Artificial Intelligence Medical Compendium
Explore the latest research on artificial intelligence and machine learning in medicine.
Showing 3,671 to 3,680 of 203,255 articles
Mixed-methods study on GenAI Usage, dependence behaviors, and standardized application paths among Chinese medical students.
NPJ digital medicine
Jun 2, 2026
Generative artificial intelligence (GenAI) is reshaping medical education while fostering technological dependence among students. This study employed an explanatory sequential mixed-methods design. In the quantitative phase, an empirical analysis wa... read more
Deep learning prediction of pathological complete response in breast cancer using Mamba architecture.
NPJ digital medicine
Jun 2, 2026
Deep learning is capable of efficiently predicting the therapeutic efficacy of neoadjuvant chemotherapy (NAC) in breast cancer. However, current methods predominantly rely on convolutional neural networks or transformer architectures and are often va... read more
Development and early feasibility testing of machine-learning algorithms to non-invasively assess hemoglobin levels.
npj biomedical innovations
Jun 2, 2026
The HeMonitor study evaluated the feasibility and accuracy of non-invasive hemoglobin (Hb) assessment using image-based techniques and machine learning in patients with hematologic malignancies. A total of 367 patients with hematologic malignancies a... read more
Chaotic and complex dynamics expose the limits of counterfactual reasoning.
Scientific reports
Jun 2, 2026
Counterfactual reasoning, a cornerstone of human cognition and decision-making, is often seen as the "holy grail" of causal learning, with applications ranging from interpreting machine learning models to promoting algorithmic fairness. While counter... read more
Rapid monitoring of drought and salinity stress responses in wheat via potential Raman-derived biomarkers and traditional biochemical indicators.
Scientific reports
Jun 2, 2026
Abiotic stresses such as drought and salinity significantly constrain the productivity of in vitro-grown wheat (Triticum aestivum L.) by disrupting its biochemical and physiological homeostasis. Rapid, non-destructive, and data-driven diagnostic appr... read more
The Open Materials 2024 (OMat24) inorganic materials dataset and models.
Nature computational science
Jun 2, 2026
The discovery and simulation of inorganic materials is core to diverse applications from climate change to semiconductor manufacturing. Artificial intelligence has the potential to dramatically accelerate materials simulation, discovery and design. A... read more
An explainable machine learning approach to predict fragility fractures and the identification of important features.
Scientific reports
Jun 2, 2026
In this study, we developed ML algorithms to predict fragility fractures, considering the occurrence of fractures at different skeletal sites, using the data from the Canadian Multicentre Osteoporosis Study (CaMos) with participants aged 50 years or ... read more
Missing-data-aware machine learning prediction of in-hospital major adverse cardiovascular events after primary percutaneous coronary intervention for ST-segment elevation myocardial infarction.
Scientific reports
Jun 2, 2026
Machine learning (ML) offers opportunities to improve prognostication after ST-segment elevation myocardial infarction (STEMI), but real-world registries frequently contain incomplete data, and inappropriate handling of missingness may degrade perfor... read more
Early antifungal resistance prediction based on MALDI-TOF mass spectrometry and machine learning.
Scientific reports
Jun 2, 2026
Antimicrobial resistance (AMR) is a significant global health threat. Recent studies have shown that combining MALDI-TOF mass spectrometry with machine learning algorithms can accelerate AMR determination. However, these efforts have predominantly fo... read more
Hybrid spatial-field attention network for meteorological data downscaling.
Scientific reports
Jun 2, 2026
Near-surface weather variables play an important role in production. However, the coarse spatial resolution meteorological data in existing meteorological products limit their applicability in modern high-precision engineering and decision-making sce... read more
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