Aged, 80 and over

Screening for Depression and Anxiety Using a Nonverbal Working Memory Task in a Sample of Older Brazilians: Observational Study of Preliminary Artificial Intelligence Model Transferability.

JMIR formative research Dec 12, 2024

BACKGROUND: Anxiety and depression represent prevalent yet frequently undetected mental health concerns within the older population. The challenge of identifying these conditions presents an opportunity for artificial intelligence (AI)-driven, remote...

Depression Aged, 80 and over Male Mass Screening Middle Aged Memory, Short-Term Humans Brazil South American People Anxiety Artificial Intelligence Female Aged

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Retinal fluid quantification using a novel deep learning algorithm in patients treated with faricimab in the TRUCKEE study.

Eye (London, England) Dec 11, 2024

BACKGROUND: Investigate retinal fluid changes via a novel deep-learning algorithm in real-world patients receiving faricimab for the treatment of neovascular age-related macular degeneration (nAMD).

Aged Aged, 80 and over Male Middle Aged Deep Learning Angiogenesis Inhibitors Humans Visual Acuity Algorithms Tomography, Optical Coherence Retrospective Studies Vascular Endothelial Growth Factor A Wet Macular Degeneration Female Intravitreal Injections Antibodies, Bispecific Subretinal Fluid

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Residual risk prediction in anticoagulated patients with atrial fibrillation using machine learning: A report from the GLORIA-AF registry phase II/III.

European journal of clinical investigation Dec 11, 2024

BACKGROUND: Although oral anticoagulation decreases the risk of thromboembolism in patients with atrial fibrillation (AF), a residual risk of thrombotic events still exists. This study aimed to construct machine learning (ML) models to predict the re...

Ischemic Attack, Transient Thromboembolism Male Myocardial Infarction Middle Aged Thrombosis Risk Assessment Administration, Oral ROC Curve Algorithms Atrial Fibrillation Logistic Models Female Ischemic Stroke Risk Factors Humans Area Under Curve Aged Anticoagulants Machine Learning Aged, 80 and over Registries Stroke

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Breath-hold diffusion-weighted MR imaging (DWI) using deep learning reconstruction: Comparison with navigator triggered DWI in patients with malignant liver tumors.

Radiography (London, England : 1995) Dec 11, 2024

INTRODUCTION: This study investigated the feasibility of single breath-hold (BH) diffusion-weighted MR imaging (DWI) using deep learning reconstruction (DLR) compared to navigator triggered (NT) DWI in patients with malignant liver tumors.

Diffusion Magnetic Resonance Imaging Feasibility Studies Image Interpretation, Computer-Assisted Signal-To-Noise Ratio Breath Holding Humans Male Middle Aged Retrospective Studies Deep Learning Female Liver Neoplasms Aged Liver Aged, 80 and over Adult

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Early Detection of Dementia in Populations With Type 2 Diabetes: Predictive Analytics Using Machine Learning Approach.

Journal of medical Internet research Dec 11, 2024

BACKGROUND: The possible association between diabetes mellitus and dementia has raised concerns, given the observed coincidental occurrences.

Humans Neural Networks, Computer Machine Learning Retrospective Studies Dementia Diabetes Mellitus, Type 2 Female Hypoglycemic Agents Aged Taiwan Aged, 80 and over Early Diagnosis Male Middle Aged

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Enhancing thin slice 3D T2-weighted prostate MRI with super-resolution deep learning reconstruction: Impact on image quality and PI-RADS assessment.

Magnetic resonance imaging Dec 10, 2024

PURPOSES: This study aimed to assess the effectiveness of Super-Resolution Deep Learning Reconstruction (SR-DLR) -a deep learning-based technique that enhances image resolution and quality during MRI reconstruction- in improving the image quality of ...

Prostatic Neoplasms Prostate Image Interpretation, Computer-Assisted Humans Image Enhancement Deep Learning Retrospective Studies Imaging, Three-Dimensional Aged Image Processing, Computer-Assisted Aged, 80 and over Magnetic Resonance Imaging Male Middle Aged

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Development and validation of a deep learning model for morphological assessment of myeloproliferative neoplasms using clinical data and digital pathology.

British journal of haematology Dec 10, 2024

The subjectivity of morphological assessment and the overlapping pathological features of different subtypes of myeloproliferative neoplasms (MPNs) make accurate diagnosis challenging. To improve the pathological assessment of MPNs, we developed a di...

Aged, 80 and over Adult Male Middle Aged Deep Learning Bone Marrow Myeloproliferative Disorders Humans Female Aged

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End-to-end deep learning patient level classification of affected territory of ischemic stroke patients in DW-MRI.

Neuroradiology Dec 10, 2024

PURPOSE: To develop an end-to-end DL model for automated classification of affected territory in DWI of stroke patients.

Middle Aged Deep Learning Ischemic Stroke Image Interpretation, Computer-Assisted Diffusion Magnetic Resonance Imaging Aged Aged, 80 and over Adult Male Humans Retrospective Studies Female

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Machine Learning-Based Prediction for In-Hospital Mortality After Acute Intracerebral Hemorrhage Using Real-World Clinical and Image Data.

Journal of the American Heart Association Dec 10, 2024

BACKGROUND: Machine learning (ML) techniques are widely employed across various domains to achieve accurate predictions. This study assessed the effectiveness of ML in predicting early mortality risk among patients with acute intracerebral hemorrhage...

Female Risk Factors Aged Aged, 80 and over Male Humans Machine Learning Prognosis Retrospective Studies Tomography, X-Ray Computed Cerebral Hemorrhage Predictive Value of Tests Acute Disease Middle Aged Risk Assessment Hospital Mortality ROC Curve

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Prediction of Two Year Survival Following Elective Repair of Abdominal Aortic Aneurysms at A Single Centre Using A Random Forest Classification Algorithm.

European journal of vascular and endovascular surgery : the official journal of the European Society for Vascular Surgery Dec 9, 2024

OBJECTIVE: The decision to electively repair an abdominal aortic aneurysm (AAA) involves balancing the risk of rupture, peri-procedural death, and life expectancy. Random forest classifiers (RFCs) are powerful machine learning algorithms. The aim of ...

Algorithms Retrospective Studies Female Risk Factors Endovascular Procedures Aged Aged, 80 and over Male Treatment Outcome Middle Aged Predictive Value of Tests Risk Assessment Aortic Aneurysm, Abdominal Time Factors Elective Surgical Procedures Random Forest Humans Machine Learning

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AI Medical Compendium Topic

Explore the latest research on artificial intelligence and machine learning in medicine.

Screening for Depression and Anxiety Using a Nonverbal Working Memory Task in a Sample of Older Brazilians: Observational Study of Preliminary Artificial Intelligence Model Transferability.

Retinal fluid quantification using a novel deep learning algorithm in patients treated with faricimab in the TRUCKEE study.

Residual risk prediction in anticoagulated patients with atrial fibrillation using machine learning: A report from the GLORIA-AF registry phase II/III.

Breath-hold diffusion-weighted MR imaging (DWI) using deep learning reconstruction: Comparison with navigator triggered DWI in patients with malignant liver tumors.

Early Detection of Dementia in Populations With Type 2 Diabetes: Predictive Analytics Using Machine Learning Approach.

Enhancing thin slice 3D T2-weighted prostate MRI with super-resolution deep learning reconstruction: Impact on image quality and PI-RADS assessment.

Development and validation of a deep learning model for morphological assessment of myeloproliferative neoplasms using clinical data and digital pathology.

End-to-end deep learning patient level classification of affected territory of ischemic stroke patients in DW-MRI.

Machine Learning-Based Prediction for In-Hospital Mortality After Acute Intracerebral Hemorrhage Using Real-World Clinical and Image Data.

Prediction of Two Year Survival Following Elective Repair of Abdominal Aortic Aneurysms at A Single Centre Using A Random Forest Classification Algorithm.

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