Artificial Intelligence Medical Compendium

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

Showing 18,191 to 18,200 of 214,278 articles

Machine learning-driven identification of circulating biomarkers and therapeutic compounds for diabetic retinopathy.

Human genomics May 14, 2026
BACKGROUND: Diabetic retinopathy (DR) is a major cause of severe visual impairment, where early diagnosis and intervention are crucial to prevent irreversible damage. Given that obtaining biomarkers from ocular fluids is highly invasive, we here leve... read more 

Is artificial intelligence getting better at anatomy? A two-year review of ChatGPT's free public versions.

Anatomical sciences education May 14, 2026
Artificial intelligence and large language models have significantly influenced medical education by enhancing learning experiences. While previous studies have assessed ChatGPT's performance on anatomy-related questions, a notable gap remains in und... read more 

Moving towards digital twins for precision cardiac electrophysiology: overcoming technical and clinical challenges.

Expert review of cardiovascular therapy May 14, 2026
INTRODUCTION: Precision cardiac electrophysiology seeks to provide healthcare strategies tailored to the individual patient. The concept of digital twins is fundamental to this approach. Digital twins in cardiac electrophysiology are personalized com... read more 

Single-Molecule Identification of Tea Polyphenols and Their Interactions with Metal Ions Using an Engineered Nanopore.

Nano letters May 14, 2026
Tea contains a structurally diverse family of polyphenols, and subtle variations in their molecular architecture critically influence their biochemical activity. Yet resolving such closely related analogs remains an ongoing analytical challenge. Here... read more 

Heterogeneous pathways to depressive and anxiety disorders: A cluster-based predictive study in a nationwide longitudinal cohort.

Psychological medicine May 14, 2026
BACKGROUND: Early prediction of depressive and anxiety disorders is challenging due to substantial heterogeneity in risk pathways. Conventional machine-learning models trained on aggregated populations may obscure subgroup-specific mechanisms and lim... read more 

Large language models and emergence: a complex systems perspective.

Philosophical transactions. Series A, Mathematical, physical, and engineering sciences May 14, 2026
Emergence is a concept in complexity science that describes how many-body systems manifest novel higher-level properties, properties that can be described by replacing high-dimensional mechanisms with lower-dimensional effective variables and theorie... read more 

Goals and the structure of experience.

Philosophical transactions. Series A, Mathematical, physical, and engineering sciences May 14, 2026
Purposeful behaviour is a hallmark of natural and artificial intelligence. Its acquisition is often believed to rely on world models, comprising both descriptive (what is) and prescriptive (what is desirable) aspects that identify and evaluate state ... read more 

What does it mean to have an experience? Two kinds of narrative world models.

Philosophical transactions. Series A, Mathematical, physical, and engineering sciences May 14, 2026
Agents construct world models-internal representations of their environment and their place in it-which they use to plan actions. A key subset is narrative world models, which organize actions and events into temporal episodes with defined beginnings... read more 

Empowerment gain and causal model construction: children and adults are sensitive to controllability and variability in their causal interventions.

Philosophical transactions. Series A, Mathematical, physical, and engineering sciences May 14, 2026
Learning about the causal structure of the world is a fundamental problem for human cognition. Causal models and especially causal learning have proved to be difficult for large pretrained models using standard techniques of deep learning. In contras... read more 

A sentence is worth a thousand pictures: can large language models understand hum4n L4ngu4ge and the W0rld behind W0rds?

Philosophical transactions. Series A, Mathematical, physical, and engineering sciences May 14, 2026
The current generation of large language models (LLMs) has been linked to claims about human-like linguistic performance, and their applications are hailed both as a step towards artificial general intelligence and as a major advance in understanding... read more 
Popular Topics
Recent Journals