AIMC Topic: Biomedical Research

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Google's AI co-scientist and OpenAI's deep research: new partners in health research?

European journal of cardiovascular nursing
In February 2025, Google introduced its artificial intelligence (AI)-powered co-scientist, while OpenAI launched its Deep Research system. Both tools are designed to support researchers by processing extensive scientific literature, extracting key in...

[Rethinking scientific integrity in plastic surgery: Reflections on editorial and institutional responsibilities].

Annales de chirurgie plastique et esthetique
Plastic surgery, by nature an innovative discipline, has historically relied on clinical case reports to advance its techniques. Often unique, these cases are a valuable vehicle for disseminating breakthroughs - especially in a field marked by highly...

Artificial intelligence applications and aging (1995-2024): Trends, challenges, and future directions in frailty research.

Archives of gerontology and geriatrics
BACKGROUND: Frailty, a significant predictor of adverse health outcomes, has become a focal point of research, particularly with the advent of artificial intelligence (AI) technologies. This study aimed to provide a comprehensive bibliometric analysi...

[Analysis of the global competitive landscape in artificial intelligence medical device research].

Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi
The objective of this study is to map the global scientific competitive landscape in the field of artificial intelligence (AI) medical devices using scientific data. A bibliometric analysis was conducted using the Web of Science Core Collection to ex...

A bibliometric analysis of wearable device research in sleep science: Trends and hotspots.

Medicine
OBJECTIVE: This study aims to examine academic discourse on wearable devices for sleep, evaluating the domain's current landscape and identifying key research foci.

Comprehensive reporting guidelines and checklist for studies developing and utilizing artificial intelligence models.

Korean journal of anesthesiology
BACKGROUND: The rapid advancement of artificial intelligence (AI) in healthcare necessitates comprehensive and standardized reporting guidelines to ensure transparency, reproducibility, and ethical applications in clinical research. Existing reportin...

Autonomous Self-Evolving Research on Biomedical Data: The DREAM Paradigm.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)
In contemporary biomedical research, the efficiency of data-driven methodologies is constrained by large data volumes, the complexity of tool selection, and limited human resources. To address these challenges, a Data-dRiven self-Evolving Autonomous ...

ChatGPT MAY PROVIDE ACCURATE MEDICAL AND DENTAL RESPONSES, THOUGH VARIABILITIES EXIST.

The journal of evidence-based dental practice
ARTICLE TITLE AND BIBLIOGRAPHIC INFORMATION: Bagde H, Dhopte A, Alam MK, Basri R. A systematic review and meta-analysis on ChatGPT and its utilization in medical and dental research. Heliyon. 2023 Dec 1;9(12).

The Large Language Models on Biomedical Data Analysis: A Survey.

IEEE journal of biomedical and health informatics
With the rapid development of Large Language Model (LLM) technology, it has become an indispensable force in biomedical data analysis research. However, biomedical researchers currently have limited knowledge about LLM. Therefore, there is an urgent ...

Datawiz-IN: fostering representative innovation in health data science-outcomes from a summer research experience.

BMC medical education
The growing adoption of Artificial Intelligence (AI) across sectors highlights the importance of diverse perspectives in guiding its development and implementation. This study examines"Datawiz-IN" an educational initiative that provides data science ...