Emergency Medicine Assistants in the Field of Toxicology, Comparison of ChatGPT-3.5 and GEMINI Artificial Intelligence Systems DOI Creative Commons
Hatice Aslı Bedel, Cihan Bedel, Fatih Selvi

et al.

Acta medica Lituanica, Journal Year: 2024, Volume and Issue: 31(2), P. 294 - 301

Published: Dec. 26, 2024

Artificial intelligence models human thinking and problem-solving abilities, allowing computers to make autonomous decisions. There is a lack of studies demonstrating the clinical utility GPT Gemin in field toxicology, which means their level competence not well understood. This study compares responses given by GPT-3.5 those provided emergency medicine residents. prospective was focused on toxicology utilized widely recognized educational resource 'Tintinalli Emergency Medicine: A Comprehensive Study Guide' for Medicine. set twenty questions, each with five options, devised test knowledge toxicological data as defined book. These questions were then used train ChatGPT (Generative Pre-trained Transformer 3.5) OpenAI Gemini Google AI clinic. The resulting answers meticulously analyzed. 28 physicians, 35.7% whom women, included our study. comparison made between physician scores. While significant difference found (F=2.368 p<0.001), no two groups post-hoc Tukey test. mean score 9.9±0.71, 11.30±1.17 and, physicians' 9.82±3.70 (Figure 1). It clear that respond similarly topics just resident physicians do.

Language: Английский

Revolutionizing personalized medicine with generative AI: a systematic review DOI Creative Commons

Isaias Ghebrehiwet,

Nazar Zaki, Rafat Damseh

et al.

Artificial Intelligence Review, Journal Year: 2024, Volume and Issue: 57(5)

Published: April 25, 2024

Abstract Background Precision medicine, targeting treatments to individual genetic and clinical profiles, faces challenges in data collection, costs, privacy. Generative AI offers a promising solution by creating realistic, privacy-preserving patient data, potentially revolutionizing patient-centric healthcare. Objective This review examines the role of deep generative models (DGMs) informatics, medical imaging, bioinformatics, early diagnostics, showcasing their impact on precision medicine. Methods Adhering PRISMA guidelines, analyzes studies from databases such as Scopus PubMed, focusing AI's medicine DGMs' applications synthetic generation. Results DGMs, particularly Adversarial Networks (GANs), have improved generation, enhancing accuracy However, limitations exist, especially foundation like Large Language Models (LLMs) digital diagnostics. Conclusion Overcoming scarcity ensuring privacy-safe generation are crucial for advancing personalized Further development LLMs is essential improving diagnostic precision. The application emerging, highlighting need more interdisciplinary research advance this field.

Language: Английский

Citations

23
CRISPR/Cas9-Mediated Gene Therapy for Glioblastoma: A Scoping Review DOI Creative Commons
Emir Begagić, Hakija Bečulić, Nermin Đuzić

et al.

Biomedicines, Journal Year: 2024, Volume and Issue: 12(1), P. 238 - 238

Published: Jan. 21, 2024

This scoping review examines the use of CRISPR/Cas9 gene editing in glioblastoma (GBM), a predominant and aggressive brain tumor. Categorizing targets into distinct groups, this explores their roles cell cycle regulation, microenvironmental dynamics, interphase processes, therapy resistance reduction. The complexity CRISPR-Cas9 applications GBM research is highlighted, providing unique insights apoptosis, proliferation, immune responses within tumor microenvironment. studies challenge conventional perspectives on specific genes, emphasizing potential therapeutic implications manipulating key molecular players dynamics. Exploring GBMs yields significant regulation cellular spanning interphase, renewal, migration. Researchers, by precisely targeting uncover orchestration governing growth, differentiation during critical phases cycle. findings underscore technology unraveling complex dynamics microenvironment, offering promising avenues for targeted therapies to curb growth. also outlines addressing GBM, employing target genes associated with chemotherapy resistance, showcasing its transformative effective treatments.

Language: Английский

Citations

15
Autonomous Robotic Surgery: Has the Future Arrived? DOI Open Access

Yeisson Rivero-Moreno,

Miguel Rodriguez,

Paola Losada-Muñoz

et al.

Cureus, Journal Year: 2024, Volume and Issue: unknown

Published: Jan. 14, 2024

Autonomous robotic surgery represents a pioneering field dedicated to the integration of systems with varying degrees autonomy for execution surgical procedures. This paradigm shift is made possible by progressive artificial intelligence (AI) and machine learning (ML) into realm interventions. While majority autonomous remain in experimental phase, notable subset has successfully transitioned clinical applications. Noteworthy procedures, such as venipuncture, hair implantations, intestinal anastomosis, total knee replacement, cochlear implant, radiosurgery, knot tying, among others, exemplify current capabilities systems. review endeavors comprehensively address facets surgery, commencing concise elucidation fundamental concepts traversing pivotal milestones historical evolution surgery. trajectory underscores incremental assimilation practices. aims topics related starting description going through history that also show gradual incorporations It includes discussion key benefits risks this technology, robots, their limitations, legal regulations governing usage, main ethical concerns inherent nature.

Language: Английский

Citations

14
Utilizing natural language processing and large language models in the diagnosis and prediction of infectious diseases: A systematic review DOI
Mahmud Omar, Dana Brin, Benjamin S. Glicksberg

et al.

American Journal of Infection Control, Journal Year: 2024, Volume and Issue: 52(9), P. 992 - 1001

Published: April 6, 2024

Language: Английский

Citations

12
Ethical Concerns of AI in Neurosurgery: A Systematic Review DOI Creative Commons
Muhammad Mohsin Khan,

Gianluca Scalia,

Noman Shah

et al.

Brain and Behavior, Journal Year: 2025, Volume and Issue: 15(2)

Published: Feb. 1, 2025

ABSTRACT Background The relentless integration of Artificial Intelligence (AI) into neurosurgery necessitates a meticulous exploration the associated ethical concerns. This systematic review focuses on synthesizing empirical studies, reviews, and opinion pieces from past decade, offering nuanced understanding evolving intersection between AI neurosurgical ethics. Materials Methods Following PRISMA guidelines, was conducted to identify studies addressing in neurosurgery, emphasizing dimensions. search strategy employed keywords related AI, Inclusion criteria encompassed analyses published last with English language restriction. Quality assessment using Joanna Briggs Institute tools ensured methodological rigor. Results Eight key were identified, each contributing unique insights considerations neurosurgery. Findings highlighted limitations technologies, challenges data bias, transparency, legal responsibilities. emphasized need for responsible systems, regulatory oversight, transparent decision‐making practices. Conclusions synthesis findings underscores complexity Transparent use, mitigation biases emerged as recurring themes. calls establishment comprehensive guidelines ensure safe equitable Ongoing research, educational initiatives, culture innovation are crucial navigating landscape AI‐driven advancements

Language: Английский

Citations

1
Augmented Reality Integration in Skull Base Neurosurgery: A Systematic Review DOI Creative Commons
Emir Begagić, Hakija Bečulić, Ragib Pugonja

et al.

Medicina, Journal Year: 2024, Volume and Issue: 60(2), P. 335 - 335

Published: Feb. 16, 2024

To investigate the role of augmented reality (AR) in skull base (SB) neurosurgery.

Language: Английский

Citations

7
The Promise of ChatGPT in Medical Education: a systematic review (Preprint) DOI Creative Commons
Peiyuan Tang,

Rongchi Xiao,

Yangbin Cao

et al.

Published: Jan. 2, 2025

UNSTRUCTURED Purpose: This systematic review examines the potential of ChatGPT as a tool in medical education, focusing on its role enhancing learning experiences, student performance, and critical thinking skills. ChatGPT's integration aims to address shortage faculty resources create personalized, interactive experiences for students. Methods: Following PRISMA AMSTAR guidelines, we conducted across four databases (Embase, PubMed, Web Science, Cochrane Library) up October 2024. Data from seven studies various disciplines educational levels were included, analyzed descriptively, evaluated quality. Results: Seven demonstrated that ChatGPT-assisted education improves academic clinical skills, SDL capabilities. Notably, students using showed higher scores short-term assessments final exams. 4.0, compared version 3.5, provided enhanced case generation communication skills training. Additionally, ChatGPT-supported boosted students' SDL, thinking, engagement levels, while helping educators manage instructional workload. Conclusion: study highlights ChatGPT’s strong significantly self-directed learning, thinking. It underscores personalized supporting development essential competencies. 4.0 outperforms 3.5 with improved abilities.

Language: Английский

Citations

0
A guide to prompt design: foundations and applications for healthcare simulationists DOI Creative Commons

Sara Maaz,

Janice C. Palaganas,

Gerry Palaganas

et al.

Frontiers in Medicine, Journal Year: 2025, Volume and Issue: 11

Published: Jan. 30, 2025

Large Language Models (LLMs) like ChatGPT, Gemini, and Claude gain traction in healthcare simulation; this paper offers simulationists a practical guide to effective prompt design. Grounded structured literature review iterative testing, proposes best practices for developing calibrated prompts, explores various types techniques with use cases, addresses the challenges, including ethical considerations using LLMs simulation. This helps bridge knowledge gap on LLM simulation-based education, offering tailored guidance Examples were created through testing ensure alignment simulation objectives, covering cases such as clinical scenario development, OSCE station creation, simulated person scripting, debriefing facilitation. These provide easy-to-apply methods enhance realism, engagement, educational simulations. Key challenges associated integration, bias, privacy concerns, hallucinations, lack of transparency, need robust oversight evaluation, are discussed alongside unique education. Recommendations provided help craft prompts that align objectives while mitigating these challenges. By insights, contributes valuable, timely seeking leverage generative AI’s capabilities education responsibly.

Language: Английский

Citations

0
Optimizing Intracerebral Hemorrhage Management and Interhospital Transfer With Viz ICH Plus AI Technology DOI Open Access

Ryan Afreen,

Bahie Ezzat, Roshini Kalagara

et al.

Cureus, Journal Year: 2025, Volume and Issue: unknown

Published: March 18, 2025

This case study explores the integration of Viz ICH Plus, an AI-powered intracerebral hemorrhage (ICH) detection system, into a centralized program called Neuroemergencies Management and Transfer (NEMAT) large urban healthcare system. The highlights how Plus promptly identified right parieto-occipital hematoma in patient presenting with headache, resulting marked reduction interhospital transfer (IHT) time. underwent successful supratentorial craniotomy for evacuation demonstrated significant cognitive physical improvement over following year. reduced IHT time from approximately 200 to 101 minutes, expediting access definitive care improving outcomes. Standard radiology review scan communication results could have added additional delays transferring this receive care. illustrates substantial potential AI transform stroke by optimizing response times facilitating timely interventions.

Language: Английский

Citations

0
ChatGPT-driven interactive virtual reality communication simulation in obstetric nursing: A mixed-methods study DOI
Pao-Ju Chen, Wei-Kai Liou

Nurse Education in Practice, Journal Year: 2025, Volume and Issue: unknown, P. 104383 - 104383

Published: April 1, 2025

Language: Английский

Citations

0