Artificial Intelligence Medical Compendium

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

Showing 1,061 to 1,070 of 213,401 articles

Explainable machine learning for automated robotic surgical skill assessment using rich kinematic features.

Journal of robotic surgery
Robotic-assisted surgery (RAS) extends minimally invasive surgery by restoring dexterity, tremor filtration, and ergonomic console control compared with open procedures and conventional laparoscopy. Objective, scalable skill assessment from console k... read more 

Mapping the global landscape of robot-assisted hernia surgery research: a bibliometric analysis.

Journal of robotic surgery
To characterize the worldwide body of literature on robot-assisted hernia surgery through bibliometric and scientometric approaches, and to clarify its publication trajectory, influential contributors, collaborative structure, and evolving research p... read more 

Natural language processing tool for extracting information about opioid overdoses in the USA from case narratives in the violent death reporting system.

Injury prevention : journal of the International Society for Child and Adolescent Injury Prevention
BACKGROUND: Improving the infrastructure for drug overdose surveillance is critical for identifying new threats and responding to emerging trends. We aimed to develop a prototype tool using the principles of natural language processing that can extra... read more 

FloREN: Decoding Immune Regulatory Networks through Interpretable Graph Transformer Patient Representations.

bioRxiv
Single-cell RNA sequencing (scRNA-seq) enables detailed characterization of cellular heterogeneity, yet understanding the full cellular and regulatory environment of complex tissues remains challenging. In the era of large single-cell atlases, this t... read more 

From Hodgkin-Huxley to Pretrained Neural Inference AI

bioRxiv
High-density probes record from thousands of neurons simultaneously, yet resolving single-neuron identity remains an ill-posed inverse problem. While detailed simulations precisely characterize the biophysical forward process, their utility for inter... read more 

Closed-loop control of in vitro neuronal activity using reinforcement learning after in silico pre-training

bioRxiv
Controlling specific neuronal dynamics with electrical stimulation is critical for therapeutic neuromodulation, yet deriving optimal control policies remains challenging due to the complex and non-stationary nature of biological neuronal networks. Wh... read more 

Ensembles of in silico structures enable T cell peptide-MHC binding prediction

bioRxiv
Adaptive immunity relies on T-cell receptor (TCR) recognition of peptides presented by the major histocompatibility complex (pMHC). Accurate prediction of TCR:pMHC binding pairs from sequence data remains a longstanding challenge in computational imm... read more 

GDTR: Layer-wise Settling Depth Reveals Biological Grammar in Genomic Foundation Models

bioRxiv
Genomic foundation models capture sequence regularities, yet existing interpretability tools rarely ask where in the layer stack a biological grammar becomes stable. We introduce GDTR, the Genomic Deep-Thinking Ratio, a training-free residual-stream ... read more 

Factorization and spatial encodings: a hypothesis about the foundations of the genomic code

bioRxiv
The genomic mechanisms that efficiently encode the initial architecture and synaptic connectivity of neural circuits remain poorly understood. We hypothesise that two primary mechanisms -- spatial encoding and factorisation -- enable a limited genome... read more 

Interpretable Peripheral Blood Cell Classification via Vision-Language Concept Bottleneck and Soft Decision Tree

bioRxiv
Motivation: Deep learning classifiers for medical image analysis typically function as black boxes, disclosing neither the image features underlying their predictions nor the reasoning by which individual decisions are reached. Peripheral blood cell ... read more