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

Narra J, Год журнала: 2023, Номер 3(1), С. e103 - e103

Опубликована: Март 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.

Язык: Английский

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Artificial Intelligence and Ten Societal Megatrends: An Exploratory Study Using GPT-3

Systems, Год журнала: 2023, Номер 11(3), С. 120 - 120

Опубликована: Фев. 24, 2023

This paper examines the potential of artificial intelligence (AI) to address societal megatrends, with a specific focus on OpenAI’s Generative Pre-Trained Transformer 3 (GPT-3). To do this, we conducted an analysis using GPT-3 in order explore benefits AI for digitalization, urbanization, globalization, climate change, automation and mobility, global health issues, aging population. We also looked at emerging markets as well sustainability this study. Interaction was solely through prompt questions, generated responses were analyzed. Our results indicate that can significantly improve our understanding these megatrends by providing insights into how they develop over time which solutions could be implemented. Further research is needed determine effective will addressing them successfully, but initial findings are encouraging. discussion focuses implications society going forward suggests further investigation should best utilize new technologies such when tackling challenges. Lastly, conclude that, while there still much work left before any tangible effects seen from utilizing tools early indications suggest it may have positive impact if used correctly.

Язык: Английский

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Artificial Intelligence and Public Health: An Exploratory Study

International Journal of Environmental Research and Public Health, Год журнала: 2023, Номер 20(5), С. 4541 - 4541

Опубликована: Март 3, 2023

Artificial intelligence (AI) has the potential to revolutionize research by automating data analysis, generating new insights, and supporting discovery of knowledge. The top 10 contribution areas AI towards public health were gathered in this exploratory study. We utilized “text-davinci-003” model GPT-3, using OpenAI playground default parameters. was trained with largest training dataset any had, limited a cut-off date 2021. This study aimed test ability GPT-3 advance explore feasibility as scientific co-author. asked for structured input, including quotations, reviewed responses plausibility. found that able assemble, summarize, generate plausible text blocks relevant concerns, elucidating valuable application itself. However, most quotations purely invented thus invalid. Our showed can contribute team member. According authorship guidelines, ultimately not listed co-author, it would be done human researcher. conclude good practice also needs followed contributions, broad discourse on contributions is needed.

Язык: Английский

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Artificial Intelligence Systems Assisting in the Assessment of the Course and Retention of Orthodontic Treatment

Healthcare, Год журнала: 2023, Номер 11(5), С. 683 - 683

Опубликована: Фев. 25, 2023

This scoping review examines the contemporary applications of advanced artificial intelligence (AI) software in orthodontics, focusing on its potential to improve daily working protocols, but also highlighting limitations. The aim was evaluate accuracy and efficiency current AI-based systems compared conventional methods diagnosing, assessing progress patients’ treatment follow-up stability. researchers used various online databases identified diagnostic dental monitoring as most studied orthodontics. former can accurately identify anatomical landmarks for cephalometric analysis, while latter enables orthodontists thoroughly monitor each patient, determine specific desired outcomes, track progress, warn changes pre-existing pathology. However, there is limited evidence assess stability outcomes relapse detection. study concludes that AI an effective tool managing orthodontic from diagnosis retention, benefiting both patients clinicians. Patients find easy use feel better cared for, clinicians make diagnoses more easily compliance damage braces or aligners quickly frequently.

Язык: Английский

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Implications of ChatGPT in Public Health Dentistry: A Systematic Review

Cureus, Год журнала: 2023, Номер unknown

Опубликована: Июнь 13, 2023

An artificial intelligence (AI) program called ChatGPT that generates text in response to typed commands has proven be highly popular, as evidenced by the fact OpenAI makes it available online. The goal of present investigation was investigate ChatGPT's potential applications an outstanding instance large language models (LLMs) fields public dental health schooling, writing for academic use, research health, and clinical practice based on data. Importantly, goals current review included locating any drawbacks issues might connected using previously mentioned contexts healthcare settings. Using search phrases including chatGPT, implications, (AI), dentistry, education etc., a thorough carried out Pubmed database, Embase Ovid Global Health PsycINFO, Web Science. dates publication were not restricted. Systematic searches all publications according inclusion exclusion criteria between March 31, 2018, 2023. Eighty-four papers obtained through literature terms. Sixteen similar duplicate excluded 68 distinct articles initially selected. Thirty-three after reviewing abstracts titles. Thirty-five selected, which full managed. Four extra found manually from references. Thirty-nine with texts eligible study. Eighteen inadequate are final 21 studies finally selected systemic review. According published studies, demonstrated its effectiveness helping scholars authoring scientific studies. If right structures created, can offer suitable responses more time concentrate phase experimentation scientists. Risks include prejudice training data, undervaluing human skills, possibility fraud science, well legal reproducibility concerns. It concluded considering significance, research's uniqueness, premise-the activity brain-remains. While there is no question about superiority incorporating into does not, way, take place dentist since involves than just making diagnoses; also relating findings providing individualized patient care. Even though AI useful number ways, must ultimately make decision because dentistry field several disciplines.

Язык: Английский

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Current Status and Future of Artificial Intelligence in Medicine

Cureus, Год журнала: 2025, Номер unknown

Опубликована: Янв. 16, 2025

Artificial intelligence (AI) has rapidly emerged as a transformative force in medicine, revolutionizing various aspects of healthcare from diagnostics and treatment to public health patient care. This narrative review synthesizes evidence diverse study designs, exploring the current future applications AI medicine. We highlight AI's role improving diagnostic accuracy, optimizing strategies, enhancing care through personalized interventions remote monitoring, drawing upon recent advancements landmark studies. Emerging trends such explainable federated learning are also examined. While acknowledging tremendous potential addresses barriers ethical challenges that need be overcome, including concerns about algorithmic bias, transparency, over-reliance, impact on workforce. emphasize importance establishing regulatory guidelines, fostering collaboration between clinicians developers, ensuring ongoing education for professionals. Despite these challenges, medicine holds immense promise, with significantly improve outcomes, transform delivery, address disparities.

Язык: Английский

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The Chatbots Are Invading Us: A Map Point on the Evolution, Applications, Opportunities, and Emerging Problems in the Health Domain

Life, Год журнала: 2023, Номер 13(5), С. 1130 - 1130

Опубликована: Май 5, 2023

The inclusion of chatbots is potentially disruptive in society, introducing opportunities, but also important implications that need to be addressed on different domains. aim this study examine in-depth, by mapping out their technological evolution, current usage, and potential applications, emerging problems within the health domain. examined three points view. first point view traces evolution chatbots. second reports fields application chatbots, giving space expectations use expected benefits from a cross-domain view, affecting third main analysis state domain based scientific literature represented systematic reviews. overview identified topics greatest interest with opportunities. revealed for initiatives simultaneously evaluate multiple domains all together synergistic way. Concerted efforts achieve are recommended. It believed monitor both process osmosis between other sectors domain, as well can create psychological behavioural an impact

Язык: Английский

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Ten Years of TeleHealth and Digital Healthcare: Where Are We?

Healthcare, Год журнала: 2023, Номер 11(6), С. 875 - 875

Опубликована: Март 17, 2023

Due to the development of technological innovation devices, availability increasingly performing networks, improvement digitization processes, and push greater diffusion determined by COVID-19 pandemic, Digital Healthcare (DH), also referred as Health [...].

Язык: Английский

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Feasibility Study on Utilization of the Artificial Intelligence GPT-3 in Public Health

Опубликована: Янв. 28, 2023

Artificial intelligence (AI) has the potential to revolutionize research by automating data analysis, generating new insights, and supporting discovery of knowledge. The top 10 contribution areas AI towards public health were gathered in this feasibility study. We utilized “text-davinci-003” model GPT-3, using OpenAI playground default parameters. was trained with largest training dataset any had, limited a cut-off date 2021. This study aimed test ability GPT-3 advance explore as scientific co-author. asked for input including quotations human authors reviewed responses plausibility. found that able assemble, summarize, generate plausible text blocks relevant concerns, elucidating valuable application itself. However, most invented thus, invalid. Ac-cording today’s rules, we conclude can contribute team member. Nevertheless, good practice needs be also followed contributions, broad discourse on contributions is needed. Policies should updated timely following discourse.

Язык: Английский

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Liability of Health Professionals Using Sensors, Telemedicine and Artificial Intelligence for Remote Healthcare

Sensors, Год журнала: 2024, Номер 24(11), С. 3491 - 3491

Опубликована: Май 28, 2024

In the last few decades, there has been an ongoing transformation of our healthcare system with larger use sensors for remote care and artificial intelligence (AI) tools. particular, improved by new algorithms learning capabilities have proven their value better patient care. Sensors AI systems are no longer only non-autonomous devices such as ones used in radiology or surgical robots; novel tools a certain degree autonomy aiming to largely modulate medical decision. Thus, will be situations which doctor is one making decision final say other cases might apply presented autonomous device. As those two hugely different situations, they should not treated same way, liability rules apply. Despite real interest promise medicine, doctors patients reluctant it. One important reason lack clear definition liability. Nobody wants at fault, even prosecuted, because followed advice from system, notably when it perfectly adapted specific patient. Fears present simple use, during telemedicine visits based on very useful, clinically pertinent sensors; risk missing parameter; and, course, appears “intelligent”, potentially replacing doctors’ judgment. This paper aims provide overview health professional context healthcare, analyzing four regimes: contract-based approach, approach breach duty inform, fault-based related good itself. We also discuss future challenges opportunities promising domain medicine.

Язык: Английский

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