Evaluation of ChatGPT’s Potential in Tailoring Gynecological Cancer Therapies DOI Open Access
Annika Krückel,

Lena Brückner,

Iason Psilopatis

et al.

In Vivo, Journal Year: 2024, Volume and Issue: 38(4), P. 1649 - 1659

Published: Jan. 1, 2024

Background/Aim: Demographic change and increasing complexity of therapy decisions lead to a growing burden on the healthcare system, necessitating efforts simplify enhance efficiency patient care. The present study evaluates ChatGPT's ability provide recommendations for gynecological malignancies that are both in line with local guidelines individually tailored patient. Patients Methods: Sixteen patients endometrial, cervical, ovarian cancer who were treated clinic University Hospital Erlangen from January 2022 August 2023 included analysis. Data collected within clinical routine care communicated chat-based AI model ChatGPT (version 3.5). performance generating treatment plans evaluated using an answer scoring system descriptive Results: According [range: −1 point (minimum) 2 points (maximum)], demonstrated good potential average score 0.75 cancer, 0.7 cervical 1.5 endometrial patients. most common deductions about incomplete recommendations, whereas contraindicated modalities rarely suggested. Individual characteristics regularly considered by ChatGPT. reliably indicated aftercare provided detailed information preventive measures as well supportive treatment. Conclusion: is promising tool generation suggestions carcinomas high flexibility response individual differences. At current state, however, not suitable replacing expert panels.

Language: Английский

Leveraging Large Language Models for Decision Support in Personalized Oncology DOI Creative Commons
Manuela Benary,

Xing David Wang,

Max Schmidt

et al.

JAMA Network Open, Journal Year: 2023, Volume and Issue: 6(11), P. e2343689 - e2343689

Published: Nov. 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.

Language: Английский

Citations

121
A Systematic Review and Meta-Analysis of Artificial Intelligence Tools in Medicine and Healthcare: Applications, Considerations, Limitations, Motivation and Challenges DOI Creative Commons
Hussain A. Younis, Taiseer Abdalla Elfadil Eisa, Maged Nasser

et al.

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

96
Evaluation of the reliability and readability of ChatGPT-4 responses regarding hypothyroidism during pregnancy DOI Creative Commons
Çağatay Emir Önder, Gönül Koç, Püren Gökbulut

et al.

Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)

Published: Jan. 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.

Language: Английский

Citations

44
The Potential Applications and Challenges of ChatGPT in the Medical Field DOI Creative Commons
Yonglin Mu, Dawei He

International Journal of General Medicine, Journal Year: 2024, Volume and Issue: Volume 17, P. 817 - 826

Published: March 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.

Language: Английский

Citations

25
Exploring the landscape of AI-assisted decision-making in head and neck cancer treatment: a comparative analysis of NCCN guidelines and ChatGPT responses DOI
Filippo Marchi, Elisa Bellini, Andrea Iandelli

et al.

European Archives of Oto-Rhino-Laryngology, Journal Year: 2024, Volume and Issue: 281(4), P. 2123 - 2136

Published: Feb. 29, 2024

Language: Английский

Citations

19
Artificial intelligence for image recognition in diagnosing oral and oropharyngeal cancer and leukoplakia DOI Creative Commons
Benedikt Schmidl,

Tobias Hütten,

Steffi Pigorsch

et al.

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: Jan. 29, 2025

Visual diagnosis is one of the key features squamous cell carcinoma oral cavity (OSCC) and oropharynx (OPSCC), both subsets head neck (HNSCC) with a heterogeneous clinical appearance. Advancements in artificial intelligence led to Image recognition being introduced recently into large language models (LLMs) such as ChatGPT 4.0. This exploratory study, for first time, evaluated application image by diagnose leukoplakia based on images, images without any lesion control group. A total 45 were analyzed, comprising 15 cases each SCC, leukoplakia, non-lesion images. 4.0 was tasked providing most likely these scenario one. In two history provided, whereas three only given. The results accuracy LLM rated independent reviewers overall performance using modified Artificial Intelligence Performance Index (AIPI. this demonstrated ability correctly identify alone, while SCC insufficient, but improved including prompt. Providing resulted misclassification some cases. Oral lesions more be diagnosed correctly. study lesions, convincing detecting when added, Leukoplakia detected solely recognition. therefore currently insufficient reliable OPSCC OSCC diagnosis, further technological advancements may pave way use setting.

Language: Английский

Citations

2
Use of large language models as clinical decision support tools for management pancreatic adenocarcinoma using National Comprehensive Cancer Network guidelines DOI
Kristen Kaiser, Alexa J. Hughes, Anthony D. Yang

et al.

Surgery, Journal Year: 2025, Volume and Issue: unknown, P. 109267 - 109267

Published: March 1, 2025

Language: Английский

Citations

2
Challenging ChatGPT 3.5 in Senology—An Assessment of Concordance with Breast Cancer Tumor Board Decision Making DOI Open Access
Sebastian Griewing, Niklas Gremke, Uwe Wagner

et al.

Journal of Personalized Medicine, Journal Year: 2023, Volume and Issue: 13(10), P. 1502 - 1502

Published: Oct. 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.

Language: Английский

Citations

35
A descriptive study based on the comparison of ChatGPT and evidence-based neurosurgeons DOI Creative Commons
Jiayu Liu, Jiqi Zheng, Xintian Cai

et al.

iScience, Journal Year: 2023, Volume and Issue: 26(9), P. 107590 - 107590

Published: Aug. 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.

Language: Английский

Citations

34
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 DOI Creative Commons
Benedikt Schmidl,

Tobias Hütten,

Steffi Pigorsch

et al.

European Archives of Oto-Rhino-Laryngology, Journal Year: 2024, Volume and Issue: 281(11), P. 6099 - 6109

Published: Aug. 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.

Language: Английский

Citations

15