ChatGPT applications in medical, dental, pharmacy, and public health education: A descriptive study highlighting the advantages and limitations

Narra J, Journal Year: 2023, Volume and Issue: 3(1), P. e103 - e103

Published: March 29, 2023

Since its public release in November 2022, ChatGPT has gained a widespread attention and received mixed responses the academia. Promising applications of university education been suggested; however, several concerns were raised. The aim this descriptive study was to investigate pros cons use medical, dental, pharmacy, health education. Based on expert panel discussion review existing literature, specific concise prompts constructed generated 25 February 2023. Out data suggested that medical education, benefits included possibility improving personalized learning, clinical reasoning understanding complex concepts. listed context dental improved skills through step-by-step instructions interactive content, with instant feedback student techniques. In pharmacy advantages possible explanations subjects deployment tools aiding develop for patient counselling. providing case scenarios, besides analysis literature review. limitations based ChatGPT-generated content common across all investigated healthcare disciplines privacy issues, risk generating biased inaccurate deterioration critical thinking communication among students. deemed partially helpful by panel. However, important points regarding missed including: plagiarism, copyright academic dishonesty, lack personal emotional interactions necessary developing proper conclusion, despite promising prospects drawbacks should be addressed implementation guidelines ensure exploiting innovative technology.

Language: Английский

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Artificial Intelligence and Healthcare: A Journey through History, Present Innovations, and Future Possibilities

Life, Journal Year: 2024, Volume and Issue: 14(5), P. 557 - 557

Published: April 26, 2024

Artificial intelligence (AI) has emerged as a powerful tool in healthcare significantly impacting practices from diagnostics to treatment delivery and patient management. This article examines the progress of AI healthcare, starting field's inception 1960s present-day innovative applications areas such precision medicine, robotic surgery, drug development. In addition, impact COVID-19 pandemic on acceleration use technologies telemedicine chatbots enhance accessibility improve medical education is also explored. Looking forward, paper speculates promising future while critically addressing ethical societal considerations that accompany integration technologies. Furthermore, potential mitigate health disparities implications surrounding data usage privacy are discussed, emphasizing need for evolving guidelines govern AI's application healthcare.

Language: Английский

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Potential applications and implications of large language models in primary care

Family Medicine and Community Health, Journal Year: 2024, Volume and Issue: 12(Suppl 1), P. e002602 - e002602

Published: Jan. 1, 2024

The recent release of highly advanced generative artificial intelligence (AI) chatbots, including ChatGPT and Bard, which are powered by large language models (LLMs), has attracted growing mainstream interest over its diverse applications in clinical practice, health healthcare. potential LLM-based programmes the medical field range from assisting practitioners improving their decision-making streamlining administrative paperwork to empowering patients take charge own health. However, despite broad benefits, use such AI tools also comes with several limitations ethical concerns that warrant further consideration, encompassing issues related privacy, data bias, accuracy reliability information generated AI. focus prior research primarily centred on LLMs medicine. To author’s knowledge, this is, first article consolidates current pertinent literature examine primary care. objectives paper not only summarise risks challenges using care, but offer insights into considerations care clinicians should account when deciding adopt integrate technologies practice.

Language: Английский

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Chatbots in Health Care: Connecting Patients to Information

Canadian Journal of Health Technologies, Journal Year: 2024, Volume and Issue: 4(1)

Published: Jan. 22, 2024

Why Is This an Issue? Artificial intelligence (AI) is increasingly being used in health care settings. Chatbots geared toward patient use are becoming more widely available, but the clinical evidence of their effectiveness remains limited. What Technology? AI-based chatbots computer programs or software applications that have been designed to engage simulated conversation with humans using humanlike language. can help save time and allow them focus on high-level creative strategic thinking by taking over routine repetitive tasks, such as automated customer service chats, appointments, staff scheduling. Potential Impact? Anyone access internet-enabled a smartphone could these information. provide patients 24/7 information, symptom assessment, supportive medication reminders, appointment scheduling, allowing information when providers unavailable. There appear be trends efficacy user satisfaction, support still established. Existing mostly free for access, although some developers charge fees additional features content. Some apps may prescribed providers. These covered insurance licensed developer. Else Do We Need Know? Ethical data privacy issues remain top mind considering widespread implementation settings. ChatGPT other AI tools were not developed specifically do necessarily level required information. They also trained historical datasets responses based most current recommendations data. The development AI-specific ethical frameworks facilitate safer consistent preventing misuse technologies minimizing spread misinformation. require human oversight terms moderation troubleshooting.

Language: Английский

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Artificial intelligence compared with human-derived patient educational materials on cirrhosis

Hepatology Communications, Journal Year: 2024, Volume and Issue: 8(3)

Published: Feb. 14, 2024

The study compared the readability, grade level, understandability, actionability, and accuracy of standard patient educational material against artificial intelligence chatbot-derived regarding cirrhosis.

Language: Английский

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Chatbots to Improve Sexual and Reproductive Health: Realist Synthesis

Journal of Medical Internet Research, Journal Year: 2023, Volume and Issue: 25, P. e46761 - e46761

Published: May 26, 2023

Digital technologies may improve sexual and reproductive health (SRH) across diverse settings. Chatbots are computer programs designed to simulate human conversation, there is a growing interest in the potential for chatbots provide responsive accurate information, counseling, linkages products services, or companion on an SRH journey.This review aimed identify assumptions about value of collate evidence support them.We used realist approach that starts with initial program theory generates causal explanations form context, mechanism, outcome configurations test develop theory. We generated our theory, drawing expertise research team, then searched literature add depth this evidence.The supports which suggests promising intervention information service delivery. This because offer anonymous nonjudgmental interactions encourage disclosure personal complex conversational tone increases understanding, link conversations within web-based offline social networks, immediate provision 24/7 by automating some tasks, long-term relationships users who return over time. However, be less valuable where people find any conversation (even chatbot) stigmatizing, those lack confidential access digital devices, do not feel natural, developed as stand-alone interventions without reference contexts.Chatbots could further automate simple tasks They should prioritize achieving authentic tone, facilitate content sharing relationship building their users, integrated into wider networks.

Language: Английский

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Potential of AI-Driven Chatbots in Urology: Revolutionizing Patient Care Through Artificial Intelligence

Current Urology Reports, Journal Year: 2023, Volume and Issue: 25(1), P. 9 - 18

Published: Sept. 19, 2023

Abstract Purpose of Review Artificial intelligence (AI) chatbots have emerged as a potential tool to transform urology by improving patient care and physician efficiency. With an emphasis on their advantages drawbacks, this literature review offers thorough assessment the state AI-driven in today. Recent Findings The capacity give patients individualized timely medical advice is one its key advantages. Chatbots can help prioritize symptoms best course treatment. By automating administrative duties offering clinical decision support, also healthcare providers. Before are widely used urology, there few issues that need be resolved. precision chatbot diagnoses recommendations might impacted technical constraints like system errors flaws. Additionally, regarding security privacy data must resolved, adhere all applicable laws. Important addressed include accuracy dependability because any mistakes or inaccuracies could seriously harm patients. final obstacle resistance from professionals who hesitant use new technology value in-person encounters. Summary significantly improve However, it essential thoroughly test ensure chatbots, address concerns, design user-friendly integrate into existing workflows. exploring various scenarios examining current literature, provides analysis prospects limitations implementing urology.

Language: Английский

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Evaluating ChatGPT performance in Arabic dialects: A comparative study showing defects in responding to Jordanian and Tunisian general health prompts

Mesopotamian Journal of Artificial Intelligence in Healthcare, Journal Year: 2024, Volume and Issue: 2024, P. 1 - 7

Published: Jan. 10, 2024

Background: The role of artificial intelligence (AI) is increasingly recognized to enhance digital health literacy. There particular importance with widespread availability and popularity AI chatbots such as ChatGPT its possible impact on involves the need understand models’ performance across different languages, dialects, cultural contexts. This study aimed evaluate in response prompting two Arabic namely Tunisian Jordanian. Methods: descriptive followed METRICS checklist for design reporting based studies healthcare. Ten general queries were translated into Jordanian dialects by bilingual native speakers. models, ChatGPT-3.5 ChatGPT-4 Tunisian, Jordanian, English evaluated using CLEAR tool tailored assessment information generated models. Results: was categorized average Arabic, an overall score 2.83, compared above 3.40 Arabic. showed a similar pattern marginally better outcomes 3.20 rated 3.53. components consistently superior dialect both models despite lack statistical significance. Using content reference, responses significantly inferior (P<.001). Conclusion: findings highlight critical dialectical gap ChatGPT, underlining linguistic diversity development, particularly health-related content. Collaborative efforts among developers, linguists, healthcare professionals are needed improve Future recommended broaden scope extensive range languages which would help achieving equitable access various communities.

Language: Английский

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Ethical Considerations in Human-Centered AI: Advancing Oncology Chatbots through Large Language Models (Preprint)

JMIR Bioinformatics and Biotechnology, Journal Year: 2024, Volume and Issue: 5, P. e64406 - e64406

Published: Sept. 25, 2024

The integration of chatbots in oncology underscores the pressing need for human-centered artificial intelligence (AI) that addresses patient and family concerns with empathy precision. Human-centered AI emphasizes ethical principles, empathy, user-centric approaches, ensuring technology aligns human values needs. This review critically examines implications using large language models (LLMs) like GPT-3 GPT-4 (OpenAI) chatbots. It how these replicate human-like patterns, impacting design systems. paper identifies key strategies ethically developing chatbots, focusing on potential biases arising from extensive datasets neural networks. Specific datasets, such as those sourced predominantly Western medical literature interactions, may introduce by overrepresenting certain demographic groups. Moreover, training methodologies LLMs, including fine-tuning processes, can exacerbate biases, leading to outputs disproportionately favor affluent or populations while neglecting marginalized communities. By providing examples biased highlights challenges LLMs present mitigation strategies. study integrating human-centric into mitigate ultimately advocating development are aligned principles capable serving diverse equitably.

Language: Английский

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Conversational AI facilitates mental health assessments and is associated with improved recovery rates

BMJ Innovations, Journal Year: 2024, Volume and Issue: 10(1-2), P. 4 - 12

Published: Jan. 1, 2024

Mental health services across the globe are overburdened due to increased patient need for psychological therapies and a shortage of qualified mental practitioners. This is unlikely change in short-to-medium term. Digital support urgently needed facilitate access healthcare while creating efficiencies service delivery. In this paper, we evaluate use conversational artificial intelligence (AI) solution ( Limbic Access ) assist both patients practitioners with referral, triage, clinical assessment mild-to-moderate adult illness. Assessing context England’s National Health Service (NHS) Talking Therapies services, demonstrate cohort study design that deploying such an AI associated improved recovery rates. We find those NHS introduced their rates, comparable country reported deteriorating rates during same time period. Further, provide economic analysis indicating usage can be highly cost-effective relative other methods improving Together, these results highlight potential solutions delivery quality care worsening workforce supply system overburdening. For transparency, authors paper declare our conflict interest as employees shareholders Access, referred paper.

Language: Английский

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