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View article: BIOM-94. MULTIMODAL EXPLAINABLE AI FOR MOLECULAR SUBTYPING OF GLIOMAS USING RADIOLOGY AND PATHOLOGY INTEGRATION
BIOM-94. MULTIMODAL EXPLAINABLE AI FOR MOLECULAR SUBTYPING OF GLIOMAS USING RADIOLOGY AND PATHOLOGY INTEGRATION Open
Accurate molecular subtyping of gliomas is essential for guiding integrated diagnosis, predicting prognosis, and informing clinical decision-making in neuro-oncology. While imaging and pathology each provide valuable perspectives, unimodal…
View article: 92 Prognostic value of AI-informed LAG-3 to tumor cell ratio in stage IV metastatic bladder cancer patients treated with multiple lines of immune checkpoint inhibitors
92 Prognostic value of AI-informed LAG-3 to tumor cell ratio in stage IV metastatic bladder cancer patients treated with multiple lines of immune checkpoint inhibitors Open
View article: 66 QVT Score, a radiomic biomarker of tumor vascularity, enables immune checkpoint inhibitor (ICI) outcome prediction and early survival assessment in NSCLC
66 QVT Score, a radiomic biomarker of tumor vascularity, enables immune checkpoint inhibitor (ICI) outcome prediction and early survival assessment in NSCLC Open
View article: Opportunistic hepatic steatosis assessment in low-dose coronary artery calcium CT using liver adipose-radiomic index (LARI)
Opportunistic hepatic steatosis assessment in low-dose coronary artery calcium CT using liver adipose-radiomic index (LARI) Open
View article: Quantitative assessment of impact of technical and population-based factors on fairness of AI models for chest X-ray scans
Quantitative assessment of impact of technical and population-based factors on fairness of AI models for chest X-ray scans Open
Ensuring fairness in diagnostic AI models is essential for their safe deployment in clinical practice. This study investigates fairness by jointly analyzing population-based factors (sex and race) and technical factors (imaging site and X-…
View article: Artificial intelligence defines spatial patterns of tumor-infiltrating lymphocytes highly associated with outcome – a pan-GI cancer study
Artificial intelligence defines spatial patterns of tumor-infiltrating lymphocytes highly associated with outcome – a pan-GI cancer study Open
View article: Predicting Rejection Risk in Heart Transplantation: An Integrated Clinical–Histopathologic Framework for Personalized Post-Transplant Care
Predicting Rejection Risk in Heart Transplantation: An Integrated Clinical–Histopathologic Framework for Personalized Post-Transplant Care Open
Background Cardiac allograft rejection (CAR) remains the leading cause of early graft failure after heart transplantation (HT). Current diagnostics, including histologic grading of endomyocardial biopsy (EMB) and blood-based assays, lack a…
View article: Opportunistic use of artificial intelligence with X-ray imaging for diagnosis of HIV status in tuberculosis patients in Uganda and Tanzania
Opportunistic use of artificial intelligence with X-ray imaging for diagnosis of HIV status in tuberculosis patients in Uganda and Tanzania Open
View article: Pancancer outcome prediction via a unified weakly supervised deep learning model
Pancancer outcome prediction via a unified weakly supervised deep learning model Open
Accurate prognosis prediction is essential for guiding cancer treatment and improving patient outcomes. While recent studies have demonstrated the potential of histopathological images in survival analysis, existing models are typically de…
View article: AI-informed retinal biomarkers predict 10-year risk of onset of multiple hematological malignancies
AI-informed retinal biomarkers predict 10-year risk of onset of multiple hematological malignancies Open
View article: Transforming Cardio-Oncology Care Through AI-Driven Large Language Model Systems
Transforming Cardio-Oncology Care Through AI-Driven Large Language Model Systems Open
View article: Fundus Photograph-Derived Computational Features Predict Risk of Cardiovascular Events in the Chronic Renal Insufficiency Cohort Clinical Observational Study
Fundus Photograph-Derived Computational Features Predict Risk of Cardiovascular Events in the Chronic Renal Insufficiency Cohort Clinical Observational Study Open
Background: Patients with CKD face an elevated but variable risk of cardiovascular (CV) disease. Retinal imaging in CKD provides a non-invasive opportunity for CV risk stratification through microvascular analysis. The objective of this st…
View article: Detection of prostate cancer in 3D pathology datasets via generative immunolabeling
Detection of prostate cancer in 3D pathology datasets via generative immunolabeling Open
Recent advancements in nondestructive 3D pathology offer a complement to standard histology by enabling comprehensive volumetric analyses of intact clinical specimens (e.g. biopsies). Prior studies have demonstrated the added prognostic va…
View article: A deep learning derived prostate zonal volume‐based biomarker from T2‐weighted MRI to distinguish between prostate cancer and benign prostatic hyperplasia
A deep learning derived prostate zonal volume‐based biomarker from T2‐weighted MRI to distinguish between prostate cancer and benign prostatic hyperplasia Open
Background Benign prostatic hyperplasia (BPH) and prostate cancer (PCa) share overlapping characteristics on magnetic resonance imaging (MRI), confounding the diagnosis and detection of PCa. There is thus a clinical need to accurately diff…
View article: Deep-learning triage of 3D pathology datasets for comprehensive and efficient pathologist assessments
Deep-learning triage of 3D pathology datasets for comprehensive and efficient pathologist assessments Open
Standard-of-care slide-based 2D histopathology severely undersamples spatially heterogeneous tissue specimens, with each thin 2D section representing <1% of the entire tissue volume (in the case of a biopsy). Recent advances in non-destruc…
View article: Computational Morphological Assessment of Bladder Cancer Tissue Is Prognostic of Recurrence and Overall Survival Following Transurethral Resection
Computational Morphological Assessment of Bladder Cancer Tissue Is Prognostic of Recurrence and Overall Survival Following Transurethral Resection Open
PURPOSE Current risk assessment tools for bladder cancer following transurethral resection of the bladder tumor (TURBT) depend on pathological examination of resected tissue, with the consequent intra- and inter-reviewer variability. Impro…
View article: Population-Specific Radiomics From Biparametric Magnetic Resonance Imaging Improves Prostate Cancer Risk Stratification in African American Men
Population-Specific Radiomics From Biparametric Magnetic Resonance Imaging Improves Prostate Cancer Risk Stratification in African American Men Open
Purpose: To quantify population-specific differences in prostate cancer (PCa) presentation between African American (AA) and White (W) men on MRI using radiomics. Materials and Methods: We identified N = 149 men with PCa who underwent 3T M…
View article: A novel structural modeling magnitude and orientation radiomic descriptor for evaluating response to neoadjuvant therapy in rectal cancers via MRI
A novel structural modeling magnitude and orientation radiomic descriptor for evaluating response to neoadjuvant therapy in rectal cancers via MRI Open
With advances in neoadjuvant therapies for rectal cancer, accurately evaluating tumor regression and response is increasingly critical for enabling personalized follow-up, including non-operative management. Given the lack of reliable asse…
View article: 32P A novel imaging biomarker, quantitative vessel tortuosity, captures the antiangiogenic effect of fruquintinib in metastatic colorectal cancer
32P A novel imaging biomarker, quantitative vessel tortuosity, captures the antiangiogenic effect of fruquintinib in metastatic colorectal cancer Open
View article: Computational image and molecular analysis reveal unique prognostic features of immune architecture in African Versus European American women with endometrial cancer
Computational image and molecular analysis reveal unique prognostic features of immune architecture in African Versus European American women with endometrial cancer Open
View article: Computationally integrating radiology and pathology image features for predicting treatment benefit and outcome in lung cancer
Computationally integrating radiology and pathology image features for predicting treatment benefit and outcome in lung cancer Open
Lung cancer, the leading cause of cancer-related deaths globally, includes non-small cell lung cancer (NSCLC) (85% of cases) and small cell lung cancer (SCLC) (13-15%). While accurate diagnosis and treatment selection are critical, the abs…
View article: Clinical relevance of computationally derived tubular features and their spatial relationships with the interstitial microenvironment in minimal change disease/focal segmental glomerulosclerosis
Clinical relevance of computationally derived tubular features and their spatial relationships with the interstitial microenvironment in minimal change disease/focal segmental glomerulosclerosis Open
View article: Supplementary Information from Prostate Cancer Risk Stratification via Nondestructive 3D Pathology with Deep Learning–Assisted Gland Analysis
Supplementary Information from Prostate Cancer Risk Stratification via Nondestructive 3D Pathology with Deep Learning–Assisted Gland Analysis Open
Supplementary methods, notes, figures, tables, video captions, and references
View article: Supplementary Information from Prostate Cancer Risk Stratification via Nondestructive 3D Pathology with Deep Learning–Assisted Gland Analysis
Supplementary Information from Prostate Cancer Risk Stratification via Nondestructive 3D Pathology with Deep Learning–Assisted Gland Analysis Open
Supplementary methods, notes, figures, tables, video captions, and references
View article: Quantitative 3D imaging of mouse and human intrahepatic bile ducts in homeostasis and liver injury
Quantitative 3D imaging of mouse and human intrahepatic bile ducts in homeostasis and liver injury Open
Intrahepatic bile ducts (IHBDs) form a complex hierarchical network essential for liver function. Remodeling and expansion of this network during ductular reaction (DR) is a hallmark of liver disease that can be a key indicator of disease …
View article: Supplementary Information from Prostate Cancer Risk Stratification via Nondestructive 3D Pathology with Deep Learning–Assisted Gland Analysis
Supplementary Information from Prostate Cancer Risk Stratification via Nondestructive 3D Pathology with Deep Learning–Assisted Gland Analysis Open
Supplementary methods, notes, figures, tables, video captions, and references
View article: Supplementary Information from Prostate Cancer Risk Stratification via Nondestructive 3D Pathology with Deep Learning–Assisted Gland Analysis
Supplementary Information from Prostate Cancer Risk Stratification via Nondestructive 3D Pathology with Deep Learning–Assisted Gland Analysis Open
Supplementary methods, notes, figures, tables, video captions, and references
View article: Deep learning informed multimodal fusion of radiology and pathology to predict outcomes in HPV-associated oropharyngeal squamous cell carcinoma
Deep learning informed multimodal fusion of radiology and pathology to predict outcomes in HPV-associated oropharyngeal squamous cell carcinoma Open
View article: Stable and discriminating OCT‐derived radiomics features for predicting anti‐VEGF treatment response in diabetic macular edema
Stable and discriminating OCT‐derived radiomics features for predicting anti‐VEGF treatment response in diabetic macular edema Open
Background Radiomics‐based characterization of fluid and retinal tissue compartments of spectral‐domain optical coherence tomography (SD‐OCT) scans has shown promise to predict anti‐VEGF therapy treatment response in diabetic macular edema…
View article: Supplementary Data from BEEx Is an Open-Source Tool That Evaluates Batch Effects in Medical Images to Enable Multicenter Studies
Supplementary Data from BEEx Is an Open-Source Tool That Evaluates Batch Effects in Medical Images to Enable Multicenter Studies Open
Supplementary materials