AIMC Topic: Biomedical Research

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KnowLife: a versatile approach for constructing a large knowledge graph for biomedical sciences.

BMC bioinformatics
BACKGROUND: Biomedical knowledge bases (KB's) have become important assets in life sciences. Prior work on KB construction has three major limitations. First, most biomedical KBs are manually built and curated, and cannot keep up with the rate at whi...

Evaluation of PHI Hunter in Natural Language Processing Research.

Perspectives in health information management
OBJECTIVES: We introduce and evaluate a new, easily accessible tool using a common statistical analysis and business analytics software suite, SAS, which can be programmed to remove specific protected health information (PHI) from a text document. Re...

A multi-technique approach to bridge electronic case report form design and data standard adoption.

Journal of biomedical informatics
BACKGROUND AND OBJECTIVE: The importance of data standards when integrating clinical research data has been recognized. The common data element (CDE) is a consensus-based data element for data harmonization and sharing between clinical researchers, i...

Toward a view-oriented approach for aligning RDF-based biomedical repositories.

Methods of information in medicine
INTRODUCTION: This article is part of the Focus Theme of METHODS of Information in Medicine on "Managing Interoperability and Complexity in Health Systems".

Ultrasound in medicine from 2014 to 2024: A bibliometric review.

Medicine
BACKGROUND: The unique physical properties of ultrasound technology have led to its increasing recognition in recent years, rendering it an indispensable component in the diagnosis and treatment of various medical conditions. The aim of this study is...

A Roadmap for the Future of Systems Biology in Cancer Research.

Cancer research
Cancer systems biology seeks to understand how cancer arises as a system of interconnected molecules, cells, and tissues, with the goal of understanding, predicting, and controlling the disease. In the last decade, the field has rapidly grown as adva...

Characterising research trends in bronchiectasis through AI-powered analytics.

The European respiratory journal
BACKGROUND: Interest in bronchiectasis is increasing and no prior study has used artificial intelligence (AI) to interrogate its rich, multidimensional literature to characterise research trends, themes and knowledge gaps.

Reporting guideline for the use of Generative Artificial intelligence tools in MEdical Research: the GAMER Statement.

BMJ evidence-based medicine
OBJECTIVES: Generative artificial intelligence (GAI) tools can enhance the quality and efficiency of medical research, but their improper use may result in plagiarism, academic fraud and unreliable findings. Transparent reporting of GAI use is essent...

Artificial intelligence in kidney transplantation: a 30-year bibliometric analysis of research trends, innovations, and future directions.

Renal failure
Kidney transplantation is the definitive treatment for end-stage renal disease (ESRD), yet challenges persist in optimizing donor-recipient matching, postoperative care, and immunosuppressive strategies. This study employs bibliometric analysis to ev...