AIMC Topic: Follow-Up Studies

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Progression and natural history of Atypical Parkinsonism (ATPARK): Protocol for a longitudinal follow-up study from an underrepresented population.

PloS one Jun 26, 2025
BACKGROUND: Atypical Parkinsonian Syndromes (APS) form the third largest group of neurodegenerative disorders including Progressive Supranuclear Palsy (PSP), Multiple System Atrophy (MSA), and Corticobasal Syndrome (CBS). These conditions are charact...
Humans Prospective Studies Longitudinal Studies Follow-Up Studies Parkinsonian Disorders Multiple System Atrophy Supranuclear Palsy, Progressive Female Aged Male Middle Aged Disease Progression
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Real-world faricimab switch in France: artificial intelligence-based detection of changes in exudative signs in difficult-to-treat neovascular age-related macular degeneration.

BMJ open ophthalmology Jun 23, 2025
PURPOSE: Some patients with neovascular age-related macular degeneration (nAMD) have persistent signs of exudation under treatment with intravitreal injections of anti-vascular endothelial growth factor (VEGF) agents. We examined the real-world anato...
Angiogenesis Inhibitors Follow-Up Studies Visual Acuity Tomography, Optical Coherence Vascular Endothelial Growth Factor A Retrospective Studies Female Aged Aged, 80 and over Male Wet Macular Degeneration Antibodies, Bispecific Subretinal Fluid Drug Substitution France Exudates and Transudates Intravitreal Injections Fluorescein Angiography Humans Artificial Intelligence
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Machine learning model for predicting recurrence following intensity-modulated radiation therapy in nasopharyngeal carcinoma.

World journal of surgical oncology Jun 18, 2025
BACKGROUND: Nasopharyngeal carcinoma (NPC) exhibits unique histopathological characteristics compared to other head and neck cancers. The prognosis of NPC patients after intensity-modulated radiation therapy (IMRT) has not been fully studied, and the...
Humans Neoplasm Staging Machine Learning Neoplasm Recurrence, Local Prognosis Radiotherapy, Intensity-Modulated Aged Retrospective Studies Nasopharyngeal Carcinoma Female Adult Nasopharyngeal Neoplasms Male Middle Aged Follow-Up Studies
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Artificial Intelligence-Based Digital Histologic Classifier for Prostate Cancer Risk Stratification: Independent Blinded Validation in Patients Treated With Radical Prostatectomy.

JCO clinical cancer informatics Jun 18, 2025
PURPOSE: Artificial intelligence (AI) tools that identify pathologic features from digitized whole-slide images (WSIs) of prostate cancer (CaP) generate data to predict outcomes. The objective of this study was to evaluate the clinical validity of an...
Prostatectomy Humans Artificial Intelligence Prognosis Retrospective Studies Aged Follow-Up Studies Prostatic Neoplasms Male Neoplasm Grading Middle Aged Risk Assessment
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Peritoneal cytology predicting distant metastasis in uterine carcinosarcoma: machine learning model development and validation.

World journal of surgical oncology Apr 26, 2025
OBJECTIVE: This study develops and validates a machine learning model using peritoneal cytology to predict distant metastasis in uterine carcinosarcoma, aiding clinical decision-making.
Prognosis Female Aged Peritoneum Middle Aged Follow-Up Studies Carcinosarcoma Humans Nomograms Cytodiagnosis Peritoneal Neoplasms Machine Learning Uterine Neoplasms SEER Program
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Preoperative lymph node metastasis risk assessment in invasive micropapillary carcinoma of the breast: development of a machine learning-based predictive model with a web-based calculator.

World journal of surgical oncology Apr 22, 2025
BACKGROUND: Invasive micropapillary carcinoma (IMPC) is a rare subtype of breast cancer characterized by a high risk of lymph node metastasis (LNM). The study aimed to identify predictors of LNM and to develop a machine learning (ML)-based risk predi...
Follow-Up Studies Lymphatic Metastasis Neoplasm Invasiveness Internet Carcinoma, Papillary Breast Neoplasms Middle Aged Humans Risk Assessment Machine Learning Lymph Nodes Prognosis Nomograms Retrospective Studies Female Risk Factors Aged Adult
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SMOTE-Enhanced Explainable Artificial Intelligence Model for Predicting Visual Field Progression in Myopic Normal Tension Glaucoma.

Journal of glaucoma Apr 21, 2025
PRCIS: The AI model, enhanced by SMOTE to balance data classes, accurately predicted visual field deterioration in patients with myopic normal tension glaucoma. Using SHAP analysis, the key variables driving disease progression were identified.
Artificial Intelligence Retrospective Studies Female Aged Intraocular Pressure Humans Follow-Up Studies Vision Disorders Visual Fields Male Visual Field Tests Middle Aged Tonometry, Ocular Disease Progression Low Tension Glaucoma Myopia ROC Curve
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A Deep Learning Survival Model for Evaluating the Survival Prognosis of Papillary Thyroid Cancer: A Population-Based Cohort Study.

Annals of surgical oncology Apr 20, 2025
BACKGROUND: Deep learning can assess the individual survival prognosis in sizeable datasets with intricate underlying processes. However, studies exploring the performance of deep learning survival in papillary thyroid cancer (PTC) are lacking. This ...
Thyroid Neoplasms Follow-Up Studies SEER Program Thyroid Cancer, Papillary Humans Prognosis Adult Female Survival Rate Risk Factors Male Aged Middle Aged Deep Learning
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Updated perspectives on visceral pleural invasion in non-small cell lung cancer: A propensity score-matched analysis of the SEER database.

Current problems in cancer Apr 18, 2025
BACKGROUND: Visceral pleural invasion (VPI), including PL1 (the tumor invades beyond the elastic layer) and PL2 (the tumor extends to the surface of the visceral pleura), plays a crucial role in staging Non-Small Cell Lung Cancer (NSCLC). However, th...
Carcinoma, Non-Small-Cell Lung Follow-Up Studies Neoplasm Invasiveness Neoplasm Staging Pleural Neoplasms SEER Program Aged Propensity Score Survival Rate Pleura Male Middle Aged Humans Lung Neoplasms Prognosis Retrospective Studies Female
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Integrating Machine Learning and Follow-Up Variables to Improve Early Detection of Hepatocellular Carcinoma in Tyrosinemia Type 1: A Multicenter Study.

International journal of molecular sciences Apr 18, 2025
Hepatocellular carcinoma (HCC) is a major complication of tyrosinemia type 1 (HT-1), an inborn error of metabolism affecting tyrosine catabolism. The risk of HCC is higher in late diagnoses despite treatment. Alpha-fetoprotein (AFP) is widely used to...
Infant Alkaline Phosphatase Carcinoma, Hepatocellular Humans Adolescent Young Adult Alanine Transaminase Machine Learning Child, Preschool Adult Tyrosinemias Longitudinal Studies Retrospective Studies Child Biomarkers, Tumor Follow-Up Studies Female Liver Neoplasms Male Early Detection of Cancer Infant, Newborn Middle Aged alpha-Fetoproteins
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