Artificial Intelligence Medical Compendium

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

Showing 38,331 to 38,340 of 223,469 articles

Dual human-AI thematic analysis of a qualitative interview following cognitive rehabilitation in chronic severe traumatic brain injury.

Neuropsychological rehabilitation
Qualitative research offers important insight into lived experiences of individuals with traumatic brain injury (TBI), particularly in the chronic phase where standardized measures may not fully capture subjective adaptation. This methodological case... read more 

Artificial intelligence (AI) for virtual reality exposure therapy (VRET): A systematic review.

Translational psychiatry
OBJECTIVE: This systematic review maps what is known about using artificial intelligence (AI) to tailor virtual reality exposure therapy (VRET) to better meet the needs of patients and therapists. BACKGROUND: Exposure therapy is a well-supported trea... read more 

Leveraging weighted embedding and Transformer architecture to improve phenotype prediction of complex traits for crops.

Nature communications
Understanding the relationship between genomic variation and phenotype is fundamental to deciphering the genetic architecture underlying complex traits. Yet, existing statistical models struggle to balance massive genomic datasets with biological int... read more 

An AI-ready remote sensing dataset for high-resolution forest disturbance mapping.

Scientific data
Europe's forests face increasing threats from natural disturbances such as insect outbreaks, pathogens, and windthrow, often aggravated by extreme weather events and followed by subsequent salvage logging. Monitoring these events at high spatial deta... read more 

Prediction of acute kidney injury in patients with acute pesticide poisoning using the PKIP score.

Scientific reports
Acute pesticide poisoning frequently leads to acute kidney injury (AKI), which is strongly associated with increased mortality. However, predictive research in this area remains limited, and criteria for AKI detection in patients with pesticide poiso... read more 

SODNet: a scale-oriented detection network for efficient UAV-based sewage outfall detection.

Scientific reports
Accurate identification of river sewage outfalls is crucial for effective water pollution control. Unmanned Aerial Vehicles (UAVs), with their high mobility and wide coverage, have become a vital tool for this monitoring task. However, this applicati... read more 

Design and optimization of highly sensitive and tunable nanostructure biosensor for heavy metal detection using machine learning.

Discover nano
The third biggest concentration of metallic ions is traces of the element copper (Cu2+), which is crucial to all living creatures and plays a key role in several operations. However, deficiency or excessive copper ions may trigger a wide range of dis... read more