Leveraging Large Language Models for Decision Support in Personalized Oncology

JAMA Network Open, Год журнала: 2023, Номер 6(11), С. e2343689 - e2343689

Опубликована: Ноя. 17, 2023

Clinical interpretation of complex biomarkers for precision oncology currently requires manual investigations previous studies and databases. Conversational large language models (LLMs) might be beneficial as automated tools assisting clinical decision-making.

Язык: Английский

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A Systematic Review and Meta-Analysis of Artificial Intelligence Tools in Medicine and Healthcare: Applications, Considerations, Limitations, Motivation and Challenges

Diagnostics, Год журнала: 2024, Номер 14(1), С. 109 - 109

Опубликована: Янв. 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.

Язык: Английский

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Evaluation of the reliability and readability of ChatGPT-4 responses regarding hypothyroidism during pregnancy

Scientific Reports, Год журнала: 2024, Номер 14(1)

Опубликована: Янв. 2, 2024

Abstract Hypothyroidism is characterized by thyroid hormone deficiency and has adverse effects on both pregnancy fetal health. Chat Generative Pre-trained Transformer (ChatGPT) a large language model trained with very database from many sources. Our study was aimed to evaluate the reliability readability of ChatGPT-4 answers about hypothyroidism in pregnancy. A total 19 questions were created line recommendations latest guideline American Thyroid Association (ATA) asked ChatGPT-4. The quality responses scored two independent researchers using global scale (GQS) modified DISCERN tools. ChatGPT assessed used Flesch Reading Ease (FRE) Score, Flesch-Kincaid grade level (FKGL), Gunning Fog Index (GFI), Coleman-Liau (CLI), Simple Measure Gobbledygook (SMOG) No misleading information found any answers. mean mDISCERN score 30.26 ± 3.14; median GQS 4 (2–4). In terms reliability, most showed moderate (78.9%) followed good (21.1%) reliability. analysis, FRE 32.20 (13.00–37.10). years education required read mostly at university [9 (47.3%)]. Although significant potential, it can be as an auxiliary source for counseling creating bridge between patients clinicians Efforts should made improve ChatGPT.

Язык: Английский

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The Potential Applications and Challenges of ChatGPT in the Medical Field

International Journal of General Medicine, Год журнала: 2024, Номер Volume 17, С. 817 - 826

Опубликована: Март 1, 2024

ChatGPT, an AI-driven conversational large language model (LLM), has garnered significant scholarly attention since its inception, owing to manifold applications in the realm of medical science. This study primarily examines merits, limitations, anticipated developments, and practical ChatGPT clinical practice, healthcare, education, research. It underscores necessity for further research development enhance performance deployment. Moreover, future avenues encompass ongoing enhancements standardization mitigating exploring integration applicability translational personalized medicine. Reflecting narrative nature this review, a focused literature search was performed identify relevant publications on ChatGPT's use process aimed at gathering broad spectrum insights provide comprehensive overview current state prospects domain. The objective is aid healthcare professionals understanding groundbreaking advancements associated with latest artificial intelligence tools, while also acknowledging opportunities challenges presented by ChatGPT.

Язык: Английский

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Exploring the landscape of AI-assisted decision-making in head and neck cancer treatment: a comparative analysis of NCCN guidelines and ChatGPT responses

European Archives of Oto-Rhino-Laryngology, Год журнала: 2024, Номер 281(4), С. 2123 - 2136

Опубликована: Фев. 29, 2024

Язык: Английский

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Utility of Artificial Intelligence for Decision Making in Thoracic Multidisciplinary Tumor Boards

Journal of Clinical Medicine, Год журнала: 2025, Номер 14(2), С. 399 - 399

Опубликована: Янв. 10, 2025

Background/Objectives: The aim of this study was to analyze whether the implementation artificial intelligence (AI), specifically Natural Language Processing (NLP) branch developed by OpenAI, could help a thoracic multidisciplinary tumor board (MTB) make decisions if provided with all patient data presented committee and supported accepted clinical practice guidelines. Methods: This is retrospective comparative study. inclusion criteria were defined as patients who at MTB suspicious or first diagnosis non-small-cell lung cancer between January 2023 June 2023. Intervention: GPT 3.5 turbo chat used, providing case summary in proceedings latest SEPAR treatment application asked issue one following recommendations: follow-up, surgery, chemotherapy, radiotherapy, chemoradiotherapy. Statistical analysis: A concordance analysis performed measuring Kappa coefficient evaluate consistency results AI committee's decision. Results: Fifty-two included had an overall 76%, index 0.59 replicability 92.3% for whom it recommended surgery (after repeating cases four times). Conclusions: interesting tool which decision making MTBs.

Язык: Английский

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Challenging ChatGPT 3.5 in Senology—An Assessment of Concordance with Breast Cancer Tumor Board Decision Making

Journal of Personalized Medicine, Год журнала: 2023, Номер 13(10), С. 1502 - 1502

Опубликована: Окт. 16, 2023

With the recent diffusion of access to publicly available large language models (LLMs), common interest in generative artificial-intelligence-based applications for medical purposes has skyrocketed. The increased use these by tech-savvy patients personal health issues calls a scientific evaluation whether LLMs provide satisfactory level accuracy treatment decisions. This observational study compares concordance recommendations from popular LLM ChatGPT 3.5 with those multidisciplinary tumor board breast cancer (MTB). design builds on previous findings combining an extended input model patient profiles reflecting patho- and immunomorphological diversity primary cancer, including metastasis precancerous stages. Overall between MTB is reached half profiles, lesions. In assessment invasive amounts 58.8%. Nevertheless, as makes considerably fraudulent decisions at times, we do not identify current development status be adequate support tool boards. Gynecological oncologists should familiarize themselves capabilities order understand utilize their potential while keeping mind risks limitations.

Язык: Английский

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A descriptive study based on the comparison of ChatGPT and evidence-based neurosurgeons

iScience, Год журнала: 2023, Номер 26(9), С. 107590 - 107590

Опубликована: Авг. 9, 2023

ChatGPT is an artificial intelligence product developed by OpenAI. This study aims to investigate whether can respond in accordance with evidence-based medicine neurosurgery. We generated 50 neurosurgical questions covering diseases. Each question was posed three times GPT-3.5 and GPT-4.0. also recruited neurosurgeons high, middle, low seniority questions. The results were analyzed regarding ChatGPT's overall performance score, mean scores the items' specialty classification, type. In conclusion, GPT-3.5's ability comparable that of seniority, GPT-4.0's high seniority. Although yet be a neurosurgeon future upgrades could enhance its abilities.

Язык: Английский

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Assessing the role of advanced artificial intelligence as a tool in multidisciplinary tumor board decision-making for primary head and neck cancer cases

Frontiers in Oncology, Год журнала: 2024, Номер 14

Опубликована: Май 24, 2024

Background Head and neck squamous cell carcinoma (HNSCC) is a complex malignancy that requires multidisciplinary approach in clinical practice, especially tumor board discussions. In recent years, artificial intelligence has emerged as tool to assist healthcare professionals making informed decisions. This study investigates the application of ChatGPT 3.5 4.0, natural language processing models, decision-making. Methods We conducted pilot October 2023 on 20 consecutive head cancer patients discussed our (MDT). Patients with primary diagnosis were included. The MDT 4.0 recommendations for each patient compared by two independent reviewers number therapy options, recommendation, explanation summarization graded. Results this study, provided mostly general answers surgery, chemotherapy, radiation therapy. For scored well, but demonstrated be an assisting tool, suggesting significantly more options than MDT, while some recommended treatment modalities like immunotherapy are not part current guidelines. Conclusions research demonstrates advanced AI models at moment can merely setting, since versions list common sometimes recommend incorrect case lack information source material.

Язык: Английский

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Assessing the use of the novel tool Claude 3 in comparison to ChatGPT 4.0 as an artificial intelligence tool in the diagnosis and therapy of primary head and neck cancer cases

European Archives of Oto-Rhino-Laryngology, Год журнала: 2024, Номер 281(11), С. 6099 - 6109

Опубликована: Авг. 7, 2024

Head and neck squamous cell carcinoma (HNSCC) is a complex malignancy that requires multidisciplinary tumor board approach for individual treatment planning. In recent years, artificial intelligence tools have emerged to assist healthcare professionals in making informed decisions. This study investigates the application of newly published LLM Claude 3 Opus compared currently most advanced ChatGPT 4.0 diagnosis therapy planning primary HNSCC. The results were conventional board; (2) Materials Methods: We conducted March 2024 on 50 consecutive head cancer cases. diagnostics MDT recommendations each patient rated by two independent reviewers following parameters: clinical recommendation, explanation, summarization addition Artificial Intelligence Performance Instrument (AIPI); (3) Results: this study, achieved better scores diagnostic workup patients than provided involving surgery, chemotherapy, radiation therapy. terms recommendations, explanation scored similar 4.0, listing which congruent with MDT, but failed cite source information; (4) Conclusion: first analysis cases demonstrates superior performance HNSCC recommendations. marks advent launched AI model may be assessment setting.

Язык: Английский

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