AIMC Topic: Retrospective Studies

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Machine learning strategies for multi-label pre-diagnosis of diseases with superficial data.

Computer methods and programs in biomedicine Jun 16, 2025
BACKGROUND AND OBJECTIVE: General practice (GP) pre-diagnosis, a key task in disease triage, directs patients to suitable departments despite limited data and multi-label classification challenges. To address this issue, a framework with dimensionali...
Algorithms Retrospective Studies Electronic Health Records Diagnosis, Computer-Assisted Support Vector Machine Humans Neural Networks, Computer Machine Learning General Practice
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Whole-lesion-aware network based on freehand ultrasound video for breast cancer assessment: a prospective multicenter study.

Cancer imaging : the official publication of the International Cancer Imaging Society Jun 16, 2025
BACKGROUND: The clinical application of artificial intelligence (AI) models based on breast ultrasound static images has been hindered in real-world workflows due to operator-dependence of standardized image acquisition and incomplete view of breast ...
Ultrasonography, Mammary Image Interpretation, Computer-Assisted Female Humans Aged Artificial Intelligence Adult Prospective Studies Breast Neoplasms Retrospective Studies Middle Aged
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Application Value of Deep Learning-Based AI Model in the Classification of Breast Nodules.

British journal of hospital medicine (London, England : 2005) Jun 15, 2025
Breast nodules are highly prevalent among women, and ultrasound is a widely used screening tool. However, single ultrasound examinations often result in high false-positive rates, leading to unnecessary biopsies. Artificial intelligence (AI) has dem...
Humans Aged Deep Learning ROC Curve Adult Neural Networks, Computer Ultrasonography, Mammary Sensitivity and Specificity Artificial Intelligence Breast Breast Neoplasms Retrospective Studies Middle Aged Female
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Clinical feasibility of AI Doctors: Evaluating the replacement potential of large language models in outpatient settings for central nervous system tumors.

International journal of medical informatics Jun 12, 2025
BACKGROUND AND OBJECTIVES: The treatment of central nervous system (CNS) tumors is complex and resource-intensive, with higher mortality in underserved regions. Large language models (LLMs) show promise in medical support, but their real-world perfor...
Humans Artificial Intelligence Retrospective Studies Language Female Ambulatory Care Outpatients Central Nervous System Neoplasms Adult Multilingualism Male Large Language Models Middle Aged Feasibility Studies
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Development and validation of a cardiac surgery-associated acute kidney injury prediction model using the MIMIC-IV database.

PloS one Jun 12, 2025
OBJECTIVE: This study aimed to develop an innovative early prediction model for acute kidney injury (AKI) following cardiac surgery in intensive care unit (ICU) settings, leveraging preoperative and postoperative clinical variables, and to identify k...
Postoperative Complications ROC Curve Logistic Models Cardiac Surgical Procedures Risk Factors Humans Aged Male Databases, Factual Algorithms Middle Aged Retrospective Studies Acute Kidney Injury Intensive Care Units Female
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RCMIX model based on pre-treatment MRI imaging predicts T-downstage in MRI-cT4 stage rectal cancer.

Cancer letters Jun 11, 2025
Neoadjuvant therapy (NAT) is the standard treatment strategy for MRI-defined cT4 rectal cancer. Predicting tumor regression can guide the resection plane to some extent. Here, we covered pre-treatment MRI imaging of 363 cT4 rectal cancer patients rec...
Magnetic Resonance Imaging Neoplasm Staging Rectal Neoplasms Disease-Free Survival Machine Learning Aged Humans Prognosis Adult Retrospective Studies Male Female Middle Aged Neoadjuvant Therapy
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A machine learning approach for personalized breast radiation dosimetry in CT: Integrating radiomics and deep neural networks.

European journal of radiology Jun 11, 2025
PURPOSE: To develop a machine learning-based workflow for patient-specific breast radiation dosimetry in CT.
Precision Medicine Retrospective Studies Tomography, X-Ray Computed Female Aged Humans Neural Networks, Computer Machine Learning Deep Learning Breast Radiation Dosage Radiometry Adult Breast Neoplasms Radiomics Middle Aged
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Evaluation of semi-automated versus fully automated technologies for computed tomography scalable body composition analyses in patients with severe acute respiratory syndrome Coronavirus-2.

Clinical nutrition ESPEN Jun 11, 2025
RATIONALE AND OBJECTIVES: Fully automated, artificial intelligence (AI) -based software has recently become available for scalable body composition analysis. Prior to broad application in the clinical arena, validation studies are needed. Our goal wa...
Tomography, X-Ray Computed Female SARS-CoV-2 Aged Adult Male Middle Aged Muscle, Skeletal Adipose Tissue Humans Artificial Intelligence Software COVID-19 Retrospective Studies Body Composition Intra-Abdominal Fat
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Identification of neurological text markers associated with risk of stroke.

Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association Jun 11, 2025
BACKGROUND: Delayed or missed stroke diagnosis is associated with poor outcomes. We utilized natural language processing of notes from non-neurological emergency department (ED) encounters to identify text phrases indicating stroke presentations that...
Stroke Data Mining Academic Medical Centers Aged Aged, 80 and over Male Retrospective Studies Middle Aged Risk Assessment Humans Electronic Health Records Time Factors Prognosis Female Predictive Value of Tests Reproducibility of Results Natural Language Processing Risk Factors Emergency Service, Hospital
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Identifying patients at risk of increased health utilization following lumbar spine surgery.

Journal of clinical neuroscience : official journal of the Neurosurgical Society of Australasia Jun 11, 2025
BACKGROUND: Adequate preoperative identification of patients at risk of significant healthcare utilization after surgery could help guide preoperative decision-making as well as postoperative patient management. While several studies have proposed me...
Patient Acceptance of Health Care Adult Male Middle Aged Postoperative Complications Cohort Studies Spinal Fusion Lumbar Vertebrae Spinal Stenosis Decompression, Surgical Machine Learning Retrospective Studies Female Risk Factors Aged Humans
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