AIMC Topic: Biomedical Research

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Application of Generative AI to Enhance Obstetrics and Gynecology Research.

American journal of perinatology
The rapid evolution of large-language models such as ChatGPT, Claude, and Gemini is reshaping the methodological landscape of obstetrics and gynecology (OBGYN) research. This narrative review provides a comprehensive account of generative AI capabili...

Use of Large Language Models in Clinical Cancer Research.

JCO clinical cancer informatics
Artificial intelligence (AI) is increasingly being applied to clinical cancer research, driving precision oncology objectives by gathering clinical data at scales that were not previously possible. Although small, domain-specific models have been use...

Emerging research themes in ferroptosis research for non-small cell lung cancer: a bibliometric and visualized analysis.

Frontiers in immunology
BACKGROUND: Ferroptosis, an iron-dependent form of regulated cell death, has garnered significant attention as a potential therapeutic target in oncology due to its unique mechanism involving lipid peroxidation and reactive oxygen species accumulatio...

Recent advances in omics and the integration of multi-omics in osteoarthritis research.

Arthritis research & therapy
Osteoarthritis (OA) is a complex disorder driven by the combination of environmental and genetic factors. Given its high global prevalence and heterogeneity, developing effective and personalized treatment methods is crucial. This requires identifyin...

Accuracy of Large Language Models When Answering Clinical Research Questions: Systematic Review and Network Meta-Analysis.

Journal of medical Internet research
BACKGROUND: Large language models (LLMs) have flourished and gradually become an important research and application direction in the medical field. However, due to the high degree of specialization, complexity, and specificity of medicine, which resu...

Utilizing Large language models to select literature for meta-analysis shows workload reduction while maintaining a similar recall level as manual curation.

BMC medical research methodology
BACKGROUND: Large language models (LLMs) like ChatGPT showed great potential in aiding medical research. A heavy workload in filtering records is needed during the research process of evidence-based medicine, especially meta-analysis. However, few st...

Global research trends and collaborations in acute kidney injury (AKI) and sepsis: a bibliometric analysis (2004-2024).

Renal failure
BACKGROUND: Acute kidney injury (AKI) and sepsis are critical clinical conditions associated with high morbidity and mortality. Despite growing research interest, there remains a need for a comprehensive analysis of global research trends in this fie...

DeepSeek's Readiness for Medical Research and Practice: Prospects, Bottlenecks, and Global Regulatory Constraints.

Annals of biomedical engineering
DeepSeek, an open-source multimodal Large Language Model (LLM), was launched by the Chinese startup (Hangzhou DeepSeek Artificial Intelligence Basic Technology Research Co., Ltd.). Despite the lack of advanced artificial intelligence (AI) chips, the ...

Advancing osteoarthritis research: the role of AI in clinical, imaging and omics fields.

Bone research
Osteoarthritis (OA) is a degenerative joint disease with significant clinical and societal impact. Traditional diagnostic methods, including subjective clinical assessments and imaging techniques such as X-rays and MRIs, are often limited in their ab...

Past, present, and future of exosomes research in cancer: A bibliometric and visualization analysis.

Human vaccines & immunotherapeutics
Cancer seriously threatens the lives and health of people worldwide, and exosomes seem to play an important role in managing cancer effectively, which has attracted extensive attention from researchers in recent years. This study aimed to scientifica...