Education and Information Technologies, Journal Year: 2024, Volume and Issue: 29(16), P. 21263 - 21293
Published: April 29, 2024
Language: Английский
Diagnostics, Journal Year: 2024, Volume and Issue: 14(1), P. 109 - 109
Published: Jan. 4, 2024
Artificial intelligence (AI) has emerged as a transformative force in various sectors, including medicine and healthcare. Large language models like ChatGPT showcase AI’s potential by generating human-like text through prompts. ChatGPT’s adaptability holds promise for reshaping medical practices, improving patient care, enhancing interactions among healthcare professionals, patients, data. In pandemic management, rapidly disseminates vital information. It serves virtual assistant surgical consultations, aids dental simplifies education, disease diagnosis. A total of 82 papers were categorised into eight major areas, which are G1: treatment medicine, G2: buildings equipment, G3: parts the human body areas disease, G4: G5: citizens, G6: cellular imaging, radiology, pulse images, G7: doctors nurses, G8: tools, devices administration. Balancing role with judgment remains challenge. systematic literature review using PRISMA approach explored healthcare, highlighting versatile applications, limitations, motivation, challenges. conclusion, diverse applications demonstrate its innovation, serving valuable resource students, academics, researchers Additionally, this study guide, assisting field alike.
Language: Английский
Citations
91
JMIR Mental Health, Journal Year: 2023, Volume and Issue: 10, P. e51232 - e51232
Published: Sept. 20, 2023
ChatGPT, a linguistic artificial intelligence (AI) model engineered by OpenAI, offers prospective contributions to mental health professionals. Although having significant theoretical implications, ChatGPT's practical capabilities, particularly regarding suicide prevention, have not yet been substantiated.The study's aim was evaluate ability assess risk, taking into consideration 2 discernable factors-perceived burdensomeness and thwarted belongingness-over 2-month period. In addition, we evaluated whether ChatGPT-4 more accurately risk than did ChatGPT-3.5.ChatGPT tasked with assessing vignette that depicted hypothetical patient exhibiting differing degrees of perceived belongingness. The assessments generated ChatGPT were subsequently contrasted standard evaluations rendered Using both ChatGPT-3.5 (May 24, 2023), executed 3 evaluative procedures in June July 2023. Our intent scrutinize ChatGPT-4's proficiency various facets relation the abilities professionals an earlier version (March 14 version).During period 2023, found likelihood attempts as similar norms (n=379) under all conditions (average Z score 0.01). Nonetheless, pronounced discrepancy observed performed version), which markedly underestimated potential for attempts, comparison carried out -0.83). empirical evidence suggests evaluation incidence suicidal ideation psychache higher 0.47 1.00, respectively). Conversely, level resilience assessed (both versions) be lower offered -0.89 -0.90, respectively).The findings suggest estimates manner akin provided terms recognizing ideation, appears precise. However, psychache, there overestimation ChatGPT-4, indicating need further research. These results implications support gatekeepers, patients, even professionals' decision-making. Despite clinical potential, intensive follow-up studies are necessary establish use capabilities practice. finding frequently underestimates especially severe cases, is troubling. It indicates may downplay one's actual level.
Language: Английский
Citations
71
Cureus, Journal Year: 2023, Volume and Issue: unknown
Published: June 25, 2023
This editorial discusses the role of artificial intelligence (AI) chatbots in healthcare sector, emphasizing their potential as supplements rather than substitutes for medical professionals. While AI have demonstrated significant managing routine tasks, processing vast amounts data, and aiding patient education, they still lack empathy, intuition, experience intrinsic to human providers. Furthermore, deployment medicine brings forth ethical legal considerations that require robust regulatory measures. As we move towards future, underscores importance a collaborative model, wherein professionals work together optimize outcomes. Despite advancements, likelihood completely replacing remains low, complexity necessitates involvement. The ultimate aim should be use technology like enhance care outcomes, not replace irreplaceable elements healthcare.
Language: Английский
Citations
51
Healthcare, Journal Year: 2023, Volume and Issue: 11(14), P. 2046 - 2046
Published: July 17, 2023
The Chatbot Generative Pre-Trained Transformer (ChatGPT) has garnered great attention from the public, academicians and science communities. It responds with appropriate articulate answers explanations across various disciplines. For use of ChatGPT in education, research healthcare, different perspectives exist some level ambiguity around its acceptability ideal uses. However, literature is acutely lacking establishing a link to assess intellectual levels medical sciences. Therefore, present study aimed investigate knowledge education both basic clinical sciences, multiple-choice question (MCQs) examination-based performance impact on examination system. In this study, initially, subject-wise bank was established pool questions textbooks university pools. team members carefully reviewed MCQ contents ensured that MCQs were relevant subject's contents. Each scenario-based four sub-stems had single correct answer. 100 disciplines, including sciences (50 MCQs) MCQs), randomly selected bank. manually entered one by one, fresh session started for each entry avoid memory retention bias. task given response ChatGPT. first obtained taken as final response. Based pre-determined answer key, scoring made scale 0 1, zero representing incorrect results revealed out disciplines attempted all 37/50 (74%) marks 35/50 (70%) an overall score 72/100 (72%) concluded satisfactory subjects demonstrated degree understanding explanation. This study's findings suggest may be able assist students faculty settings since it potential innovation framework education.
Language: Английский
Citations
43
Family Medicine and Community Health, Journal Year: 2024, Volume and Issue: 12(Suppl 1), P. e002583 - e002583
Published: Jan. 1, 2024
Background Artificial intelligence (AI) has rapidly permeated various sectors, including healthcare, highlighting its potential to facilitate mental health assessments. This study explores the underexplored domain of AI’s role in evaluating prognosis and long-term outcomes depressive disorders, offering insights into how AI large language models (LLMs) compare with human perspectives. Methods Using case vignettes, we conducted a comparative analysis involving different LLMs (ChatGPT-3.5, ChatGPT-4, Claude Bard), professionals (general practitioners, psychiatrists, clinical psychologists nurses), general public that reported previously. We evaluate ability generate prognosis, anticipated without professional intervention, envisioned positive negative consequences for individuals depression. Results In most examined cases, four consistently identified depression as primary diagnosis recommended combined treatment psychotherapy antidepressant medication. ChatGPT-3.5 exhibited significantly pessimistic distinct from other LLMs, public. Bard aligned closely perspectives, all whom no improvement or worsening help. Regarding outcomes, ChatGPT 3.5, projected fewer than ChatGPT-4. Conclusions underscores complement expertise promote collaborative paradigm healthcare. The observation three mirrored anticipations experts scenarios technology’s prospective value forecasts. outlook presented by 3.5 is concerning, it could potentially diminish patients’ drive initiate continue therapy. summary, although show enhancing healthcare services, their utilisation requires thorough verification seamless integration judgement skills.
Language: Английский
Citations
43
Systems, Journal Year: 2024, Volume and Issue: 12(3), P. 103 - 103
Published: March 18, 2024
Technologies, such as Chat Generative Pre-Trained Transformer (ChatGPT), are prime examples of Artificial Intelligence (AI), which is a constantly evolving area. SMEs, particularly startups, can obtain competitive edge, innovate their business models, gain value, and undergo digital transformation by implementing these technologies. Continuous but gradual experimentation with technologies the foundation for adoption. The experience that comes from trying new help entrepreneurs adopt more strategically experiment them. urgent need an in-depth investigation highlighted paucity previous research on ChatGPT uptake in startup context, entrepreneurial perspective. objective this study to empirically validate AI technology adoption model establish direction strength correlations among factors perspectives entrepreneurs. data collected 482 who exhibit great diversity genders, countries startups located, industries serve, age, educational levels, work entrepreneurs, length time have been market. Collected analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM) technique, results statistical examination relationships between model’s factors. indicate social influence, domain experience, familiarity, system quality, training support, interaction convenience, anthropomorphism impact pre-perception perception phase These motivate technology, thereby building perceptions its usefulness, perceived ease use, enjoyment, three turn affect emotions toward and, finally, switching intentions. Control variables like gender, attainment no appreciable effect intentions alternatives technology. Rather, factor running businesses shows itself be crucial one. practical implications other innovation ecosystem actors, including, instance, providers, libraries, policymakers. This enriches acceptance theory extends existing literature introducing stages specific entrepreneurship.
Language: Английский
Citations
25
JMIR Human Factors, Journal Year: 2024, Volume and Issue: 11, P. e48633 - e48633
Published: June 12, 2024
Artificial intelligence (AI) use cases in health care are on the rise, with potential to improve operational efficiency and outcomes. However, translation of AI into practical, everyday has been limited, as its effectiveness relies successful implementation adoption by clinicians, patients, other stakeholders.
Language: Английский
Citations
23
International Journal of Online and Biomedical Engineering (iJOE), Journal Year: 2024, Volume and Issue: 20(05), P. 174 - 187
Published: March 15, 2024
This study investigates the potential of Chat Generative Pre-Trained Transformer (ChatGPT) as a virtual healthcare assistant to enhance quality patient care. Inadequate care within systems is key issue that has resulted in lower satisfaction and medical errors. Virtual assistants, exemplified by ChatGPT, have emerged promising solution mitigate these challenges. A comprehensive literature review compares benefits drawbacks using assistants with those human providers assess their effectiveness enhancing The article discusses ChatGPT development process, including data sources used, training validation, integration this technology into systems. results testing care, feedback, are provided. interprets findings indicates can significantly implications implementing sector also explored, along future research areas for ChatGPT. provides important new insights how might offers recommendations organizations legislators on leveraging It shows astonishing known revolutionize industry.
Language: Английский
Citations
21
Humanities and Social Sciences Communications, Journal Year: 2024, Volume and Issue: 11(1)
Published: Jan. 4, 2024
ChatGPT is a chatbot based on large language model. Its application possibilities are extensive, and it freely accessible to all people, including psychotherapists individuals with mental illnesses. Some blog posts about the possible use of as psychotherapist or supplement psychotherapy already exist. Based three detailed chats, author analyzed chatbot's responses seeking assistance, patients looking for support between sessions, during their psychotherapists' vacations, people suffering from illnesses who not yet in psychotherapy. The results suggest that offers an interesting complement easily accessible, good (and currently free) place go mental-health problems have sought professional help no psychotherapeutic experience. information is, however, one-sided, any future regulation AI must also be made clear proposals only insufficient substitute, but bias favors certain methods while even mentioning other approaches may more helpful some people.
Language: Английский
Citations
20
Internet Reference Services Quarterly, Journal Year: 2024, Volume and Issue: 28(2), P. 223 - 242
Published: Jan. 5, 2024
This article presents an extensive Generative AI Technology Adoption Model intended to elucidate the complex process that entrepreneurs and other innovation ecosystem actors, for instance, libraries, go through its adoption. The model suggests adoption happens in three stages: Pre-Perception & Perception, Assessment, Outcome. During Perception Phase, initiate their technology exploration by navigating social factors, domain experience, technological familiarity, system quality, training support, interaction convenience, anthropomorphism; with utilitarian value hedonic values playing important role. As they transition Assessment Stage, perceived usefulness, ease of use, a novel addition, enjoyment, shape evaluations, leading generations emotions toward it, overweighting values. finishes Outcome where developed Stage become tangible intentions switch (use or human services). highlights factors (also called latent variables) relationships grounded on researcher's professional experiences need be further empirically validated. Entrepreneurial implications highlight strategic insights model, providing decision-making roadmap highlighting between hedonistic Entrepreneurs can create well-informed integrations are line business objectives using incremental process. model's focus comparative evaluations gives ability strategically map usability best possible commercial results. offers nuanced understanding entrepreneurs' processes, which is also applicable actors ecosystem.
Language: Английский
Citations
19