Robert Brian Haynes

Understanding Transformer-Based Classifications of Medical Text Using a Large Language Model for the Attribution of Feature Importance: Proof-of-Concept Algorithm Development and Validation Study

Fangwen Zhou, Ashirbani Saha, Muhammad Afzal, Rick Parrish et autres

Background: Deep learning, particularly encoder-only transformer architectures, has demonstrated excellent performance in biomedical literature classification, facilitating evidence-based medicine, and knowledge synthesis. However, the opacity of these models' decision-making processes limits their clinical interpretability, trustworthiness, and widespread adoption. Traditional explainable artificial intelligence methods, …

ca, gb (code pays fourni par la source)

Attitudes and perceptions of biomedical journal editors in chief towards the use of artificial intelligence chatbots in the scholarly publishing process: a cross-sectional survey

Jeremy Y. Ng, M. Krishnamurthy, Gursimran Deol, Wid Al-Zahraa Al-Khafaji et autres

BACKGROUND: Artificial intelligence chatbots (AICs) are designed to mimic human conversations through text or speech, offering both opportunities and challenges in scholarly publishing. While journal policies of AICs are becoming more defined, there is still a limited understanding of how Editors in …

au, ca, de, nl, gb, fr, hr (code pays fourni par la source)

O-007 Long term outcomes in middle meningeal artery embolization for chronic subdural hematoma

Sai P. Polineni, Jacopo Scaggiante, Robert Brian Haynes, Hazem Shoirah

Introduction Multiple recent randomized controlled trials have supported the use of middle meningeal artery embolization (MMAe) in the management of chronic subdural hematoma (cSDH). With rates of cSDH predicted to surpass the number of large vessel occlusion strokes in the near future, …

us (code pays fourni par la source)

E-247 Occult dural arteriovenous fistulas during middle meningeal artery embolization for the treatment of chronic subdural hematoma

Sai P. Polineni, Jacopo Scaggiante, Robert Brian Haynes, Hazem Shoirah

us (code pays fourni par la source)

Attitudes and Perceptions of University Students and Postdoctoral Fellows in the Medical and Life Sciences Towards the Use of Artificial Intelligence Chatbots in the Educational Process: A Large-Scale, International Cross-Sectional Survey

Jeremy Y. Ng, Aimun Qadeer Shah, Emi Roni, Madiha Asna et autres

Abstract Background Artificial intelligence chatbots (AICs) are advanced systems capable of generating and processing human-like text, and are being increasingly integrated in various fields, including education. Despite their potential to significantly impact learning, little is known about university students’ and postdoctoral fellows’ …

ca, de (code pays fourni par la source)

Attitudes and Perceptions of Biomedical Journal Editors-in-Chief Towards the Use of Artificial Intelligence Chatbots in the Scholarly Publishing Process: A Cross-Sectional Survey

Jeremy Y. Ng, M. Krishnamurthy, Gursimran Deol, Wid Al-Zahraa Al-Khafaji et autres

ABSTRACT Background Artificial intelligence chatbots (AICs) are designed to mimic human conversations through text or speech, offering both opportunities and challenges in scholarly publishing. While journal policies of AICs are becoming more defined, there is still a limited understanding of how Editors-in-Chief …

ca, nl, us, hr (code pays fourni par la source)

Fine-Tuning and Benchmarking Transformer Models for Multiclass Classification of Clinical Research Papers: Retrospective Modeling Study (Preprint)

Fangwen Zhou, Cynthia Lokker, Rick Parrish, Robert Brian Haynes et autres

BACKGROUND The exponential growth of digital information has led to an unprecedented expansion in the volume of unstructured text data. Efficient classification of these data is critical for timely evidence synthesis and informed decision-making in health care. Machine learning techniques have shown …

What Do Editors-in-Chief of Medical Journals Think About the Use of Artificial Intelligence Chatbots in the Scholarly Publishing Process? Results From An International Cross-Sectional Survey Across Multiple Publishers

Jeremy Y. Ng, M. Krishnamurthy, Gursimran Deol, Wid Al-Zahraa Al-Khafaji et autres

Objective: This study aimed to examine the attitudes and perceptions of Editors-in-Chief (EiCs) of biomedical journals regarding the integration of artificial intelligence chatbots (AICs) into the scholarly publishing process. While AICs offer opportunities to streamline editorial tasks such as plagiarism detection, language …

ca, nl, fr, hr (code pays fourni par la source)

Benchmarking domain-specific pretrained language models to identify the best model for methodological rigor in clinical studies

Fangwen Zhou, Rick Parrish, Muhammad Afzal, Ashirbani Saha et autres

OBJECTIVE: Encoder-only transformer-based language models have shown promise in automating critical appraisal of clinical literature. However, a comprehensive evaluation of the models for classifying the methodological rigor of randomized controlled trials is necessary to identify the more robust ones. This study benchmarks …

ca, gb (code pays fourni par la source)

Policies on artificial intelligence chatbots among academic publishers: a cross-sectional audit

Daivat Bhavsar, Laura Duffy, Hamin Jo, Cynthia Lokker et autres

BACKGROUND: Artificial intelligence (AI) chatbots are novel computer programs that can generate text or content in a natural language format. Academic publishers are adapting to the transformative role of AI chatbots in producing or facilitating scientific research. This study aimed to examine …

ca, hr (code pays fourni par la source)

Publisher preferences for a journal transparency tool: A modified three-round Delphi study

Jeremy Y. Ng, Henry Liu, Mehvish Masood, Rubaina Farin et autres

Background: We propose the creation of a journal transparency tool (JTT), which will allow users to obtain information about a given scholarly journal's operations and policies. We are obtaining preferences from different stakeholders to inform the development of this tool. This study …

ca, nl, us, es, gb, Maurice, hr, cn, br, my, bg, it (code pays fourni par la source)

Attitudes and perceptions of medical researchers towards the use of artificial intelligence chatbots in the scientific process: an international cross-sectional survey

Jeremy Y. Ng, Sharleen G. Maduranayagam, Nirekah Suthakar, Amy Li et autres

Chatbots are artificial intelligence (AI) programs designed to simulate conversations with humans that present opportunities and challenges in scientific research. Despite growing clarity from publishing organisations on the use of AI chatbots, researchers' perceptions remain less understood. In this international cross-sectional survey, …

ca (code pays fourni par la source)