Artificial Intelligence Medical Compendium

Rett syndrome (RTT) is a rare neurodevelopmental disorder characterised by abnormal cortical activity, which can be captured using electroencephalography (EEG). Although machine learning (ML) has shown promise for diagnosing several neurological cond... read more 

Understanding the genetic changes that drove the evolution of human-specific traits is a central goal in biology. Changes in gene expression are thought to be a major source of phenotypic innovations, but identifying the underlying changes in cis-reg... read more 

This study is a multi-stage method for accurately segmenting and classifying breast tissue in thermographic images, with a specific focus on lateral views captured at multiple angles (30{degrees}, 45{degrees}, and 90{degrees}). Our algorithm is a hyb... read more 

This study is a multi-stage method for accurately segmenting and classifying breast tissue in thermographic images, with a specific focus on lateral views captured at multiple angles (30{degrees}, 45{degrees}, and 90{degrees}). Our algorithm is a hyb... read more 

This study is a multi-stage method for accurately segmenting and classifying breast tissue in thermographic images, with a specific focus on lateral views captured at multiple angles (30{degrees}, 45{degrees}, and 90{degrees}). Our algorithm is a hyb... read more 

This study is a multi-stage method for accurately segmenting and classifying breast tissue in thermographic images, with a specific focus on lateral views captured at multiple angles (30{degrees}, 45{degrees}, and 90{degrees}). Our algorithm is a hyb... read more 

This study is a multi-stage method for accurately segmenting and classifying breast tissue in thermographic images, with a specific focus on lateral views captured at multiple angles (30{degrees}, 45{degrees}, and 90{degrees}). Our algorithm is a hyb... read more 

This study is a multi-stage method for accurately segmenting and classifying breast tissue in thermographic images, with a specific focus on lateral views captured at multiple angles (30{degrees}, 45{degrees}, and 90{degrees}). Our algorithm is a hyb... read more 

This study is a multi-stage method for accurately segmenting and classifying breast tissue in thermographic images, with a specific focus on lateral views captured at multiple angles (30{degrees}, 45{degrees}, and 90{degrees}). Our algorithm is a hyb... read more 

This study is a multi-stage method for accurately segmenting and classifying breast tissue in thermographic images, with a specific focus on lateral views captured at multiple angles (30{degrees}, 45{degrees}, and 90{degrees}). Our algorithm is a hyb... read more