AIMC Topic: Clinical Trials as Topic
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Artificial Intelligence and cancer: Profile of registered clinical trials.
Journal of cancer policy
Sep 4, 2024
Artificial Intelligence (AI) has made significant strides due to advancements in processing algorithms and data availability. Recent years have shown a resurgence in AI, driven by breakthroughs in deep machine learning. AI has attracted particular in...
Enhancing Patient Selection in Sepsis Clinical Trials Design Through an AI Enrichment Strategy: Algorithm Development and Validation.
Journal of medical Internet research
Sep 4, 2024
BACKGROUND: Sepsis is a heterogeneous syndrome, and enrollment of more homogeneous patients is essential to improve the efficiency of clinical trials. Artificial intelligence (AI) has facilitated the identification of homogeneous subgroups, but how t...
Ethical Considerations in the Design and Conduct of Clinical Trials of Artificial Intelligence.
JAMA network open
Sep 3, 2024
IMPORTANCE: Safe integration of artificial intelligence (AI) into clinical settings often requires randomized clinical trials (RCT) to compare AI efficacy with conventional care. Diabetic retinopathy (DR) screening is at the forefront of clinical AI ...
Generative AI intervention clinical trials: a call for pre-registration - correspondence.
International journal of surgery (London, England)
Sep 1, 2024
Machine learning prediction and explanatory models of serious infections in patients with rheumatoid arthritis treated with tofacitinib.
Arthritis research & therapy
Aug 27, 2024
BACKGROUND: Patients with rheumatoid arthritis (RA) have an increased risk of developing serious infections (SIs) vs. individuals without RA; efforts to predict SIs in this patient group are ongoing. We assessed the ability of different machine learn...
Zero- and few-shot prompting of generative large language models provides weak assessment of risk of bias in clinical trials.
Research synthesis methods
Aug 23, 2024
Existing systems for automating the assessment of risk-of-bias (RoB) in medical studies are supervised approaches that require substantial training data to work well. However, recent revisions to RoB guidelines have resulted in a scarcity of availabl...
Accelerating drug discovery, development, and clinical trials by artificial intelligence.
Med (New York, N.Y.)
Aug 21, 2024
Artificial intelligence (AI) has profoundly advanced the field of biomedical research, which also demonstrates transformative capacity for innovation in drug development. This paper aims to deliver a comprehensive analysis of the progress in AI-assis...
Machine learning and natural language processing in clinical trial eligibility criteria parsing: a scoping review.
Drug discovery today
Aug 19, 2024
Automatic eligibility criteria parsing in clinical trials is crucial for cohort recruitment leading to data validity and trial completion. Recent years have witnessed an explosion of powerful machine learning (ML) and natural language processing (NLP...
Mapping vaccine names in clinical trials to vaccine ontology using cascaded fine-tuned domain-specific language models.
Journal of biomedical semantics
Aug 10, 2024
BACKGROUND: Vaccines have revolutionized public health by providing protection against infectious diseases. They stimulate the immune system and generate memory cells to defend against targeted diseases. Clinical trials evaluate vaccine performance, ...
Prognostic enrichment for early-stage Huntington's disease: An explainable machine learning approach for clinical trial.
NeuroImage. Clinical
Aug 10, 2024
BACKGROUND: In Huntington's disease clinical trials, recruitment and stratification approaches primarily rely on genetic load, cognitive and motor assessment scores. They focus less on in vivo brain imaging markers, which reflect neuropathology well ...
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