Artificial Intelligence Medical Compendium

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

Showing 32,081 to 32,090 of 220,797 articles

Forecasting toxic metal concentrations in an inland sea ecosystem with machine learning algorithms.

Scientific reports
In recent years, statistical and data-driven modeling approaches have been increasingly employed to predict element concentrations and to examine relationships among environmental features. In this context, the integration of feature selection techni... read more 

[Predicting the need for long-term care: development and comparative evaluation of advanced machine learning models].

Zeitschrift fur Gerontologie und Geriatrie
BACKGROUND AND AIM OF THE ARTICLE: In recent years, the Bavarian Medical Service (Medizinischer Dienst Bayern, MD Bavaria) has recorded an increasing number of initial assessments without determination of a care level (Pflegegrad) within the assessme... read more 

AI model for automatic spinopelvic and spinal alignment parameters measurement from EOS.

European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society
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An accuracy-aware extension to lrp-based pruning for CNNs to prevent cascading accuracy degradation in data-scarce transfer learning.

Scientific reports
Convolutional Neural Networks (CNNs) pre-trained on large-scale datasets such as ImageNet are widely used as feature extractors to construct high-accuracy classification models from scarce data for specific tasks. In such scenarios, fine-tuning the p... read more 

Explainable machine learning for predicting mechanical ventilation in Alzheimer's patients with pneumonia: a SHAP-guided XGBoost nomogram based on MIMIC-IV.

Scientific reports
Alzheimer's disease (AD) patients are particularly vulnerable to pneumonia and subsequent respiratory failure due to neurodegeneration-induced dysphagia and immunosenescence. Accurate prediction of mechanical ventilation (MV) need in this population ... read more 

Objective quantification of chemotherapy-induced madarosis: a pilot study of an automated computer vision pipeline for eyebrow density assessment.

Scientific reports
Chemotherapy-induced madarosis significantly impacts patient quality of life, yet current assessment methods rely heavily on subjective grading, limiting the evaluation of preventive strategies. This study presents a novel automated computer vision p... read more 

CT-Based Glioma Segmentation Using Deep Learning: Validation for Emergency Neuro-oncological Care.

Journal of imaging informatics in medicine
Accurate and rapid delineation of diffuse gliomas is essential in emergency neuro-oncology, yet MRI is often unavailable. We present a deep-learning segmentation approach for routine non-contrast CT and evaluate its technical feasibility and WHO grad... read more 

Wearable ECG and PPG for anxiety detection: a translational digital medicine perspective.

NPJ digital medicine
Anxiety disorders affect hundreds of millions of people worldwide, yet objective and continuous assessment remains limited in clinical practice. To our knowledge, this is the first modality-specific, translational synthesis focusing on wearable ECG a... read more 

Identification of a novel platelet-related prognostic model for hepatocellular carcinoma.

Discover oncology
Hepatocellular carcinoma (HCC) is a highly lethal malignancy with high invasiveness and metastasis. Despite progress in its treatment, the high mortality rate persists due to poor prognosis. In this study, we aimed to develop a prognostic model for H... read more