AIMC Topic: Biomedical Research
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Research hotspots and trends for Duchenne muscular dystrophy: a machine learning bibliometric analysis from 2004 to 2023.
Frontiers in immunology
Nov 28, 2024
AIMS: The aim of this study was to conduct a bibliometric analysis of the relevant literature on Duchenne muscular dystrophy (DMD) to ascertain its current status, identify key areas of research and demonstrate the evolution of the field.
The urgent need to accelerate synthetic data privacy frameworks for medical research.
The Lancet. Digital health
Nov 26, 2024
Synthetic data, generated through artificial intelligence technologies such as generative adversarial networks and latent diffusion models, maintain aggregate patterns and relationships present in the real data the technologies were trained on withou...
Artificial intelligence and microbiome research: Evolution of hotspots, research trends, and thematic-based narrative review.
Cellular and molecular biology (Noisy-le-Grand, France)
Nov 24, 2024
Artificial intelligence (AI) and microbiome have emerged in recent years as transformative fields with far-reaching implications for various biomedical domains. This paper presents a comprehensive bibliometric analysis examining the intersection of A...
Current status and future direction of cancer research using artificial intelligence for clinical application.
Cancer science
Nov 18, 2024
The expectations for artificial intelligence (AI) technology have increased considerably in recent years, mainly due to the emergence of deep learning. At present, AI technology is being used for various purposes and has brought about change in socie...
Attitudes and perceptions of medical researchers towards the use of artificial intelligence chatbots in the scientific process: an international cross-sectional survey.
The Lancet. Digital health
Nov 15, 2024
Chatbots are artificial intelligence (AI) programs designed to simulate conversations with humans that present opportunities and challenges in scientific research. Despite growing clarity from publishing organisations on the use of AI chatbots, resea...
Generating Biomedical Hypothesis With Spatiotemporal Transformers.
IEEE journal of biomedical and health informatics
Nov 6, 2024
Generating biomedical hypotheses is a difficult task as it requires uncovering the implicit associations between massive scientific terms from a large body of published literature. A recent line of Hypothesis Generation (HG) approaches - temporal gra...
Enabling Demonstrated Consent for Biobanking with Blockchain and Generative AI.
The American journal of bioethics : AJOB
Nov 5, 2024
Participation in research is supposed to be voluntary and informed. Yet it is difficult to ensure people are adequately informed about the potential uses of their biological materials when they donate samples for future research. We propose a novel c...
Research hotspots and frontiers of machine learning in renal medicine: a bibliometric and visual analysis from 2013 to 2024.
International urology and nephrology
Oct 30, 2024
BACKGROUND: The kidney, an essential organ of the human body, can suffer pathological damage that can potentially have serious adverse consequences on the human body and even affect life. Furthermore, the majority of kidney-induced illnesses are freq...
Impact of Artificial Intelligence on Clinical Research.
Gastrointestinal endoscopy clinics of North America
Oct 29, 2024
Artificial intelligence (AI) has potential to significantly impact clinical research when it comes to research preparation and data interpretation. Development of AI tools that can help in performing literature searches, synthesizing and streamlining...
Causality and scientific explanation of artificial intelligence systems in biomedicine.
Pflugers Archiv : European journal of physiology
Oct 29, 2024
With rapid advances of deep neural networks over the past decade, artificial intelligence (AI) systems are now commonplace in many applications in biomedicine. These systems often achieve high predictive accuracy in clinical studies, and increasingly...
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