Artificial Intelligence Medical Compendium
Explore the latest research on artificial intelligence and machine learning in medicine.
Showing 33,501 to 33,510 of 221,422 articles
Extended Reality in Neurosurgery : Surgical Planning, Navigation, Education, and Patient Communication.
Journal of Korean Neurosurgical Society
Apr 9, 2026
Extended reality (XR), encompassing virtual reality (VR), augmented reality (AR), and mixed reality (MR), has emerged as a transformative technology in neurosurgery. This narrative review examines the current applications of XR technologies across fo... read more
An Emerging Role of Artificial Intelligence in Pediatric Neuroanesthesia.
Journal of Korean Neurosurgical Society
Apr 9, 2026
Anesthesia for pediatric neurosurgery represents a highly complex and challenging field, characterized by age-dependent physiological variability, heterogeneous patient populations, and the critical need to protect the developing central nervous syst... read more
What Kind of Other Is AI? Symbolization, Desire, and Adolescent Development in the Age of Artificial Intelligence.
Journal of the American Psychoanalytic Association
Apr 9, 2026
Artificial intelligence (AI) is becoming a new kind of other in the psychic lives of adolescents. From emotionally responsive chatbots to AI-enhanced learning tools, these systems simulate relational presence while lacking subjectivity, desire, and e... read more
(Exhaustive) symbolic regression and model selection by minimum description length.
Philosophical transactions. Series A, Mathematical, physical, and engineering sciences
Apr 9, 2026
Symbolic regression (SR) is the machine learning (ML) method for learning functions from data. After a brief overview of the SR landscape, I will describe the two main challenges that traditional algorithms face: they have an unknown (and probably si... read more
The need for verification in artificial intelligence-driven scientific discovery.
Philosophical transactions. Series A, Mathematical, physical, and engineering sciences
Apr 9, 2026
Artificial intelligence (AI) is transforming the practice of science. Machine learning (ML) and large language models (LLMs) can generate hypotheses at a scale and speed far exceeding traditional methods, offering the potential to accelerate discover... read more
Bayesian symbolic regression: automated equation discovery from a physicist's perspective.
Philosophical transactions. Series A, Mathematical, physical, and engineering sciences
Apr 9, 2026
Symbolic regression automates the process of learning closed-form mathematical models from data. Standard approaches to symbolic regression, as well as newer deep learning approaches, rely on heuristic model selection criteria, heuristic regularizati... read more
Symbolic emulators for cosmology: accelerating cosmological analyses without sacrificing precision.
Philosophical transactions. Series A, Mathematical, physical, and engineering sciences
Apr 9, 2026
In cosmology, emulators play a crucial role by providing fast and accurate predictions of complex physical models, enabling efficient exploration of high-dimensional parameter spaces that would be computationally prohibitive with direct numerical sim... read more
Constraining dark matter halo profiles with symbolic regression.
Philosophical transactions. Series A, Mathematical, physical, and engineering sciences
Apr 9, 2026
Dark matter haloes are typically characterized by radial density profiles with fixed forms motivated by simulations (e.g. Navarro-Frenk-White [NFW]). However, simulation predictions depend on uncertain dark matter physics and baryonic modelling. Here... read more
Spatial Organellomics Maps Cell State Diversity and Metabolic Adaptation in Tissues
bioRxiv
Apr 9, 2026
Cell state diversity drives tissue adaptability, repair, and disease resilience, but fully capturing this cellular complexity remains a challenge. Most current approaches rely on transcriptional profiling and often overlook functional insights embedd... read more
State-Dependent Parameter Relevance in Intensive Care: Syndrome-Specific Centroids Improve Orbit-Based Mortality Prediction from AUC 0.59 to 0.83 in 59,362 Predictions
medRxiv
Apr 8, 2026
Background: The Therapeutic Distance framework (Paper 1) achieved AUC 0.61 for orbit-based mortality prediction in 11,627 sepsis patients. We hypothesised that incorporating state-dependent parameter relevance would substantially improve prediction. ... read more
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