Artificial Intelligence Medical Compendium

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

Showing 51,191 to 51,200 of 225,062 articles

Free Lunch for Stabilizing Rectified Flow Inversion

arXiv
Rectified-Flow (RF)-based generative models have recently emerged as strong alternatives to traditional diffusion models, demonstrating state-of-the-art performance across various tasks. By learning a continuous velocity field that transforms simple ... read more 

Quantum walk inspired JPEG compression of images

arXiv
This work proposes a quantum inspired adaptive quantization framework that enhances the classical JPEG compression by introducing a learned, optimized Qtable derived using a Quantum Walk Inspired Optimization (QWIO) search strategy. The optimizer sea... read more 

Artificial intelligence-based waste detection in robotic surgery: a pilot validation study of computer vision technology.

Journal of robotic surgery
Cost containment remains critical for widespread adoption of robotic surgery, yet operating room waste of single-use supplies represents a significant source of unnecessary expenditure that is often overlooked. Traditional waste tracking relies on ti... read more 

Multi-criteria evaluation of clinical decision-making performance in spinal neurosurgery and physical therapy scenarios: A comparative analysis of artificial intelligence models.

European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society
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Early detection of dust accumulation on solar energy modules using computer vision and machine learning techniques.

Scientific reports
This paper presents an innovative AI-driven solution for the early detection of dust accumulation on solar energy modules, leveraging computer vision and machine learning techniques. The study identifies two significant gaps in existing literature: t... read more 

Leveraging natural language processing and machine learning to identify chronic conditions from primary care electronic medical records.

Scientific reports
Primary care electronic medical records (EMRs) contain rich data that can support proactive identification of chronic health conditions. However, leveraging unstructured EMR data requires the use of novel computational methods. We applied natural lan... read more 

Multimodal MRI reveals hypothalamic structural-functional alterations associated with bone mineral density loss in postmenopausal women.

Brain imaging and behavior
Emerging evidence implicates central nervous system dysregulation in the pathogenesis of osteoporosis. However, the role of hypothalamic subregions - a key central hub for homeostasis - in human bone health remains poorly understood. This study aimed... read more 

Performance of adult-trained artificial intelligence models in paediatric imaging-a scoping review.

European radiology
OBJECTIVES: This scoping review aims to evaluate the performance of artificial intelligence (AI) models designed for adults when applied to paediatric imaging datasets without additional adaptations, and to quantify performance degradation across dif... read more 

A deep residual 1D-CNN with self-attention for fraud transaction detection in virtual economies.

Scientific reports
As virtual economies in the metaverse continue to grow, the need for real-time risk assessment in financial transactions has become critical. Traditional fraud detection systems often face challenges in keeping pace with the complexity and speed of m... read more