Management and Outcomes of Metastatic and Recurrent Malignant Phyllodes Tumors of the Breast: A Systematic Literature Review DOI Creative Commons

Elaheh Samii,

Yannick Hurni, Daniela Huber

et al.

Meme sağlığı dergisi/Meme sağlığı dergisi, Journal Year: 2023, Volume and Issue: 19(3), P. 191 - 200

Published: July 1, 2023

To summarize the evidence on current management and outcomes for metastatic recurrent malignant phyllodes tumors (MPTs) of breast. A systematic literature review all cases or MPTs breast published between 2010 2021 was performed. In total, 66 patients from 63 articles were included. Fifty-two (78.8%) had distant disease (DMD subgroup), 21 (31.8%) showed locoregional recurrent/progressive (LRPR subgroup). Locoregional recurrences in with no metastases treated surgical excision cases. Radiotherapy administered 8/21 (38.1%) combined chemotherapy 2/21 (9.5%). Metastatic managed through excision, chemotherapy, radiotherapy, a combination these three 84.6% cases, while remaining received oncological treatments. Chemotherapy proposed 75.0% Anthracycline alkylating agent-based regimens most frequently administered. The median survival time 24 (2.0-152.0) months, 72.0 (2.5-98.5) months DMD LRPR subgroups, respectively. Management is challenging. Surgery fundamental approach, but use adjuvant radio- chemo-therapy remains controversial due to lack scientific evidence. Further studies international registers are needed implement new more efficient treatment strategies.

Language: Английский

A survey of safety and trustworthiness of large language models through the lens of verification and validation DOI Creative Commons
Xiaowei Huang, Wenjie Ruan, Wei Huang

et al.

Artificial Intelligence Review, Journal Year: 2024, Volume and Issue: 57(7)

Published: June 17, 2024

Abstract Large language models (LLMs) have exploded a new heatwave of AI for their ability to engage end-users in human-level conversations with detailed and articulate answers across many knowledge domains. In response fast adoption industrial applications, this survey concerns safety trustworthiness. First, we review known vulnerabilities limitations the LLMs, categorising them into inherent issues, attacks, unintended bugs. Then, consider if how Verification Validation (V&V) techniques, which been widely developed traditional software deep learning such as convolutional neural networks independent processes check alignment implementations against specifications, can be integrated further extended throughout lifecycle LLMs provide rigorous analysis trustworthiness applications. Specifically, four complementary techniques: falsification evaluation, verification, runtime monitoring, regulations ethical use. total, 370+ references are considered support quick understanding issues from perspective V&V. While intensive research has conducted identify yet practical methods called ensure requirements.

Language: Английский

Citations

31
The scholarly footprint of ChatGPT: a bibliometric analysis of the early outbreak phase DOI Creative Commons
Faiza Farhat, Emmanuel Sirimal Silva, Hossein Hassani

et al.

Frontiers in Artificial Intelligence, Journal Year: 2024, Volume and Issue: 6

Published: Jan. 5, 2024

This paper presents a comprehensive analysis of the scholarly footprint ChatGPT, an AI language model, using bibliometric and scientometric methods. The study zooms in on early outbreak phase from when ChatGPT was launched November 2022 to June 2023. It aims understand evolution research output, citation patterns, collaborative networks, application domains, future directions related ChatGPT. By retrieving data Scopus database, 533 relevant articles were identified for analysis. findings reveal prominent publication venues, influential authors, countries contributing research. Collaborative networks among researchers institutions are visualized, highlighting patterns co-authorship. domains such as customer support content generation, examined. Moreover, identifies emerging keywords potential areas exploration. methodology employed includes extraction, various indicators, visualization techniques Sankey diagrams. provides valuable insights into ChatGPT's academia offers guidance further advancements. stimulates discussions, collaborations, innovations enhance capabilities impact across domains.

Language: Английский

Citations

27
ChatGPT as a Complementary Mental Health Resource: A Boon or a Bane DOI
Faiza Farhat

Annals of Biomedical Engineering, Journal Year: 2023, Volume and Issue: 52(5), P. 1111 - 1114

Published: July 21, 2023

Language: Английский

Citations

42
ChatGPT: A brief narrative review DOI Creative Commons

Bulbul Gupta,

Tabish Mufti,

Shahab Saquib Sohail

et al.

Cogent Business & Management, Journal Year: 2023, Volume and Issue: 10(3)

Published: Nov. 15, 2023

In this study, we present a brief narrative review focused on ChatGPT, state-of-the-art conversational agent developed using OpenAI's Generative Pretrained Transformer (GPT) framework. Distinctive for its ability to generate text of high quality in real-time, ChatGPT has emerged as leader among artificial intelligence chatbots, garnering interest from both commercial and scholarly circles. Our explores the technological underpinnings examines inherent features that support performance, analyzes existing research applications impacts across several domains. Through assessment, delineate ChatGPT's strengths limitations, offering informed recommendations future investigations burgeoning field.

Language: Английский

Citations

34
Evaluating Large Language Models for the National Premedical Exam in India: Comparative Analysis of GPT-3.5, GPT-4, and Bard DOI Creative Commons
Faiza Farhat, Beenish Moalla Chaudhry, Mohammad Nadeem

et al.

JMIR Medical Education, Journal Year: 2023, Volume and Issue: 10, P. e51523 - e51523

Published: Oct. 30, 2023

Background Large language models (LLMs) have revolutionized natural processing with their ability to generate human-like text through extensive training on large data sets. These models, including Generative Pre-trained Transformers (GPT)-3.5 (OpenAI), GPT-4 and Bard (Google LLC), find applications beyond processing, attracting interest from academia industry. Students are actively leveraging LLMs enhance learning experiences prepare for high-stakes exams, such as the National Eligibility cum Entrance Test (NEET) in India. Objective This comparative analysis aims evaluate performance of GPT-3.5, GPT-4, answering NEET-2023 questions. Methods In this paper, we evaluated 3 mainstream LLMs, namely Google Bard, questions related exam. The NEET were provided these artificial intelligence responses recorded compared against correct answers official answer key. Consensus was used all models. Results It evident that passed entrance test flying colors (300/700, 42.9%), showcasing exceptional performance. On other hand, GPT-3.5 managed meet qualifying criteria, but a substantially lower score (145/700, 20.7%). However, (115/700, 16.4%) failed criteria did not pass test. demonstrated consistent superiority over subjects. Specifically, achieved accuracy rates 73% (29/40) physics, 44% (16/36) chemistry, 51% (50/99) biology. Conversely, attained an rate 45% (18/40) 33% (13/26) 34% (34/99) consensus metric showed matching between well had higher incidences being correct, at 0.56 0.57, respectively, which stood 0.42. When considered together, reached highest 0.59. Conclusions study’s findings provide valuable insights into emerged most accurate model, highlighting its potential educational applications. Cross-checking across may result confusion (as duos or trio) tend agree only little half responses. Using one will consensus. results underscore suitability exams positive impact education. Additionally, study establishes benchmark evaluating enhancing LLMs’ tasks, promoting responsible informed use diverse environments.

Language: Английский

Citations

32
ChatGPT as an innovative heutagogical tool in medical education DOI Creative Commons

Nudrat Saleem,

Tabish Mufti,

Shahab Saquib Sohail

et al.

Cogent Education, Journal Year: 2024, Volume and Issue: 11(1)

Published: March 28, 2024

In this study, we aim to investigate the potential advantages of integrating new generative artificial intelligence (AI) technology, ChatGPT, into higher education, specifically within field medical education. The focus is on exploring ChatGPT's applications in personalized learning, assessment, and content creation while also addressing management its limitations ethical considerations. Furthermore, explore use ChatGPT as a instructor classroom context. We seek elucidate responses preset questions two categories separated based targeted remediation, pedagogical knowledge, teacher ethics, query detail, practicality, communication pattern. These are analyzed rubrics designed basics prerequisites, findings reached with thorough comparative analysis. hope that research will improve effective implementation tool for enhancing learning skill development maintaining awareness professionals.

Language: Английский

Citations

11
Using ChatGPT to navigate ambivalent and contradictory research findings on artificial intelligence DOI Creative Commons
Shahab Saquib Sohail, Dag Øivind Madsen, Yassine Himeur

et al.

Frontiers in Artificial Intelligence, Journal Year: 2023, Volume and Issue: 6

Published: July 27, 2023

With the rapid development and integration of AI in various domains, understanding nuances research has become critical for policymakers, researchers, practitioners. However, results are vast diverse even can be contradictory or ambivalent, presenting a significant challenge individuals seeking to grasp synthesize findings. This perspective paper discusses ambivalent findings literature on artificial intelligence (AI) explores whether ChatGPT used navigate make sense literature.

Language: Английский

Citations

19
ChatGPT as a Complementary Mental Health Resource: A Boon or a Bane DOI Open Access
Faiza Farhat

Published: July 21, 2023

The launch of Open AI's chatbot, ChatGPT, has generated a lot attention and discussion among professionals in several fields. Many concerns challenges have been brought up by researchers from various fields, particularly relation to the harm that using these tools for medical diagnosis treatment recommendations can cause. Additionally, it debated if ChatGPT is dependable, efficient, helpful clinicians professionals. Therefore, this study, we assess ChatGPT's effectiveness providing mental health support, issues related anxiety depression, based on chatbot's responses cross-questioning. findings indicate there are significant inconsistencies reliability low specific domain. As result, care must be used when as complementary resource.

Language: Английский

Citations

17
Using generative artificial intelligence in bibliometric analysis: 10 years of research trends from the European Resuscitation Congresses DOI Creative Commons
Nino Fijačko, Ruth Masterson Creber, Benjamin S. Abella

et al.

Resuscitation Plus, Journal Year: 2024, Volume and Issue: 18, P. 100584 - 100584

Published: Feb. 22, 2024

The aim of this study is to use generative artificial intelligence perform bibliometric analysis on abstracts published at European Resuscitation Council (ERC) annual scientific congress and define trends in ERC guidelines topics over the last decade.

Language: Английский

Citations

7
Academic writing in the age of AI: Comparing the reliability of ChatGPT and Bard with Scopus and Web of Science DOI Creative Commons
Swati Garg, Asad Ahmad, Dag Øivind Madsen

et al.

Journal of Innovation & Knowledge, Journal Year: 2024, Volume and Issue: 9(4), P. 100563 - 100563

Published: Sept. 13, 2024

Language: Английский

Citations

7