Building and beta-testing a secure, credible and trustworthy artificially intelligent chatbot that will not misinform, hallucinate or stigmatize substance use disorder: the Be Well Buddy chatbot (Preprint)

JMIR Human Factors, Journal Year: 2025, Volume and Issue: 12, P. e69144 - e69144

Published: March 6, 2025

Abstract Background Artificially intelligent (AI) chatbots that deploy natural language processing and machine learning are becoming more common in health care to facilitate patient education outreach; however, generative such as ChatGPT face challenges, they can misinform hallucinate. Health systems increasingly interested using these tools for education, access care, self-management, but need reassurances AI be secure credible. Objective This study aimed build a system people use send SMS with questions about substance use, which used screen disorder (SUD). The will rely on data transfer via third party vendors thus require reliable trustworthy encryption of protected information . Methods We describe the process specifications building an chatbot users gain SUD from Be Well Texas, clinical provider affiliated University Texas Sciences Center at San Antonio. Results uses classify expert-curated content related SUD. It illustrates how we comply best practices HIPPA (Health Insurance Portability Accountability Act) compliance rest, while still offering state-of-the-art dynamic, user-driven conversation dialogue SUD, treatment services. Conclusions Recent calls attention user-friendly design concerning user rights honor digital regulations offerings suggest this is timely appropriate advancing field AI.

Language: Английский

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Impacts of generative artificial intelligence on the future of labor market: a systematic review

Computers in Human Behavior Reports, Journal Year: 2025, Volume and Issue: unknown, P. 100652 - 100652

Published: March 1, 2025

Language: Английский

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Evaluating the validity and consistency of artificial intelligence chatbots in responding to patients’ frequently asked questions in prosthodontics

Journal of Prosthetic Dentistry, Journal Year: 2025, Volume and Issue: unknown

Published: April 1, 2025

Language: Английский

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

Sensors, Journal Year: 2024, Volume and Issue: 24(11), P. 3491 - 3491

Published: May 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.

Language: Английский

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ChatGPT, a Friend or a Foe in Medical Education: A Review of Strengths, Challenges, and Opportunities

Shiraz E-Medical Journal, Journal Year: 2024, Volume and Issue: 25(6)

Published: June 1, 2024

Background: ChatGPT is a large-scale language model that utilizes artificial intelligence (AI) to answer broad range of scientific inquiries, create clinical scenarios, and evaluate educational programs. While its use offers numerous advantages, it also presents several challenges. Objectives: The aim this study conduct comprehensive review ChatGPT's functionality explore the benefits, challenges, existing solutions, future prospects using AI in medical education. Method: A literature was conducted PubMed, Scopus, Web Science, Google Scholar. search phrases used were ChatGPT, Artificial Intelligence, Chatbot, Medical Education, large models (LLMs). Results: application education such as enhanced quality interaction between students patients, improved quality, research opportunities, personalized learning, virtual patient simulations, cost-effectiveness. However, there are critical ethical transparency concerns, limited access reliable databases, restricted information availability after 2021, development students' thinking ability, risk generating hallucinations. Conclusions: have become popular tool for researchers resources, comprehend articles textbooks, texts. has been extensively medicine short period. It essential weigh benefits expert supervision, frequent assessments, provide feedback reviews guarantee efficacy. Although technology should not replace human labor, prepare changes brought by appropriate guidelines curricula reviewing solutions conducting extensive studies.

Language: Английский

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Pivotal Clinical Study to Evaluate the Efficacy and Safety of Assistive Artificial Intelligence-Based Software for Cervical Cancer Diagnosis

Journal of Clinical Medicine, Journal Year: 2023, Volume and Issue: 12(12), P. 4024 - 4024

Published: June 13, 2023

Colposcopy is the gold standard diagnostic tool for identifying cervical lesions. However, accuracy of colposcopies depends on proficiency colposcopist. Machine learning algorithms using an artificial intelligence (AI) system can quickly process large amounts data and have been successfully applied in several clinical situations. This study evaluated feasibility AI as assistive diagnosing high-grade intraepithelial neoplasia lesions compared to human interpretation images. two-centered, crossover, double-blind, randomized controlled trial included 886 randomly selected Four colposcopists (two proficient two inexperienced) independently images, once with other time without aid Cerviray AI® (AIDOT, Seoul, Republic Korea). The demonstrated improved areas under curve localization receiver-operating characteristic colposcopy impressions (difference 0.12, 95% confidence interval, 0.10-0.14, p < 0.001). Sensitivity specificity also when (89.18% vs. 71.33%; 0.001, 96.68% 92.16%; respectively). Additionally, classification rate (86.40% 75.45%; Overall, could be used both inexperienced cancer screenings estimate impression location pathologic Further utilization this help confirm where perform a biopsy diagnose

Language: Английский

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Forecasting Geopolitical Conflicts Using GPT-3 AI: Reali-Ty-Check One Year into the 2022 Ukraine War

Published: Feb. 3, 2023

Artificial Intelligence (AI) has the power to generate scenarios and make predictions through use of advanced algorithms machine learning techniques. OpenAI&rsquo;s GPT-3 AI is a state-of-the-art language model that been trained on large dataset text, which allows it hu-man-like can for different fields. However, was data available up until June 2021, had no access more recent nor connected internet. In this study, we investigated capability predict Ukrainian war es-calation, started in 2022 massive geopolitical effects. We used GPT-3&acute;s future scenarios, check those internal consistency, create proba-bility estimate. The results showed although described an open as one low probability its predicting limited. Furthermore, became evident checking consistency generated could be improved. ap-preciated very useful powerful generating but also concluded prediction capabilities real-world events are limited, should with caution, require further development.

Language: Английский

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Inteligencia artificial en medicina: panorama actual

REMUS - Revista Estudiantil de Medicina de la Universidad de Sonora, Journal Year: 2023, Volume and Issue: unknown

Published: Dec. 31, 2023

La inteligencia artificial (IA) tiene un potencial enorme para modernizar la práctica y educación de medicina. Esta tecnología, basada en algoritmos con los cuales las máquinas son capaces llevar a procesos razonamiento alta complejidad, hoy día aplicaciones atención médica que, pesar seguir etapas tempranas, muestran mucho optimizar el ejercicio profesional ciencias médicas. Esto implica beneficios métodos prevención diagnóstico enfermedades, así como también tratamientos novedosos mejoras pronósticos pacientes. Se realizó una revisión bibliográfica objetivo plantear panorama general IA medicina su posible rol futuro. En conclusión, es muy probable que este tipo instrumentos formen parte del quehacer cotidiano todo trabajador salud y, por consiguiente, importante conocer sus límites ventajas, buscando integrar mejor manera estas herramientas auxiliares campo médico.

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USE OF ARTIFICIAL INTELLIGENCE IN PUBLIC HEALTH

Journal of Chitwan Medical College, Journal Year: 2024, Volume and Issue: 14(1), P. 1 - 4

Published: March 30, 2024

Artificial Intelligence (AI) denotes a software program, which is capable of simulating either context-sensitive response or conversation with human user in natural language through mobile applications (apps), websites messaging services. 1 HISTORY OF AI IN PUBLIC HEALTHIn 1960, the first signs artificial intelligence research appeared.Originally, goal was to develop machines that could simulate intelligence. 2AI healthcare, initial days, were mostly focused on expert systems, used specialists' knowledge aid making decisions about medical diagnosis and treatment planning.During 1980s 1990s, primary focus healthcare industry systems.Nonetheless, also being done processing machine learning. 3Around time, researchers able begin investigating possibilities variety fields, including drug development, diagnosis, public health surveillance, more, thanks availability sizable collection data advanced computer systems.

Language: Английский

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AI-Based Scenario Generation for Future Planning: An Exploratory Study Using GPT-3

Deleted Journal, Journal Year: 2023, Volume and Issue: 2(2)

Published: April 15, 2023

Artificial Intelligence (AI) is a rapidly developing technology that allows machines to process large amounts of data and make predictions. OpenAI's GPT-3 AI one such example, which has been trained on available up until June 2021, had no access more recent nor was connected the internet. The objective this exploratory study investigate potential in forecasting escalation 2022 Ukrainian war determine whether contribution justifies co-authorship. In stage-gate methodology, GPT-3's capability for generating future scenarios with estimated probabilities used check their consistency define drivers evaluating presence before deciding co-authorship publication. results showed accurately described open as scenarios; however, its predicting limited, internal generated could be improved. Overall, demonstrated proved itself powerful re-writing abstracts, like one. According our approach, did not qualify We recommend further scientific discussion updating best practices journal guidelines clear contributions papers.

Language: Английский

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