AIMC Topic: Biomedical Research
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Adaptive Medical Machine Learning Models Should Not Be Classified as Perpetual Research, but Do Require New Regulatory Solutions.
The American journal of bioethics : AJOB
Sep 16, 2024
Editorial Commentary: The Scope of Medical Research Concerning ChatGPT Remains Limited by Lack of Originality.
Arthroscopy : the journal of arthroscopic & related surgery : official publication of the Arthroscopy Association of North America and the International Arthroscopy Association
Sep 14, 2024
There is no shortage of literature surrounding ChatGPT and whether this large language model can provide accurate and clinically relevant information in response to simulated patient queries. Unfortunately, there is a shortage of literature addressin...
Regional and National Trends in Tuberculosis Research in South Asian Association for Regional Cooperation Countries: Post-COVID-19 Pandemic Machine Learning Factorial Analysis.
International journal of mycobacteriology
Sep 14, 2024
BACKGROUND: The number of tuberculosis (TB)-related morbidities and mortalities is still high in the South-east Asian region. This study was performed to characterize and visualize the post-coronavirus disease 2019 (COVID-19) TB research in South Asi...
Influence of next-generation artificial intelligence on headache research, diagnosis and treatment: the junior editorial board members' vision - part 1.
The journal of headache and pain
Sep 13, 2024
Artificial intelligence (AI) is revolutionizing the field of biomedical research and treatment, leveraging machine learning (ML) and advanced algorithms to analyze extensive health and medical data more efficiently. In headache disorders, particularl...
Assessing the Emergence and Evolution of Artificial Intelligence and Machine Learning Research in Neuroradiology.
AJNR. American journal of neuroradiology
Sep 9, 2024
BACKGROUND AND PURPOSE: Interest in artificial intelligence (AI) and machine learning (ML) has been growing in neuroradiology, but there is limited knowledge on how this interest has manifested into research and specifically, its qualities and charac...
Editorial Commentary: Experts in Shoulder Surgery Do Not Consistently Detect Artificial Intelligence-Generated Scientific Abstracts.
Arthroscopy : the journal of arthroscopic & related surgery : official publication of the Arthroscopy Association of North America and the International Arthroscopy Association
Sep 5, 2024
There has been exponential growth in the number of artificial intelligence (AI)- and machine learning (ML)-related publications in recent years. For example, in the field of shoulder and elbow surgery, there was a 6-fold increase in the number of pub...
Common Critiques and Recommendations for Studies in Neurology Using Machine Learning Methods.
Neurology
Sep 5, 2024
Machine learning (ML) methods are becoming more prevalent in the neurology literature as alternatives to traditional statistical methods to address challenges in the analysis of modern data sets. Despite the increase in the popularity of ML methods i...
The challenges of using machine learning models in psychiatric research and clinical practice.
European neuropsychopharmacology : the journal of the European College of Neuropsychopharmacology
Sep 3, 2024
To understand the complex nature of heterogeneous psychiatric disorders, scientists and clinicians are required to employ a wide range of clinical, endophenotypic, neuroimaging, genomic, and environmental data to understand the biological mechanisms ...
The state of artificial intelligence in medical research: A survey of corresponding authors from top medical journals.
PloS one
Aug 23, 2024
Natural Language Processing (NLP) is a subset of artificial intelligence that enables machines to understand and respond to human language through Large Language Models (LLMs)‥ These models have diverse applications in fields such as medical research...
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