AIMC Topic: Body Surface Area

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Application of a natural language processing artificial intelligence tool in psoriasis: A cross-sectional comparative study on identifying affected areas in patients' data.

Clinics in dermatology Jun 21, 2024
Psoriasis is an immune-mediated skin disease affecting approximately 3% of the global population. Proper management of this condition necessitates the assessment of the body surface area and the involvement of nails and joints. The integration of nat...
Body Surface Area Male Middle Aged Psoriasis Natural Language Processing Humans Artificial Intelligence Electronic Health Records Female Aged Adult Cross-Sectional Studies
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Application of multiple deep learning models for automatic burn wound assessment.

Burns : journal of the International Society for Burn Injuries Jul 18, 2022
PURPOSE: Accurate assessment of the percentage of total body surface area (%TBSA) burned is crucial in managing burn injuries. It is difficult to estimate the size of an irregular shape by inspection. Many articles reported the discrepancy of estimat...
Fluid Therapy Burns Humans Body Surface Area Artificial Intelligence Deep Learning
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Measurement of Body Surface Area for Psoriasis Using U-net Models.

Computational and mathematical methods in medicine Feb 10, 2022
During the evaluation of body surface area (BSA), precise measurement of psoriasis is crucial for assessing disease severity and modulating treatment strategies. Physicians usually evaluate patients subjectively through direct visual evaluation. Howe...
Neural Networks, Computer Machine Learning Computer Simulation Young Adult Adult Humans Photography Models, Anatomic Computational Biology Psoriasis Image Interpretation, Computer-Assisted Body Surface Area
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A systematic review of machine learning and automation in burn wound evaluation: A promising but developing frontier.

Burns : journal of the International Society for Burn Injuries Jul 15, 2021
BACKGROUND: Visual evaluation is the most common method of evaluating burn wounds. Its subjective nature can lead to inaccurate diagnoses and inappropriate burn center referrals. Machine learning may provide an objective solution. The objective of th...
Humans Artificial Intelligence Machine Learning Burns Automation Body Surface Area
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Prognostic value of anthropometric measures extracted from whole-body CT using deep learning in patients with non-small-cell lung cancer.

European radiology Feb 13, 2020
INTRODUCTION: The aim of the study was to extract anthropometric measures from CT by deep learning and to evaluate their prognostic value in patients with non-small-cell lung cancer (NSCLC).
Intra-Abdominal Fat Subcutaneous Fat Whole Body Imaging Body Composition Progression-Free Survival Proportional Hazards Models Body Surface Area Male Middle Aged Disease Progression Deep Learning Lung Neoplasms Carcinoma, Non-Small-Cell Lung Muscle, Skeletal Positron Emission Tomography Computed Tomography Neoplasm Staging Female Reproducibility of Results Aged Adult Survival Rate Humans Prognosis
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Relative Factors Analysis of Imatinib Trough Concentration in Chinese Patients with Gastrointestinal Stromal Tumor.

Chemotherapy Mar 5, 2019
AIMS: Imatinib plasma trough levels (IM Cmin) have been reported to have a considerable clinical impact in patients with gastrointestinal stromal tumors (GISTs). We therefore have investigated the factors affecting IM plasma concentration in Chinese ...
Dose-Response Relationship, Drug Adult Humans Asian People Antigens, CD34 Male Sex Factors Female Body Weight Middle Aged Gastrointestinal Stromal Tumors Aged Gastrectomy Antineoplastic Agents Imatinib Mesylate Aged, 80 and over China Body Surface Area
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A novel mathematical model to predict prognosis of burnt patients based on logistic regression and support vector machine.

Burns : journal of the International Society for Burn Injuries Jan 13, 2016
OBJECTIVE: To develop a mathematical model of predicting mortality based on the admission characteristics of 6220 burn cases.
Smoke Inhalation Injury Humans Trauma Severity Indices Child ROC Curve Logistic Models Adult Models, Theoretical Prognosis Middle Aged Support Vector Machine Principal Component Analysis Infant, Newborn Infant Burns Aged Adolescent Shock Young Adult Child, Preschool Multivariate Analysis Body Surface Area
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Machine learning in burn care and research: A systematic review of the literature.

Burns : journal of the International Society for Burn Injuries Jul 29, 2015
BACKGROUND: To date, there are no reviews on machine learning (ML) in burn care. Considering the growth of ML in medicine and the complexities and challenges of burn care, this review specializes on ML applications in burn care. The objective was to ...
Algorithms Anti-Infective Agents Survival Rate Biomedical Research Length of Stay Wound Healing Burns Body Surface Area Aminoglycosides Humans Machine Learning
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Mortality risk prediction in burn injury: Comparison of logistic regression with machine learning approaches.

Burns : journal of the International Society for Burn Injuries Apr 27, 2015
INTRODUCTION: Predicting mortality from burn injury has traditionally employed logistic regression models. Alternative machine learning methods have been introduced in some areas of clinical prediction as the necessary software and computational faci...
Body Surface Area Wales Smoke Inhalation Injury Models, Statistical Decision Support Techniques Bayes Theorem Female Registries Young Adult Burns Adult Male Humans Neural Networks, Computer Risk Assessment Machine Learning Child Software ROC Curve Infant Logistic Models England Support Vector Machine Adolescent Age Factors Child, Preschool
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Artificial intelligence generated 3D body composition predicts dose modifications in patients undergoing neoadjuvant chemotherapy for rectal cancer.

Journal of cancer research and clinical oncology May 16, 2025
PURPOSE: Chemotherapy administration is a balancing act between giving enough to achieve the desired tumour response while limiting adverse effects. Chemotherapy dosing is based on body surface area (BSA). Emerging evidence suggests body composition ...
Humans Artificial Intelligence Retrospective Studies Female Antineoplastic Combined Chemotherapy Protocols Aged Adult Neoadjuvant Therapy Male Body Composition Middle Aged Rectal Neoplasms Imaging, Three-Dimensional Body Surface Area
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