AIMC Topic: Biomedical Research
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What predicts citation counts and translational impact in headache research? A machine learning analysis.
Cephalalgia : an international journal of headache
May 1, 2024
BACKGROUND: We aimed to develop the first machine learning models to predict citation counts and the translational impact, defined as inclusion in guidelines or policy documents, of headache research, and assess which factors are most predictive.
[Not Available].
Ugeskrift for laeger
Apr 15, 2024
This review delves into the possible role of artificial intelligence (AI) in medical research, from planning to publication. AI can aid in idea generation, data analysis, and writing, with tools like chatbots and transcription systems enhancing effic...
AI can help to tailor drugs for Africa - but Africans should lead the way.
Nature
Apr 1, 2024
AI in biomedical research: unleashing the potential of a transformative partnership.
JPMA. The Journal of the Pakistan Medical Association
Feb 1, 2024
Extracting Spatio-Temporal Trends in Medical Research Prioritization Through Natural Language Processing of Case Report Abstracts.
Studies in health technology and informatics
Jan 25, 2024
Medical research prioritization is an important aspect of decision-making by researchers and relevant stakeholders. The ever-increasing availability of technology and data has opened doors to new discoveries and new questions. This makes it difficult...
[Robotics should be the mainstream surgical approach in gastrointestinal surgery].
Zhonghua wei chang wai ke za zhi = Chinese journal of gastrointestinal surgery
Jan 25, 2024
The clinical application of robotic gastrointestinal surgery has made significant progress during the past 20 years. Increasing research have demonstrated that the robotic gastrointestinal surgery is safe and feasible, with the advantages in lymph no...
scMMT: a multi-use deep learning approach for cell annotation, protein prediction and embedding in single-cell RNA-seq data.
Briefings in bioinformatics
Jan 22, 2024
Accurate cell type annotation in single-cell RNA-sequencing data is essential for advancing biological and medical research, particularly in understanding disease progression and tumor microenvironments. However, existing methods are constrained by s...
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