Artificial Intelligence Medical Compendium
Explore the latest research on artificial intelligence and machine learning in medicine.
Showing 33,211 to 33,220 of 221,227 articles
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
Platelet-Rich Plasma Devices in Dermatology.
Dermatologic clinics
Apr 9, 2026
Platelet-rich plasma (PRP) has become an important therapeutic tool in dermatology, with expanding applications in both medical and cosmetic practice. This article highlights the wide variety of PRP preparation and delivery devices, emphasizing how c... read more
On the Global Photometric Alignment for Low-Level Vision
arXiv
Apr 9, 2026
Supervised low-level vision models rely on pixel-wise losses against paired references, yet paired training sets exhibit per-pair photometric inconsistency, say, different image pairs demand different global brightness, color, or white-balance mappin... read more
MedVR: Annotation-Free Medical Visual Reasoning via Agentic Reinforcement Learning
arXiv
Apr 9, 2026
Medical Vision-Language Models (VLMs) hold immense promise for complex clinical tasks, but their reasoning capabilities are often constrained by text-only paradigms that fail to ground inferences in visual evidence. This limitation not only curtails ... read more
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