Generative pre-trained transformer-empowered healthcare conversations: Current trends, challenges, and future directions in large language model-enabled medical …

JCL Chow, V Wong, K Li - BioMedInformatics, 2024 - mdpi.com
This review explores the transformative integration of artificial intelligence (AI) and
healthcare through conversational AI leveraging Natural Language Processing (NLP) …

Collaborative Intelligence: A sco** review of current applications

E Schleiger, C Mason, C Naughtin… - Applied Artificial …, 2024 - Taylor & Francis
This review provides a novel examination of the emerging field of collaborative intelligence
and demonstrates the value that human-AI teams can deliver. Humans and artificial …

[PDF][PDF] Measuring the interpretability and explainability of model decisions of five large language models

K Fujiwara, M Sasaki, A Nakamura, N Watanabe - Open Science Framework …, 2024 - osf.io
This study conducts a comprehensive analysis of the interpretability and explainability of five
leading Large Language Models (LLMs): TripoSR by Stability AI, Gemma-7b by Google …

Revolutionizing Healthcare With Cloud Computing: The Impact of Clinical Decision Support Algorithm

J Lenin, A Komathi, H Vijayan… - … for Innovations in …, 2023 - ieeexplore.ieee.org
The integration of cutting-edge technology, such as cloud computing and Clinical Decision
Support (CDS) algorithms, is radically altering the healthcare system. This research digs into …

Applications of large language models in pathology

J Cheng - Bioengineering, 2024 - mdpi.com
Large language models (LLMs) are transformer-based neural networks that can provide
human-like responses to questions and instructions. LLMs can generate educational …

Unveiling the risks of ChatGPT in diagnostic surgical pathology

V Guastafierro, DN Corbitt, A Bressan, B Fernandes… - Virchows Archiv, 2024 - Springer
ChatGPT, an AI capable of processing and generating human-like language, has been
studied in medical education and care, yet its potential in histopathological diagnosis …

Leveraging artificial intelligence to detect ethical concerns in medical research: a case study

K Sridharan, G Sivaramakrishnan - Journal of Medical Ethics, 2025 - jme.bmj.com
Background Institutional review boards (IRBs) have been criticised for delays in approvals
for research proposals due to inadequate or inexperienced IRB staff. Artificial intelligence …

Foundation models and information retrieval in digital pathology

HR Tizhoosh - Artificial Intelligence in Pathology, 2025 - Elsevier
The adoption of digital pathology promises to revolutionize medical diagnostics by enabling
the computerized analysis of tissue images, particularly through the digitization of formalin …

If not a right to children because of gestation, then not a duty towards them either

TF Murphy - Journal of Medical Ethics, 2025 - jme.bmj.com
ABSTRACT Background Institutional review boards (IRBs) have been criticised for delays in
approvals for research proposals due to inadequate or inexperienced IRB staff. Artificial …

[HTML][HTML] Performance Evaluation of Large Language Models in Cervical Cancer Management Based on a Standardized Questionnaire: Comparative Study

W Kuerbanjiang, S Peng, Y Jiamaliding, Y Yi - Journal of Medical Internet …, 2025 - jmir.org
Background Cervical cancer remains the fourth leading cause of death among women
globally, with a particularly severe burden in low-resource settings. A comprehensive …