Artificial Intelligence Medical Compendium

The rapid integration of Artificial Intelligence (AI) into healthcare promises significant benefits but also raises unprecedented ethical, clinical, and legal challenges. Current medico-legal frameworks, primarily designed for human decision-making, ... read more 

Restricted kernel machines (RKMs) have significantly advanced machine learning by integrating kernel functions with least squares support vector machines (LSSVM), adopting an energy function akin to restricted Boltzmann machines (RBM) to enhance gene... read more 

It is a critical challenge to realize the control of dissolved oxygen (DO) in uncertain aeration process, due to the inherent nonlinearity, dynamic and unknown disturbances in wastewater treatment process (WWTP). To address this issue, the incrementa... read more 

Magnetic resonance imaging (MRI) is an essential examination for ovarian cancer, in which ovarian tumor segmentation is crucial for personalized diagnosis and treatment planning. However, ovarian tumors often present with mixed cystic and solid regio... read more 

OBJECTIVE: This study aimed to evaluate the diagnostic performance of ChatGPT in identifying acute shoulder dislocations and to compare its accuracy with that of orthopedic specialists and emergency medicine residents. METHODS: A total of 250 anterop... read more 

Electrical Impedance Tomography (EIT) is a promising noninvasive imaging technique that reconstructs the spatial conductivity distribution from boundary voltage measurements. However, it poses a highly nonlinear and ill-posed inverse problem. Traditi... read more 

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The cognitively-intact oldest-old (85 +) may be the most-resilient members of their birth cohort; due to survivorship effects (e.g., depletion of susceptibles), risk factors associated with brain aging biomarkers in younger samples may not generalize... read more 

Allostery is the phenomenon whereby a binding event or covalent modification at one site in a protein modulates function at a distal site, thus changing a protein's functional state. As such, it is a ubiquitous aspect of protein functional regulation... read more 

STUDY DESIGN: Retrospective case-control study. OBJECTIVES: This study aimed to develop and preliminarily validate a machine learning (ML) model for predicting the likelihood of early fusion (EF) after anterior cervical discectomy and fusion (ACDF) a... read more