Artificial Intelligence Medical Compendium

Signal transduction is a complex system governing cellular behavior across physiological and pathological contexts. Advances in systems biology have positioned cell modeling as a powerful tool for reconstructing the dynamics and trajectories of disea... read more 

BACKGROUND: Cervical spine (c-spine) injuries can lead to significant disability and mortality. Although stabilization is the primary management for suspected c-spine injuries, lapses in stabilization frequently occur during trauma resuscitation. To ... read more 

With the advancement of generative artificial intelligence, previous studies have achieved the task of generating aesthetic images from hand-drawn sketches, fulfilling the public's needs for drawing. However, these methods are limited to static image... read more 

An effective leak detection system is critical for maintaining urban infrastructure operations. Machine learning-based leak detection systems represent a significant advancement, enhancing detection accuracy and efficiency. However, their performance... read more 

It is shown that the activity of a whole-brain model based on a Hopfield recurrent neural network exhibits a scaling regime whose exponents depend on both the number of parcels and the decay length of the coupling strength. This scaling regime recove... read more 

Molecular diagnostics have transformed clinical microbiology by enabling rapid, accurate, and highly sensitive detection of infectious agents, significantly improving patient outcomes and public health response. Over the past decade, advances in poly... read more 

Tasks in the real world are almost always partially observable, which does not satisfy the Markov property required by the reinforcement learning paradigm. Recent approaches attempt to approximate full state representations using temporal mechanisms ... read more 

OBJECTIVES: Accurate localization of anatomical landmarks on the mandible is crucial for maxillofacial surgery and orthodontic treatment planning. This study aims to develop and validate a novel multi-view deep learning framework to enhance the accur... read more 

We conducted a retrospective study to evaluate the performance of 5 large language models in detecting surgical site infections (SSIs), compared with manual surveillance by an infection preventionist nurse. Forty abdominal surgery patients were inclu... read more 

The analysis of volatile organic compounds (VOCs) by gas chromatography-ion mobility spectrometry (GC-IMS) offers high sensitivity, rapid analysis, and minimal sample preparation, but its second-order data complicate peak alignment, feature extractio... read more