Results 101 to 110 of about 10,164 (240)

Mainstream Artificial Intelligence Technologies in Contemporary Ophthalmology

Advanced Intelligent Systems, Volume 7, Issue 12, December 2025.
This review explores the latest artificial intelligence (AI) technologies in ophthalmology, focusing on four key data types: medical imaging, electronic health records, robotic‐assisted surgery, and genomics. It examines the structural features, use cases, clinical goals, and evaluation metrics of various AI algorithms, while also introducing emerging ...
Shiqi Yin, Lei Wang, Shanjun Wu, Jiewei Jiang, Wei Qiang, Yangyang Wang, Shihong Wang, Yi Shao, Wei Chen, Zhongwen Li   +9 more
wiley   +1 more source

On-Demand Big Data Integration: A Hybrid ETL Approach for Reproducible Scientific Research

, 2017
Scientific research requires access, analysis, and sharing of data that is distributed across various heterogeneous data sources at the scale of the Internet.
Galhardas, Helena, Kathiravelu, Pradeeban, Sharma, Ashish, Van Roy, Peter, Veiga, Luıs   +4 more
core   +1 more source

Medical Data as a Key Asset in the Digital Health Era: A Framework for Challenges and Strategies

iMetaMed, Volume 1, Issue 2, December 2025.
By conducting case studies and comparative analysis from a global perspective, this study develops the practical framework of Medical Data Element Ecosystem (MDEE)—one that facilitates MDEE construction by guiding actions, informing policy‐making, and enabling stakeholder engagement.
Jian Wang, Anqi Lin, Yedong Huang, Gezheng Li, Tianqi Chen, Chudi Sun, Weiye Qian, Shiqi Ren, Hank Z. H. Wong, Yanxi Ding, Lin Zhang   +10 more
wiley   +1 more source

Evaluating the Effectiveness of Large Language Models in Converting Clinical Data to FHIR Format

Applied Sciences
The conversion of unstructured clinical data into structured formats, such as Fast Healthcare Interoperability Resources (FHIR), is a critical challenge in healthcare informatics.
Julien Delaunay, Daniel Girbes, Jordi Cusidó   +2 more
semanticscholar   +1 more source

The integration of generative artificial intelligence and machine learning in healthcare: Current applications and future directions

Journal of Intelligent Medicine, Volume 2, Issue 4, Page 179-192, December 2025.
Abstract Machine learning (ML) and generative artificial intelligence (GAI) in recent years are rapidly revolutionizing the healthcare industry offering improved precision and efficiency of healthcare delivery. The use of these advanced technologies in healthcare such as medical imaging, drug discoveries, predictive analytics, and personalized medicine
Muhammad Umar, Laiba Shamim, Imshaal Musharaf, Pakeezah Tabasum, Vani Malhotra, Kanza Farhan, Ayesha Hidayat, Muhammad Waqas, Amna Anwar, Maria Qadri, Shahana Reza   +10 more
wiley   +1 more source

How the presentation of patient information and decision-support advisories influences opioid prescribing behavior: A simulation study [PDF]

, 2020
ObjectiveThe United States faces an opioid crisis. Integrating prescription drug monitoring programs into electronic health records offers promise to improve opioid prescribing practices.
Hussain, Mustafa I, Nelson, Ariana M, Sukumar, Lauren, Yeung, Brent G, Zheng, Kai   +4 more
core  

RSA‐KG: A Graph‐Based Rag Enhanced AI Knowledge Graph for Recurrent Spontaneous Abortions Diagnosis and Clinical Decision Support

Med Research, Volume 1, Issue 3, Page 412-423, December 2025.
RSA‐KG, a graph‐based AI knowledge graph, integrates multimodal clinical data from international RSA guidelines. It outperforms naive RAG and raw models in diagnostic accuracy, aiding RSA diagnosis and clinical decision‐making. ABSTRACT Recurrent spontaneous abortion (RSA), affecting 1%–5% of reproductive‐aged women, presents diagnostic challenges due ...
Yibo He, Yinying Chai, Yonglin Liu, Jiajia Chi, Yiran Fei, Beihui He, Ting Zhang, Shiliang Chen, Ying Yu, Zhezhong Zhang, Jinwei Li, Yun Sun, Shiyuan Tong, Guoyin Kai   +13 more
wiley   +1 more source

Guia bàsica de recomanacions pel desenvolupament d’apps de salut i atenció social [PDF]

, 2018
Aquesta guia està destinada a totes aquelles persones que desitgin iniciar-se en l’entorn mHealth i vulguin tenir una visió general de quins són els aspectes que cal tenir en compte a l’hora de desenvolupar una aplicació mòbil de l’entorn salut i/o de ...
Alcober Segura, Jesús Ángel, Oller Arcas, Antonio   +1 more
core   +1 more source

Enable FHIR service for GameBus

, 2022
Poster about gamebus-fhir-layer of STRAP project for Health-RI Conference 2022.
Geng, Cunliang, Smits, Djura, Ridder, Lars, Khanshan, Alireza, Van Gorp, Pieter   +4 more
openaire   +1 more source

An ontology to standardize research output of nutritional epidemiology : from paper-based standards to linked content [PDF]

, 2019
Background: The use of linked data in the Semantic Web is a promising approach to add value to nutrition research. An ontology, which defines the logical relationships between well-defined taxonomic terms, enables linking and harmonizing research output.
Ambayo, Henry, Bouwman, Jildau, Bronselaer, Antoon, De Baets, Bernard, Hawwash, Dana, Kolsteren, Patrick, Lachat, Carl, Pattyn, Filip, Thanintorn, Nattapon, Yang, Chen   +9 more
core   +1 more source