AIMC Topic: Benchmarking

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Assessing Uncertainty in Machine Learning for Polymer Property Prediction: A Benchmark Study.

Journal of chemical information and modeling Jul 14, 2025
Machine learning (ML) has emerged as a transformative tool in material science, enabling accelerated discovery and design of novel molecules while reducing experimental costs. Uncertainty quantification (UQ) is crucial for enhancing the reliability o...
Machine Learning Benchmarking Monte Carlo Method Uncertainty Bayes Theorem Polymers
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Machine learning models for predicting malnutrition in NICU patients: A comprehensive benchmarking study.

Computers in biology and medicine Jun 1, 2025
Malnutrition, affecting both adults and children globally, results from inadequate nutrient intake or loss of body mass. Traditional screening tools, reliant on detailed questionnaires, are costly, time-consuming, and often lack accuracy and generali...
Intensive Care Units, Neonatal Infant, Newborn Machine Learning Benchmarking Humans Neural Networks, Computer Female Malnutrition Male Nutrition Assessment
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Benchmarking HEp-2 cell segmentation methods in indirect immunofluorescence images - standard models to deep learning.

Computers in biology and medicine Jun 1, 2025
Indirect Immunofluorescence (IIF) stained Human Epithelial (HEp-2) cells are considered the gold standard for detecting autoimmune diseases. Accurate cell segmentation, though often viewed as an intermediary step to downstream tasks like classificati...
Deep Learning Image Processing, Computer-Assisted Humans Benchmarking Fluorescent Antibody Technique, Indirect Neural Networks, Computer
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Keeping AI on Track: Regular monitoring of algorithmic updates in mammography.

European journal of radiology Jun 1, 2025
PURPOSE: To demonstrate a method of benchmarking the performance of two consecutive software releases of the same commercial artificial intelligence (AI) product to trained human readers using the Personal Performance in Mammographic Screening scheme...
Benchmarking Sensitivity and Specificity Breast Neoplasms Mammography Female Middle Aged Humans Reproducibility of Results Artificial Intelligence Algorithms Radiographic Image Interpretation, Computer-Assisted Retrospective Studies
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Benchmarking domain-specific pretrained language models to identify the best model for methodological rigor in clinical studies.

Journal of biomedical informatics Jun 1, 2025
OBJECTIVE: Encoder-only transformer-based language models have shown promise in automating critical appraisal of clinical literature. However, a comprehensive evaluation of the models for classifying the methodological rigor of randomized controlled ...
Benchmarking Randomized Controlled Trials as Topic Natural Language Processing Humans
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BenchXAI: Comprehensive benchmarking of post-hoc explainable AI methods on multi-modal biomedical data.

Computers in biology and medicine Jun 1, 2025
The increasing digitalization of multi-modal data in medicine and novel artificial intelligence (AI) algorithms opens up a large number of opportunities for predictive models. In particular, deep learning models show great performance in the medical ...
Artificial Intelligence Algorithms Humans Benchmarking Databases, Factual Deep Learning
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Beyond Benchmarks: Evaluating Generalist Medical Artificial Intelligence With Psychometrics.

Journal of medical Internet research May 26, 2025
Rigorous evaluation of generalist medical artificial intelligence (GMAI) is imperative to ensure their utility and safety before implementation in health care. Current evaluation strategies rely heavily on benchmarks, which can suffer from issues wit...
Humans Artificial Intelligence Psychometrics Benchmarking
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Deep learning in GPCR drug discovery: benchmarking the path to accurate peptide binding.

Briefings in bioinformatics Mar 4, 2025
Deep learning (DL) methods have drastically advanced structure-based drug discovery by directly predicting protein structures from sequences. Recently, these methods have become increasingly accurate in predicting complexes formed by multiple protein...
Peptides Drug Discovery Receptors, G-Protein-Coupled Humans Deep Learning Benchmarking Protein Binding Ligands
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Benchmarking ensemble machine learning algorithms for multi-class, multi-omics data integration in clinical outcome prediction.

Briefings in bioinformatics Mar 4, 2025
The complementary information found in different modalities of patient data can aid in more accurate modelling of a patient's disease state and a better understanding of the underlying biological processes of a disease. However, the analysis of multi...
Breast Neoplasms Algorithms Benchmarking Liver Neoplasms Humans Carcinoma, Hepatocellular Female Machine Learning Genomics Multiomics
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Meta-MolNet: A Cross-Domain Benchmark for Few Examples Drug Discovery.

IEEE transactions on neural networks and learning systems Mar 1, 2025
Predicting the pharmacological activity, toxicity, and pharmacokinetic properties of molecules is a central task in drug discovery. Existing machine learning methods are transferred from one resource rich molecular property to another data scarce pro...
Algorithms Neural Networks, Computer Drug Discovery Machine Learning Benchmarking Humans
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