AIMC Topic: Machine Learning

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Multi-Omics Integration With Machine Learning Identified Early Diabetic Retinopathy, Diabetic Macula Edema and Anti-VEGF Treatment Response.

Translational vision science & technology Dec 2, 2024
PURPOSE: Identify optimal metabolic features and pathways across diabetic retinopathy (DR) stages, develop risk models to differentiate diabetic macular edema (DME), and predict anti-vascular endothelial growth factor (anti-VEGF) therapy response.
Middle Aged Diabetes Mellitus, Type 2 Multiomics Angiogenesis Inhibitors Female Aged Male Chromatography, High Pressure Liquid Lipidomics Aqueous Humor Metabolomics Macular Edema Vascular Endothelial Growth Factor A Humans Prospective Studies Biomarkers Diabetic Retinopathy Machine Learning
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Eye-Rubbing Detection Tool Using Artificial Intelligence on a Smartwatch in the Management of Keratoconus.

Translational vision science & technology Dec 2, 2024
PURPOSE: Eye rubbing is considered to play a significant role in the progression of keratoconus and of corneal ectasia following refractive surgery. To our knowledge, no tool performs an objective quantitative evaluation of eye rubbing using a device...
Humans Keratoconus Massage Artificial Intelligence Machine Learning Algorithms Deep Learning Wearable Electronic Devices Support Vector Machine
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Machine Learning-Based Detection of Bladder Cancer by Urine cfDNA Fragmentation Hotspots that Capture Cancer-Associated Molecular Features.

Clinical chemistry Dec 2, 2024
BACKGROUND: cfDNA fragmentomics-based liquid biopsy is a potential option for noninvasive bladder cancer (BLCA) detection that remains an unmet clinical need.
Cell-Free Nucleic Acids Humans Aged Liquid Biopsy Male Biomarkers, Tumor Machine Learning Middle Aged Female Urinary Bladder Neoplasms
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Machine learning for adverse event prediction in outpatient parenteral antimicrobial therapy: a scoping review.

The Journal of antimicrobial chemotherapy Dec 2, 2024
OBJECTIVE: This study aimed to conduct a scoping review of machine learning (ML) techniques in outpatient parenteral antimicrobial therapy (OPAT) for predicting adverse outcomes and to evaluate their validation, implementation and potential barriers ...
Humans Machine Learning Ambulatory Care Patient Readmission Outpatients Infusions, Parenteral Anti-Bacterial Agents Anti-Infective Agents Drug-Related Side Effects and Adverse Reactions
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ANALYSIS OF CHALLENGES AND POSSIBILITIES OF USING ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS.

Georgian medical news Dec 1, 2024
BACKGROUND: This study aims to analyze the geographical distribution of different AI types and applications, document implementation challenges, and assess outcomes of interest as well as potential opportunities for increasing healthcare efficiency.
Humans Algorithms Artificial Intelligence Precision Medicine Machine Learning Deep Learning
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[Clinical study of cervical lymph node metastasis in oral tongue squamous carcinoma by a machine learning model based on contrast-enhanced CT radiomics].

Shanghai kou qiang yi xue = Shanghai journal of stomatology Dec 1, 2024
PURPOSE: To investigate the value of machine learning model based on enhanced CT imaging features and clinical parameters in predicting cervical lymph node metastasis in patients with tongue squamous cell carcinoma (TSCC).
ROC Curve Lymph Nodes Humans Neck Machine Learning Radiomics Lymphatic Metastasis Tomography, X-Ray Computed Female Aged Male Contrast Media Carcinoma, Squamous Cell Middle Aged Adult Tongue Neoplasms
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[Screening of characteristic genes of salivary gland adenoid cystic carcinoma based on weighted co-expression network and machine learning].

Shanghai kou qiang yi xue = Shanghai journal of stomatology Dec 1, 2024
PURPOSE: To identify potential biomarkers of salivary gland adenoid cystic carcinoma to further understand the potential pathogenesis of adenoid cystic carcinoma.
Humans ROC Curve Machine Learning RNA, Long Noncoding Biomarkers, Tumor Gene Regulatory Networks Salivary Gland Neoplasms Gene Expression Profiling Gene Expression Regulation, Neoplastic Carcinoma, Adenoid Cystic
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Assessing diagnostic performance for common skin diseases using an AI-assisted tele-expertise platform: a proof of concept.

European journal of dermatology : EJD Dec 1, 2024
Advancements in machine learning (ML) are making artificial intelligence more feasible in dermatology, with promising results for diagnosing skin cancers, though few studies cover common or inflammatory dermatoses. To evaluate the diagnostic accuracy...
Humans Artificial Intelligence Machine Learning Female Adult Algorithms Prospective Studies Skin Diseases Sensitivity and Specificity Dermatology Telemedicine Male Proof of Concept Study Middle Aged
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[Rapid non-destructive detection technology for traditional Chinese medicine preparations based on machine learning: a review].

Zhongguo Zhong yao za zhi = Zhongguo zhongyao zazhi = China journal of Chinese materia medica Dec 1, 2024
In recent years, with the increasing societal focus on drug quality and safety, quality issues have become a major challenge faced by the pharmaceutical industry, directly impacting consumer health and market trust. By combining multispectral imaging...
Humans Machine Learning Medicine, Chinese Traditional Drugs, Chinese Herbal Quality Control
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Evaluation of machine learning algorithms and computational structural validation of CYP2D6 in predicting the therapeutic response to tamoxifen in breast cancer.

European review for medical and pharmacological sciences Dec 1, 2024
OBJECTIVE: CYP2D6 plays a critical role in metabolizing tamoxifen into its active metabolite, endoxifen, which is crucial for its therapeutic effect in estrogen receptor-positive breast cancer. Single nucleotide polymorphisms (SNPs) in the CYP2D6 gen...
Tamoxifen Cytochrome P-450 CYP2D6 Middle Aged Humans Polymorphism, Single Nucleotide Machine Learning Algorithms Antineoplastic Agents, Hormonal Female Breast Neoplasms
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