AIMC Topic: Biomedical Research

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Unicorns transforming the practice of urology: value creation and allocation in the digital age.

World journal of urology
PURPOSE: To analyze what kind of products and services unicorns, which create a substantial financial value, provide in urology and what this means for the future of urological practice. So far, the added value of unicorns has hardly been utilised fo...

Patient-centered research in radiology: A Canadian perspective.

Clinical imaging
This article examines the importance of patient-centered research in radiology with an emphasis on incorporating the patient perspective to improve patient-reported outcomes (PROs) and research relevance. The methods for effective patient engagement ...

Exploring the Dilemma of AI Use in Medical Research and Knowledge Synthesis: A Perspective on Deep Research Tools.

Journal of medical Internet research
Advances in artificial intelligence (AI) promise to reshape the landscape of scientific inquiry. Amidst all these, OpenAI's latest tool, Deep Research, stands out for its potential to revolutionize how researchers engage with the literature. However,...

Cancer Research in the 21st Century: Recent Advances and Future Perspectives.

Zhongguo ying yong sheng li xue za zhi = Zhongguo yingyong shenglixue zazhi = Chinese journal of applied physiology
INTRODUCTION: Cancer remains a major global health concern, accounting for nearly 10 million deaths annually. Despite its complexity and heterogeneity, significant advancements in cancer research over the past two decades have transformed the landsca...

Artificial intelligence in nutrition and ageing research - A primer on the benefits.

Maturitas
Artificial intelligence (AI) is increasingly impacting multiple domains. The application of AI in nutrition and ageing research has significant potential to transform healthcare outcomes for the ageing population. This review provides critical insigh...

Optimizing super-feature selection for machine learning-enhanced spectroscopic analysis in biomedical research.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy
PURPOSE: Machine-learning-powered label-free infrared spectroscopic methods offer significant potential for diagnostic and biomedical applications. However, their applications have been limited by spectral noise, where critical features are often obs...

Areas of research focus and trends in the research on the application of AIGC in healthcare.

Journal of health, population, and nutrition
BACKGROUND: As a crucial part of current AI technology, the extent of AIGC's (Artificial Intelligence Generated Content) impact on healthcare, its potential to further drive the development of intelligent healthcare, and its ability to alleviate the ...

Role of large language models in mental health research: an international survey of researchers' practices and perspectives.

BMJ mental health
BACKGROUND: Large language models (LLMs) offer significant potential to streamline research workflows and enhance productivity. However, limited data exist on the extent of their adoption within the mental health research community.

Advancements and future trends in machine learning for lung cancer: a comprehensive bibliometric analysis.

Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico
BACKGROUND: In recent years, significant progress has been made in lung cancer screening, diagnosis, and treatment with the continuous development of machine learning (ML).

Global research trends in AI-assisted blood glucose management: a bibliometric study.

Frontiers in endocrinology
BACKGROUND: AI-assisted blood glucose management has become a promising method to enhance diabetes care, leveraging technologies like continuous glucose monitoring (CGM) and predictive models. A comprehensive bibliometric analysis is needed to unders...