AIMC Topic: Humans

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A systematic review on the application of machine learning models in psychometric questionnaires for the diagnosis of attention deficit hyperactivity disorder.

The European journal of neuroscience Feb 20, 2024
Attention deficit hyperactivity disorder is one of the most prevalent neurodevelopmental disorders worldwide. Recent studies show that machine learning has great potential for the diagnosis of attention deficit hyperactivity disorder. The aim of the ...
Surveys and Questionnaires Psychometrics Attention Deficit Disorder with Hyperactivity Humans Machine Learning
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Improved QSAR models for PARP-1 inhibition using data balancing, interpretable machine learning, and matched molecular pair analysis.

Molecular diversity Feb 20, 2024
The poly (ADP-ribose) polymerase-1 (PARP-1) enzyme is an important target in the treatment of breast cancer. Currently, treatment options include the drugs Olaparib, Niraparib, Rucaparib, and Talazoparib; however, these drugs can cause severe side ef...
Humans Machine Learning Phthalazines Poly (ADP-Ribose) Polymerase-1 Poly(ADP-ribose) Polymerase Inhibitors Algorithms Models, Molecular Quantitative Structure-Activity Relationship
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Age and sex estimation in cephalometric radiographs based on multitask convolutional neural networks.

Oral surgery, oral medicine, oral pathology and oral radiology Feb 20, 2024
OBJECTIVES: Age and sex characteristics are evident in cephalometric radiographs (CRs), yet their accurate estimation remains challenging due to the complexity of these images. This study aimed to harness deep learning to automate age and sex estimat...
Sensitivity and Specificity Male Deep Learning Adolescent Neural Networks, Computer Child Humans Sex Determination by Skeleton Female Cephalometry Age Determination by Skeleton Adult
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A primer and overview of the role of artificial intelligence in oral and maxillofacial radiology.

Oral surgery, oral medicine, oral pathology and oral radiology Feb 20, 2024
Artificial Intelligence Radiography, Dental Humans
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Biopsy or Follow-up: AI Improves the Clinical Strategy of US BI-RADS 4A Breast Nodules Using a Convolutional Neural Network.

Clinical breast cancer Feb 20, 2024
OBJECTIVES: To develop predictive nomograms based on clinical and ultrasound features and to improve the clinical strategy for US BI-RADS 4A lesions.
Biopsy Ultrasonography, Mammary Breast ROC Curve Nomograms Follow-Up Studies Middle Aged Deep Learning Neural Networks, Computer Retrospective Studies Female Aged Adult Breast Neoplasms Humans
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Robust EMI elimination for RF shielding-free MRI through deep learning direct MR signal prediction.

Magnetic resonance in medicine Feb 20, 2024
PURPOSE: To develop a new electromagnetic interference (EMI) elimination strategy for RF shielding-free MRI via active EMI sensing and deep learning direct MR signal prediction (Deep-DSP).
Radio Waves Humans Algorithms Brain Signal Processing, Computer-Assisted Deep Learning Phantoms, Imaging Image Processing, Computer-Assisted Electromagnetic Fields Magnetic Resonance Imaging
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The importance of data in Pulmonary Arterial Hypertension: from international registries to Machine Learning.

Medicina clinica Feb 20, 2024
Real-world registries have been critical to building the scientific knowledge of rare diseases, including Pulmonary Arterial Hypertension (PAH). In the past 4 decades, a considerable number of registries on this condition have allowed to improve the ...
Registries Hypertension, Pulmonary Pulmonary Arterial Hypertension Humans Machine Learning Prognosis
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Tooth numbering and classification on bitewing radiographs: an artificial intelligence pilot study.

Oral surgery, oral medicine, oral pathology and oral radiology Feb 20, 2024
OBJECTIVE: The aim of this study is to assess the efficacy of employing a deep learning methodology for the automated identification and enumeration of permanent teeth in bitewing radiographs. The experimental procedures and techniques employed in th...
Algorithms Pilot Projects Humans Radiographic Image Interpretation, Computer-Assisted Sensitivity and Specificity Artificial Intelligence Turkey Deep Learning Tooth Radiography, Bitewing
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Fully automated deep learning model for detecting proximity of mandibular third molar root to inferior alveolar canal using panoramic radiographs.

Oral surgery, oral medicine, oral pathology and oral radiology Feb 20, 2024
OBJECTIVE: This study endeavored to develop a novel, fully automated deep-learning model to determine the topographic relationship between mandibular third molar (MM3) roots and the inferior alveolar canal (IAC) using panoramic radiographs (PRs).
Tooth Root Adult Male Middle Aged Humans Retrospective Studies Mandible Female Deep Learning Radiography, Panoramic Mandibular Nerve Molar, Third Cone-Beam Computed Tomography
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Machine learning assisted methods for the identification of low toxicity inhibitors of Enoyl-Acyl Carrier Protein Reductase (InhA).

Computational biology and chemistry Feb 20, 2024
Tuberculosis (TB) is one of the life-threatening infectious diseases with prehistoric origins and occurs in almost all habitable parts of the world. TB mainly affects the lungs, and its etiological agent is Mycobacterium tuberculosis (Mtb). In 2022, ...
Mycobacterium tuberculosis Enzyme Inhibitors Oxidoreductases Molecular Structure Bacterial Proteins Antitubercular Agents Humans Machine Learning Molecular Docking Simulation
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