2023, Volume and Issue: unknown

Published: Feb. 21, 2023

Abstract An artificial intelligence (AI)-based conversational large language model (LLM) was launched in November 2022 namely, “ChatGPT”. Despite the wide array of potential applications LLMs healthcare education, research and practice, several valid concerns were raised. The current systematic review aimed to investigate possible utility ChatGPT highlight its limitations practice. Using PRIMSA guidelines, a search conducted retrieve English records PubMed/MEDLINE Google Scholar under term Eligibility criteria included published or preprints any type that discussed context A total 280 identified, following full screening, 60 eligible for inclusion. Benefits/applications cited 51/60 (85.0%) with most common being scientific writing followed by benefits (efficient analysis massive datasets, code generation rapid concise literature reviews besides drug discovery development). Benefits practice cost saving, documentation, personalized medicine improved health literacy. Concerns/possible risks use expressed 58/60 (96.7%) ethical issues including risk bias, plagiarism, copyright issues, transparency legal lack originality, incorrect responses, limited knowledge, inaccurate citations. promising which can result paradigm shifts embrace this application should be done extreme caution. Specific education include learning tools shift towards more focus on critical thinking problem-based learning. In valuable streamlining workflow refining medicine. Saving time experimental design enhancing equity versatility are research. Regarding authorship articles, as it currently stands, does not qualify listed an author unless ICMJE/COPE guidelines revised amended. initiative involving all stakeholders involved is urgently needed set ethics conduct responsible practices among other LLMs.

Language: Английский

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The All of Us Research Program: Data quality, utility, and diversity

Patterns, Journal Year: 2022, Volume and Issue: 3(8), P. 100570 - 100570

Published: Aug. 1, 2022

The

Language: Английский

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The Role of AI in Hospitals and Clinics: Transforming Healthcare in the 21st Century

Bioengineering, Journal Year: 2024, Volume and Issue: 11(4), P. 337 - 337

Published: March 29, 2024

As healthcare systems around the world face challenges such as escalating costs, limited access, and growing demand for personalized care, artificial intelligence (AI) is emerging a key force transformation. This review motivated by urgent need to harness AI’s potential mitigate these issues aims critically assess integration in different domains. We explore how AI empowers clinical decision-making, optimizes hospital operation management, refines medical image analysis, revolutionizes patient care monitoring through AI-powered wearables. Through several case studies, we has transformed specific domains discuss remaining possible solutions. Additionally, will methodologies assessing solutions, ethical of deployment, importance data privacy bias mitigation responsible technology use. By presenting critical assessment transformative potential, this equips researchers with deeper understanding current future impact on healthcare. It encourages an interdisciplinary dialogue between researchers, clinicians, technologists navigate complexities implementation, fostering development AI-driven solutions that prioritize standards, equity, patient-centered approach.

Language: Английский

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Artificial intelligence in clinical medicine: catalyzing a sustainable global healthcare paradigm

Frontiers in Artificial Intelligence, Journal Year: 2023, Volume and Issue: 6

Published: Aug. 29, 2023

As the demand for quality healthcare increases, systems worldwide are grappling with time constraints and excessive workloads, which can compromise of patient care. Artificial intelligence (AI) has emerged as a powerful tool in clinical medicine, revolutionizing various aspects care medical research. The integration AI medicine not only improved diagnostic accuracy treatment outcomes, but also contributed to more efficient delivery, reduced costs, facilitated better experiences. This review article provides an extensive overview applications history taking, examination, imaging, therapeutics, prognosis Furthermore, it highlights critical role played transforming developing nations.

Language: Английский

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Back to Nature: Medicinal Plants as Promising Sources for Antibacterial Drugs in the Post-Antibiotic Era

Plants, Journal Year: 2023, Volume and Issue: 12(17), P. 3077 - 3077

Published: Aug. 28, 2023

Undoubtedly, the advent of antibiotics in 19th century had a substantial impact, increasing human life expectancy. However, multitude scientific investigations now indicate that we are currently experiencing phase known as post-antibiotic era. There is genuine concern might regress to time before and confront widespread outbreaks severe epidemic diseases, particularly those caused by bacterial infections. These have demonstrated epidemics thrive under environmental stressors such climate change, depletion natural resources, detrimental activities wars, conflicts, antibiotic overuse, pollution. Moreover, bacteria possess remarkable ability adapt mutate. Unfortunately, current development insufficient, future appears grim unless abandon our approach generating synthetic rapidly lose their effectiveness against multidrug-resistant bacteria. Despite vital role modern medicine, medicinal plants served primary source curative drugs since ancient times. Numerous reports published over past three decades suggest could serve promising alternative ineffective combating infectious diseases. Over few years, phenolic compounds, alkaloids, saponins, terpenoids exhibited noteworthy antibacterial potential, primarily through membrane-disruption mechanisms, protein binding, interference with intermediary metabolism, anti-quorum sensing, anti-biofilm activity. optimize utilization effective drugs, further advancements omics technologies network pharmacology will be required order identify optimal combinations among these compounds or conjunction antibiotics.

Language: Английский

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