AIMC Topic: Automation

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Automated workflow for the cell cycle analysis of (non-)adherent cells using a machine learning approach.

eLife Nov 22, 2024
Understanding the cell cycle at the single-cell level is crucial for cellular biology and cancer research. While current methods using fluorescent markers have improved the study of adherent cells, non-adherent cells remain challenging. In this study...
Cell Cycle Cell Adhesion Humans Machine Learning Leukemia, Myeloid, Acute Cell Line, Tumor Image Processing, Computer-Assisted Workflow Automation
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HKA-Net: clinically-adapted deep learning for automated measurement of hip-knee-ankle angle on lower limb radiography for knee osteoarthritis assessment.

Journal of orthopaedic surgery and research Nov 20, 2024
BACKGROUND: Accurate measurement of the hip-knee-ankle (HKA) angle is essential for informed clinical decision-making in the management of knee osteoarthritis (OA). Knee OA is commonly associated with varus deformity, where the alignment of the knee ...
Female Aged Male Middle Aged Deep Learning Radiography Knee Joint Humans Retrospective Studies Osteoarthritis, Knee Automation Hip Joint Ankle Joint
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Decision-making of autonomous vehicles in interactions with jaywalkers: A risk-aware deep reinforcement learning approach.

Accident; analysis and prevention Nov 19, 2024
Jaywalking, as a hazardous crossing behavior, leaves little time for drivers to anticipate and respond promptly, resulting in high crossing risks. The prevalence of Autonomous Vehicle (AV) technologies has offered new solutions for mitigating jaywalk...
Reinforcement, Psychology Decision Making Automobiles Walking Pedestrians Humans Accidents, Traffic Automobile Driving Risk Assessment Automation Deep Learning
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Automatic AI tool for opportunistic screening of vertebral compression fractures on chest frontal radiographs: A multicenter study.

Bone Nov 14, 2024
Vertebral compression fractures (VCFs) are the most common type of osteoporotic fractures, yet they are often clinically silent and undiagnosed. Chest frontal radiographs (CFRs) are frequently used in clinical practice and a portion of VCFs can be de...
Middle Aged Deep Learning Automation Spinal Fractures Fractures, Compression Female Aged Aged, 80 and over Male Humans Artificial Intelligence
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Deep learning automatically distinguishes myocarditis patients from normal subjects based on MRI.

The international journal of cardiovascular imaging Nov 7, 2024
Myocarditis, characterized by inflammation of the myocardial tissue, presents substantial risks to cardiovascular functionality, potentially precipitating critical outcomes including heart failure and arrhythmias. This investigation primarily aims to...
Adult Male Middle Aged Case-Control Studies Female Reproducibility of Results Young Adult Myocardium Myocarditis Image Interpretation, Computer-Assisted Automation Deep Learning Magnetic Resonance Imaging Predictive Value of Tests Humans Retrospective Studies Magnetic Resonance Imaging, Cine
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Automated acute skin toxicity scoring in a mouse model through deep learning.

Radiation and environmental biophysics Nov 6, 2024
This study presents a novel approach to skin toxicity assessment in preclinical radiotherapy trials through an advanced imaging setup and deep learning. Skin reactions, commonly associated with undesirable side effects in radiotherapy, were meticulou...
Animals Deep Learning Mice Disease Models, Animal Female Skin Automation
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Automated real-world data integration improves cancer outcome prediction.

Nature Nov 6, 2024
The digitization of health records and growing availability of tumour DNA sequencing provide an opportunity to study the determinants of cancer outcomes with unprecedented richness. Patient data are often stored in unstructured text and siloed datase...
Neoplasms Datasets as Topic Prognosis Genomics Automation Electronic Health Records Natural Language Processing Immunotherapy Humans Female Registries Machine Learning Male Models, Biological Neoplasm Metastasis
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Data science and automation in the process of theorizing: Machine learning's power of induction in the co-duction cycle.

PloS one Nov 4, 2024
Recent calls to take up data science either revolve around the superior predictive performance associated with machine learning or the potential of data science techniques for exploratory data analysis. Many believe that these strengths come at the c...
Humans Models, Theoretical Machine Learning Automation Data Science
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Automated-Screening Oriented Electric Sensing of Vitamin B1 Using a Machine Learning Aided Solid-State Nanopore.

The journal of physical chemistry. B Oct 31, 2024
Micronutrient detection and identification at the single-molecule level are paramount for both clinical and home diagnostics. Analytical tools such as high-performance liquid chromatography and liquid chromatography-tandem mass spectrometry have been...
Electrochemical Techniques Thiamine Automation Machine Learning Nanopores
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Artificial Intelligence-Based Fully Automated Quantitative Coronary Angiography vs Optical Coherence Tomography-Guided PCI: The FLASH Trial.

JACC. Cardiovascular interventions Oct 30, 2024
BACKGROUND: Recently developed artificial intelligence-based coronary angiography (AI-QCA, fully automated) provides real-time, objective, and reproducible quantitative analysis of coronary angiography without requiring additional time or labor.
Coronary Angiography Percutaneous Coronary Intervention Coronary Artery Disease Stents Treatment Outcome Predictive Value of Tests Tomography, Optical Coherence Humans Image Interpretation, Computer-Assisted Prospective Studies Artificial Intelligence Automation Republic of Korea Aged Coronary Vessels Female Male Middle Aged Time Factors
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