AI Medical Compendium Journal:
BMC medical informatics and decision making

Showing 71 to 80 of 718 articles

Transforming liver transplant allocation with artificial intelligence and machine learning: a systematic review.

BMC medical informatics and decision making Feb 24, 2025
BACKGROUND: The principles of urgency, utility, and benefit are fundamental concepts guiding the ethical and practical decision-making process for organ allocation; however, LT allocation still follows an urgency model.
Machine Learning Liver Transplantation Tissue and Organ Procurement Humans Artificial Intelligence
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Machine learning-based prediction of post-induction hypotension: identifying risk factors and enhancing anesthesia management.

BMC medical informatics and decision making Feb 22, 2025
BACKGROUND: Post-induction hypotension (PIH) increases surgical complications including myocardial injury, acute kidney injury, delirium, stroke, prolonged hospitalization, and endangerment of the patient's life. Machine learning is an effective tool...
Hypotension Anesthesia Male Middle Aged Humans Machine Learning Female Risk Factors Aged Adult
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Intracranial stenosis prediction using a small set of risk factors in the Tromsø Study.

BMC medical informatics and decision making Feb 20, 2025
Intracranial atherosclerotic stenosis (ICAS) refers to a narrowing of intracranial arteries due to plaque buildup on the inside of the vessel walls restricting blood flow. Early detection of ICAS is crucial to prevent serious consequences such as str...
Norway Intracranial Arteriosclerosis Constriction, Pathologic Humans Magnetic Resonance Angiography Aged Male Middle Aged Machine Learning Female Risk Factors
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Deep learning-based automated guide for defining a standard imaging plane for developmental dysplasia of the hip screening using ultrasonography: a retrospective imaging analysis.

BMC medical informatics and decision making Feb 18, 2025
BACKGROUND: We aimed to propose a deep-learning neural network model for automatically detecting five landmarks during a two-dimensional (2D) ultrasonography (US) scan to develop a standard plane for developmental dysplasia of the hip (DDH) screening...
Neural Networks, Computer Retrospective Studies Female Male Infant Deep Learning Humans Ultrasonography Anatomic Landmarks Developmental Dysplasia of the Hip
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Diabetic peripheral neuropathy detection of type 2 diabetes using machine learning from TCM features: a cross-sectional study.

BMC medical informatics and decision making Feb 18, 2025
AIMS: Diabetic peripheral neuropathy (DPN) is the most common complication of diabetes mellitus. Early identification of individuals at high risk of DPN is essential for successful early intervention. Traditional Chinese medicine (TCM) tongue diagnos...
Diabetic Neuropathies Medicine, Chinese Traditional Tongue Aged Adult Humans Cross-Sectional Studies Machine Learning Female Male Middle Aged Diabetes Mellitus, Type 2
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Prediction of depressive disorder using machine learning approaches: findings from the NHANES.

BMC medical informatics and decision making Feb 17, 2025
BACKGROUND: Depressive disorder, particularly major depressive disorder (MDD), significantly impact individuals and society. Traditional analysis methods often suffer from subjectivity and may not capture complex, non-linear relationships between ris...
Nutrition Surveys United States Middle Aged Depressive Disorder, Major Female Risk Factors Aged Young Adult Adult Male Humans Machine Learning
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A series of natural language processing for predicting tumor response evaluation and survival curve from electronic health records.

BMC medical informatics and decision making Feb 17, 2025
BACKGROUND: The clinical information housed within unstructured electronic health records (EHRs) has the potential to promote cancer research. The National Cancer Center Hospital (NCCH) is widely recognized as a leading institution for the treatment ...
Humans Natural Language Processing Japan Survival Analysis Electronic Health Records Antineoplastic Agents Lung Neoplasms
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De-identification of clinical notes with pseudo-labeling using regular expression rules and pre-trained BERT.

BMC medical informatics and decision making Feb 17, 2025
BACKGROUND: De-identification of clinical notes is essential to utilize the rich information in unstructured text data in medical research. However, only limited work has been done in removing personal information from clinical notes in Korea.
Data Anonymization Republic of Korea Natural Language Processing Confidentiality Humans Electronic Health Records
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An effective multi-step feature selection framework for clinical outcome prediction using electronic medical records.

BMC medical informatics and decision making Feb 17, 2025
BACKGROUND: Identifying key variables is essential for developing clinical outcome prediction models based on high-dimensional electronic medical records (EMR). However, despite the abundance of feature selection (FS) methods available, challenges re...
Middle Aged Hospital Mortality Emergency Service, Hospital Female Aged Male Outcome Assessment, Health Care Humans Machine Learning Acute Kidney Injury Intensive Care Units Electronic Health Records
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Machine learning via DARTS-Optimized MobileViT models for pancreatic Cancer diagnosis with graph-based deep learning.

BMC medical informatics and decision making Feb 15, 2025
The diagnosis of pancreatic cancer presents a significant challenge due to the asymptomatic nature of the disease and the fact that it is frequently detected at an advanced stage. This study presents a novel approach combining graph-based data repres...
Tomography, X-Ray Computed Deep Learning Pancreatic Neoplasms Humans Machine Learning
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