Artificial Intelligence Medical Compendium

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

Showing 53,851 to 53,860 of 225,930 articles

Atomic resolution ensembles of intrinsically disordered proteins with Alphafold.

Nature communications
Intrinsically disordered proteins are ubiquitous in biological systems and play essential roles in a wide range of biological processes and diseases. Despite recent advances in high-resolution structural biology techniques and breakthroughs in deep l... read more 

Strategies for enhancing protein solubility: methods, applications, and prospects.

NPJ science of food
Controlling protein solubility is critical yet challenging for food and pharmaceutical applications. This review dissects the molecular and environmental determinants governing solubility behavior. It integrates traditional modification strategies wi... read more 

An open benchmark dataset for machine learning and intelligent trajectory optimization in fixed-wing unmanned aerial systems.

Scientific data
This paper presents an open-access telemetry dataset designed to support research and training in intelligent fixed-wing unmanned aerial systems. The dataset contains 240 fully annotated autonomous missions flown outdoors over repeatable, waypoint-ba... read more 

BRISC: Annotated Dataset for Brain Tumor Segmentation and Classification.

Scientific data
Accurate segmentation and classification of brain tumors from Magnetic Resonance Imaging (MRI) remain key challenges in medical image analysis, primarily due to the lack of high-quality, balanced, and diverse datasets with expert annotations. In this... read more 

Diagnosis of disorders of consciousness using nonlinear feature derived EEG topographic maps via deep learning.

Scientific reports
This study explored the value of nonlinear features extracted from EEG signals to facilitate the assessment of patients with disorders of consciousness (DOC) with limited communication capacity. We utilized a dataset comprising 104 participants, 56 w... read more 

A deep learning approach to emotionally intelligent AI for improved learning outcomes.

Scientific reports
Artificial intelligence-driven educational systems have largely prioritised cognitive adaptation, often neglecting the critical role of learners' emotional states in shaping engagement and learning outcomes. To address this limitation, this study pro... read more 

Assessment of cognitive load through photoplethysmography and bioimpedance responses during mental arithmetic tasks.

Scientific reports
Accurate assessment of cognitive load is vital in cognitive research and human-machine interaction. This study investigates a multimodal approach for classifying graded cognitive load levels using cardiovascular signals derived from photoplethysmogra... read more