Data augmentation alters feature importance in XGBoost for CVD prediction.
Data augmentation reshapes feature importance in CVD prediction models. Key findings: SMOTE model accuracy 1.0! ππ
November 26, 2025
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Discover the newest research about AI innovations in π€ Machine Learning.
Deep Learning Discrimination for BCI Implementation Using 3D Convolutional Neural Network and EEG Topographic Maps.
Deep Learning Enhances BCI Accuracy: 3D CNNs & EEG Maps Show Promise for Motor Impairment Rehabilitation π§ π»
November 26, 2025
Interpretable Machine Learning Models for Analyzing Determinants Affecting the Use of mHealth Apps Among Family Caregivers of Patients With Stroke in Chinese Communities: Cross-Sectional Survey Study.
Exploring mHealth app usage among stroke caregivers: 57.2% adoption, key factors include education, age, and motivation. π±π§
November 25, 2025
Artificial Intelligence and Radiogenomics for Pediatric CNS Neoplasms.
AI & Radiogenomics in Pediatric CNS Tumors: 2021 WHO guidelines enhance diagnosis via molecular profiling. Promising future ahead! π§ β¨
November 23, 2025
Polyp image segmentation based on parallel dilated convolution and dual attention mechanisms.
Revolutionary polyp segmentation model MSFNet achieves 0.892 Dice score, enhancing early colorectal cancer detection. ππ
November 23, 2025
Evaluating the role of ChatGPT in rehabilitation medicine: a narrative review.
ChatGPT in rehabilitation medicine: promising yet limited. Key challenges include inconsistent performance and ethical concerns. π€βοΈ
November 22, 2025
Rare disease education in medical schools: patient-centered and innovative strategies.
Rare diseases affect 300 million globally. Medical education must adapt to improve care. ππ
November 22, 2025
Global trends and hotspots in AI applications for CT detection of chronic obstructive pulmonary disease: A bibliometric analysis from 2012 to 2024.
AI in CT Detection of COPD: 189 Publications, 37.83% Growth ππ
November 22, 2025
Intelligent Sensing: The Emerging Integration of Machine Learning and Soft Sensors Based on Hydrogels and Ionogels.
Exploring intelligent sensing: Machine learning meets hydrogels & ionogels for health monitoring and beyond! π€π§
November 21, 2025
Evaluating the Performance of ChatGPT-4V in Detecting Inflammatory Magnetic Resonance Imaging Findings of Sacroiliitis: Potentials, Challenges, and Limitations.
AI in MRI: ChatGPT-4V shows 95.5% sensitivity for bone marrow edema in sacroiliitis detection. Limitations noted. ππ©»
November 21, 2025