AIMC Topic: Benchmarking

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Robustness and reproducibility for AI learning in biomedical sciences: RENOIR.

Scientific reports Jan 22, 2024
Artificial intelligence (AI) techniques are increasingly applied across various domains, favoured by the growing acquisition and public availability of large, complex datasets. Despite this trend, AI publications often suffer from lack of reproducibi...
Benchmarking Artificial Intelligence Machine Learning Algorithms Reproducibility of Results
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Evaluating capabilities of large language models: Performance of GPT-4 on surgical knowledge assessments.

Surgery Jan 20, 2024
BACKGROUND: Artificial intelligence has the potential to dramatically alter health care by enhancing how we diagnose and treat disease. One promising artificial intelligence model is ChatGPT, a general-purpose large language model trained by OpenAI. ...
Artificial Intelligence Language Humans Benchmarking Educational Status Surgeons
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Explainable deep learning diagnostic system for prediction of lung disease from medical images.

Computers in biology and medicine Jan 19, 2024
Around the globe, respiratory lung diseases pose a severe threat to human survival. Based on a central goal to reduce contiguous transmission from infected to healthy persons, several technologies have evolved for diagnosing lung pathologies. One of ...
Benchmarking COVID-19 Testing Deep Learning Humans Artificial Intelligence COVID-19 Algorithms
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Automated Prediction of Photographic Wound Assessment Tool in Chronic Wound Images.

Journal of medical systems Jan 16, 2024
Many automated approaches have been proposed in literature to quantify clinically relevant wound features based on image processing analysis, aiming at removing human subjectivity and accelerate clinical practice. In this work we present a fully auto...
Humans Artificial Intelligence Neural Networks, Computer Benchmarking Image Processing, Computer-Assisted Photography
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A QUEST for Model Assessment: Identifying Difficult Subgroups via Epistemic Uncertainty Quantification.

AMIA ... Annual Symposium proceedings. AMIA Symposium Jan 11, 2024
Uncertainty quantification in machine learning can provide powerful insight into a model's capabilities and enhance human trust in opaque models. Well-calibrated uncertainty quantification reveals a connection between high uncertainty and an increase...
Neural Networks, Computer Machine Learning Uncertainty Benchmarking Humans Probability
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DiCleave: a deep learning model for predicting human Dicer cleavage sites.

BMC bioinformatics Jan 9, 2024
BACKGROUND: MicroRNAs (miRNAs) are a class of non-coding RNAs that play a pivotal role as gene expression regulators. These miRNAs are typically approximately 20 to 25 nucleotides long. The maturation of miRNAs requires Dicer cleavage at specific sit...
Benchmarking Nucleotides Humans Deep Learning Machine Learning MicroRNAs
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DMGL-MDA: A dual-modal graph learning method for microbe-drug association prediction.

Methods (San Diego, Calif.) Jan 4, 2024
The interaction between human microbes and drugs can significantly impact human physiological functions. It is crucial to identify potential microbe-drug associations (MDAs) before drug administration. However, conventional biological experiments to ...
Research Design Humans Benchmarking Neural Networks, Computer
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Modified Meta Heuristic BAT with ML Classifiers for Detection of Autism Spectrum Disorder.

Biomolecules Dec 29, 2023
ASD (autism spectrum disorder) is a complex developmental and neurological disorder that impacts the social life of the affected person by disturbing their capability for interaction and communication. As it is a behavioural disorder, early treatment...
Algorithms Heuristics Adult Autism Spectrum Disorder Humans Quality of Life Adolescent Benchmarking
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A deep learning framework for predicting molecular property based on multi-type features fusion.

Computers in biology and medicine Dec 28, 2023
Extracting expressive molecular features is essential for molecular property prediction. Sequence-based representation is a common representation of molecules, which ignores the structure information of molecules. While molecular graph representation...
Antiviral Agents Drug Repositioning Benchmarking SARS-CoV-2 Deep Learning COVID-19 Humans
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Generative adversarial network: a statistical-based deep learning paradigm to improve detecting breast cancer in thermograms.

Medical & biological engineering & computing Dec 27, 2023
Thermography, as a harmless modality, thanks to its low equipment complexity in parallel with quick and cheap access, has been able to come up as a method with significant potential in the diagnosis of some cancers in recent years. However, the compl...
Neoplasms Benchmarking Deep Learning Thermography Image Processing, Computer-Assisted
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