Artificial Intelligence Medical Compendium

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

Showing 20,821 to 20,830 of 216,088 articles

DynGhost: Temporally-Modelled Transformer for Dynamic Ghost Imaging with Quantum Detectors

arXiv
Ghost imaging reconstructs spatial information from a single-pixel bucket detector by correlating structured illumination patterns with scalar intensity measurements. While deep learning approaches have achieved promising results on static scenes, tw... read more 

DetRefiner: Model-Agnostic Detection Refinement with Feature Fusion Transformer

arXiv
Open-vocabulary object detection (OVOD) aims to detect both seen and unseen categories, yet existing methods often struggle to generalize to novel objects due to limited integration of global and local contextual cues. We propose DetRefiner, a simple... read more 

Empty SPACE: Cross-Attention Sparsity for Concept Erasure in Diffusion Models

arXiv
Erasing specific concepts from text-to-image diffusion models is essential for avoiding the generation of copyrighted and explicit content. Closed-form concept erasure methods offer a fast alternative to backpropagation-based techniques, but they bec... read more 

Combating Student Cheating in Pharmacy Schools in a Post-Pandemic World.

American journal of pharmaceutical education
Concerns regarding academic dishonesty are a persistent problem in higher education, including health professions and pharmacy education. Students may respond to academic pressures and new policy or procedure restrictions with innovative ways to gain... read more 

A straightforward framework to harmonize computational pathology.

Journal of pathology informatics
Computational pathology datasets are commonly described using inconsistent and locally defined terminology, often conflating biological units (patients, specimens), lab preparations (blocks, slides), and derived digital data (whole-slide images (WSIs... read more 

EJHF expert consensus statement on the diagnosis and management of hypertrophic cardiomyopathy.

European journal of heart failure
Hypertrophic cardiomyopathy (HCM) is the most prevalent genetic cardiac disease and a leading cause of heart failure, arrhythmia, and sudden cardiac death in both young and older adults. This consensus document was developed by a multidisciplinary pa... read more 

Multi-dimensional MRI representation and privileged learning approaches to functional outcome prediction for ischemic stroke patients.

NPJ digital medicine
Accurate prediction of long-term functional outcomes for stroke patients remains a clinical challenge, despite advances in diagnostics and treatments. Most machine learning (ML) and artificial intelligence (AI) outcome prediction models lack robust s... read more 

Rethinking scale in ophthalmic artificial intelligence: from bigger models to smarter clinical reasoning.

NPJ digital medicine
Recent advances in ophthalmic AI have improved benchmark performance, yet clinical trust remains limited. We argue that progress should move beyond data and model scaling toward trustworthy, skill-efficient systems that integrate multimodal evidence,... read more 

A call for clarity: a unified checklist for reporting use of large language models in writing scientific manuscripts.

Research integrity and peer review
The rapid integration of generative artificial intelligence (Gen AI) into academic writing has outpaced the establishment of consistent norms for responsible and transparent disclosure. Leading organizations including the International Committee of M... read more 

Precision theranostics in oncology: integrating antibody-drug conjugates, radioimmunotherapy, and immuno‑PET for adaptive cancer care.

Discover oncology
The century-old vision of a "magic bullet" in oncology is being realized through the paradigm of precision theranostics, which formally integrates targeted delivery, cytotoxic action, and non-invasive imaging into a unified clinical feedback loop. Th... read more