Conceptual review of outcome metrics and measures used in clinical evaluation of artificial intelligence in radiology

SH Park, K Han, JG Lee - La radiologia medica, 2024 - Springer
Artificial intelligence (AI) has numerous applications in radiology. Clinical research studies
to evaluate the AI models are also diverse. Consequently, diverse outcome metrics and …

[HTML][HTML] Validation Requirements for AI-based Intervention-Evaluation in Aging and Longevity Research and Practice

G Fuellen, A Kulaga, S Lobentanzer, M Unfried… - Ageing Research …, 2024 - Elsevier
The field of aging and longevity research is overwhelmed by vast amounts of data, calling for
the use of Artificial Intelligence (AI), including Large Language Models (LLMs), for the …

Performance of Multimodal Artificial Intelligence Chatbots Evaluated on Clinical Oncology Cases

D Chen, RS Huang, J Jomy, P Wong, M Yan… - JAMA Network …, 2024 - jamanetwork.com
Importance Multimodal artificial intelligence (AI) chatbots can process complex medical
image and text-based information that may improve their accuracy as a clinical diagnostic …

Can deep learning-designed anterior tooth-borne crown fulfill morphologic, aesthetic, and functional criteria in clinical practice?

G Çakmak, JH Cho, J Choi, HI Yoon, B Yilmaz… - Journal of Dentistry, 2024 - Elsevier
Objectives This study aimed to compare the design outcomes of anterior crowns generated
using deep learning (DL)-based software with those fabricated by a technician using …

[HTML][HTML] Impact of large language models on medical education and teaching adaptations

L Zhui, N Yhap, L Liping, W Zhengjie… - JMIR Medical …, 2024 - medinform.jmir.org
This viewpoint article explores the transformative role of large language models (LLMs) in
the field of medical education, highlighting their potential to enhance teaching quality …

A Glossary of Terms in Artificial Intelligence for Healthcare

SSS Rana, JS Ghahremani, JJ Woo, RA Navarro… - … : The Journal of …, 2024 - Elsevier
In recent decades, artificial intelligence (AI) has infiltrated a variety of domains, including
media, education, and medicine. There exists no glossary, lexicon, or reference for the …

A retrieval-augmented generation strategy to enhance medical chatbot reliability

S Ghanbari Haez, M Segala, P Bellan… - … Conference on Artificial …, 2024 - Springer
Abstract The advent of Large Language Models opened new perspectives concerning their
usage within the digital health domain. However, their intrinsic probabilistic and …

[HTML][HTML] A reliable and accessible caregiving language model (CaLM) to support tools for caregivers: Development and evaluation study

B Parmanto, B Aryoyudanta, TW Soekinto… - JMIR Formative …, 2024 - formative.jmir.org
Background In the United States, 1 in 5 adults currently serves as a family caregiver for an
individual with a serious illness or disability. Unlike professional caregivers, family …

FEDMEKI: A Benchmark for Scaling Medical Foundation Models via Federated Knowledge Injection

J Wang, X Wang, L Lyu, J Chen, F Ma - arXiv preprint arXiv:2408.09227, 2024 - arxiv.org
This study introduces the Federated Medical Knowledge Injection (FEDMEKI) platform, a
new benchmark designed to address the unique challenges of integrating medical …

Artificial Intelligence‐Generated Patient Education Materials for Helicobacter pylori Infection: A Comparative Analysis

S Zeng, Q Kong, X Wu, T Ma, L Wang, L Xu… - …, 2024 - Wiley Online Library
Background Patient education contributes to improve public awareness of Helicobacter
pylori. Large language models (LLMs) offer opportunities to revolutionize patient education …