The Utility of Language Models in Cardiology: A Narrative Review of the Benefits and Concerns of ChatGPT-4

International Journal of Environmental Research and Public Health, Journal Year: 2023, Volume and Issue: 20(15), P. 6438 - 6438

Published: July 25, 2023

Artificial intelligence (AI) and language models such as ChatGPT-4 (Generative Pretrained Transformer) have made tremendous advances recently are rapidly transforming the landscape of medicine. Cardiology is among many specialties that utilize AI with intention improving patient care. Generative AI, use its advanced machine learning algorithms, has potential to diagnose heart disease recommend management options suitable for patient. This may lead improved outcomes not only by recommending best treatment plan but also increasing physician efficiency. Language could assist physicians administrative tasks, allowing them spend more time on However, there several concerns in field These technologies be most up-to-date latest research provide outdated information, which an adverse event. Secondly, tools can expensive, leading increased healthcare costs reduced accessibility general population. There concern about loss human touch empathy becomes mainstream. Healthcare professionals would need adequately trained these tools. While beneficial traits, all providers involved aware generative so assure optimal mitigate any risks challenges associated implementation. In this review, we discuss various uses cardiology.

Language: Английский

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Navigating Generative Artificial Intelligence Promises and Perils for Knowledge and Creative Work

Journal of the Association for Information Systems, Journal Year: 2024, Volume and Issue: 25(1), P. 23 - 36

Published: Jan. 1, 2024

Generative artificial intelligence (GenAI) is rapidly becoming a viable tool to enhance productivity and act as catalyst for innovation across various sectors. Its ability perform tasks that have traditionally required human judgment creativity transforming knowledge creative work. Yet it also raises concerns implications could reshape the very landscape of In this editorial, we undertake an in-depth examination both opportunities challenges presented by GenAI future IS research.

Language: Английский

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“I Wonder if my Years of Training and Expertise Will be Devalued by Machines”: Concerns About the Replacement of Medical Professionals by Artificial Intelligence

SAGE Open Nursing, Journal Year: 2024, Volume and Issue: 10

Published: Jan. 1, 2024

The rapid integration of artificial intelligence (AI) into healthcare has raised concerns among professionals about the potential displacement human medical by AI technologies. However, apprehensions and perspectives workers regarding substitution them with are unknown.

Language: Английский

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Traditional, complementary, and integrative medicine and artificial intelligence: Novel opportunities in healthcare

Integrative Medicine Research, Journal Year: 2024, Volume and Issue: 13(1), P. 101024 - 101024

Published: Feb. 9, 2024

The convergence of traditional, complementary, and integrative medicine (TCIM) with artificial intelligence (AI) is a promising frontier in healthcare. TCIM patient-centric approach that combines conventional complementary therapies, emphasizing holistic well-being. AI can revolutionize healthcare through data-driven decision-making personalized treatment plans. This article explores how technologies complement enhance TCIM, aligning the shared objectives researchers from both fields improving patient outcomes, enhancing care quality, promoting wellness. integration introduces exciting opportunities but also noteworthy challenges. may augment by assisting early disease detection, providing plans, predicting health trends, engagement. Challenges at intersection include data privacy security, regulatory complexities, maintaining human touch patient-provider relationships, mitigating bias algorithms. Patients' trust, informed consent, legal accountability are all essential considerations. Future directions AI-enhanced advanced medicine, understanding efficacy herbal remedies, studying interactions. Research on mitigation, acceptance, trust AI-driven crucial. In this article, we outlined merging holds great promise delivery, personalizing preventive care, Addressing challenges fostering collaboration between experts, practitioners, policymakers, however, vital to harnessing full potential integration.

Language: Английский

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Ethical considerations and concerns in the implementation of AI in pharmacy practice: a cross-sectional study

BMC Medical Ethics, Journal Year: 2024, Volume and Issue: 25(1)

Published: May 16, 2024

Abstract Background Integrating artificial intelligence (AI) into healthcare has raised significant ethical concerns. In pharmacy practice, AI offers promising advances but also poses challenges. Methods A cross-sectional study was conducted in countries from the Middle East and North Africa (MENA) region on 501 professionals. 12-item online questionnaire assessed concerns related to adoption of practice. Demographic factors associated with were analyzed via SPSS v.27 software using appropriate statistical tests. Results Participants expressed about patient data privacy (58.9%), cybersecurity threats potential job displacement (62.9%), lack legal regulation (67.0%). Tech-savviness basic understanding correlated higher concern scores ( p < 0.001). Ethical implications include need for informed consent, beneficence, justice, transparency use AI. Conclusion The findings emphasize importance guidelines, education, autonomy adopting Collaboration, privacy, equitable access are crucial responsible

Language: Английский

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Envisioning the Future of ChatGPT in Healthcare: Insights and Recommendations from a Systematic Identification of Influential Research and a Call for Papers

Jordan Medical Journal, Journal Year: 2024, Volume and Issue: 58(1)

Published: Feb. 19, 2024

Background and Aims: ChatGPT represents the most popular widely used generative artificial intelligence (AI) model that received significant attention in healthcare research. The aim of current study was to assess future trajectory needed research this domain based on recommendations top influential published records. Materials Methods: A systematic search conducted Scopus, Web Science, Google Scholar (27–30 November 2023) identify ten ChatGPT-related records across three databases. Classification as “top” denoting high influence field citation counts. Results: total 22 unique from 17 different journals representing 14 publishers were identified publications subject. Based records’ recommendations, following themes appeared important areas consider healthcare: improving education, improved efficiency clinical processes (e.g., documentation), addressing ethical concerns patient privacy consent), supporting tasks data analysis, manuscript preparation), mitigating output biases, education engagement, developing standardized assessment protocols for utility healthcare. Conclusions: review highlighted key be prioritized healthcare. Interdisciplinary collaborations standardizing methodologies are synthesize robust evidence these studies. promising potential healthcare, JMJ launched a call papers special issue entitled “Evaluating Generative AI-Based Models Healthcare”.

Language: Английский

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The role of artificial intelligence in pandemic responses: from epidemiological modeling to vaccine development

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

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Third-party evaluators perceive AI as more compassionate than expert humans

Communications Psychology, Journal Year: 2025, Volume and Issue: 3(1)

Published: Jan. 10, 2025

Abstract Empathy connects us but strains under demanding settings. This study explored how third parties evaluated AI-generated empathetic responses versus human in terms of compassion, responsiveness, and overall preference across four preregistered experiments. Participants ( N = 556) read empathy prompts describing valenced personal experiences compared the AI to select non-expert or expert humans. Results revealed that were preferred rated as more compassionate responders (Study 1). pattern results remained when author identity was made transparent 2), crisis 3), disclosed all participants 4). Third perceived being responsive—conveying understanding, validation, care—which partially explained AI’s higher compassion ratings Study 4. These findings suggest has robust utility contexts requiring interaction, with potential address increasing need for supportive communication contexts.

Language: Английский

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Artificial Intelligence in Nursing: New Opportunities and Challenges

European Journal of Education, Journal Year: 2025, Volume and Issue: 60(1)

Published: Jan. 31, 2025

ABSTRACT To explore the opportunities and challenges of artificial intelligence (AI) in nursing its impact. Bibliographic review using Arksey O'Malley's framework, enhanced by Levac, Colquhoun O'Brien following PRISMA guidelines, including qualitative mixed studies. MeSH terms keywords such as education ethical considerations were used databases PubMed, Scopus, Web Science, CINAHL, IEEE Xplore Google Scholar. Of all, 53 studies included, highlighting various AI integration for personalised learning, training improvement evaluation. Highlighting related to academic integrity, accuracy, data privacy security, development critical thinking skills. The offers significant advantages improving quality effectiveness education, equitable access, this reason, faculty should be geared toward education.

Language: Английский

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An In-Depth Exploration of AI and Humanoid Robotics' Role in Contemporary Healthcare

Advances in medical technologies and clinical practice book series, Journal Year: 2024, Volume and Issue: unknown, P. 42 - 61

Published: March 11, 2024

In contemporary healthcare, artificial intelligence (AI) and humanoid robotics are transformative forces, revolutionizing patient care medical practices. AI algorithms analyze vast datasets to enhance diagnostic accuracy, enabling early disease detection personalized treatment plans. Humanoid robots, equipped with AI, assist in repetitive tasks, monitoring, even surgery, augmenting healthcare professionals' capabilities. This synergy between not only improves efficiency but also fosters engagement empowers providers. These technologies streamline administrative processes, reduce errors, facilitate remote monitoring. However, ethical considerations the need for responsible deployment must be addressed. Despite challenges, integration of marks a paradigm shift promising more precise diagnoses, efficient treatments, ultimately, improved outcomes ever-evolving landscape science.

Language: Английский

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