Artificial Intelligence Medical Compendium

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

Showing 65,811 to 65,820 of 232,257 articles

Latest research

Temporal local attention with adaptive decoding: Enhancing spiking neural networks for temporal computing applications.

Neural networks : the official journal of the International Neural Network Society
The brain-inspired spiking neural networks (SNNs) are considered to have great potential in complex learning due to their rich neural dynamics and high energy efficiency. Their unique mechanisms are naturally suited for performing temporal computing ... read more 

A novel backpropagation algorithm based on negated kurtosis loss for training shallow, convolutional, and deep neural networks.

Neural networks : the official journal of the International Neural Network Society
The conventional backpropagation (BP) algorithm remains the most widely used approach for training neural networks (NNs), including shallow NN (SNN), convolutional NN (CNN), deep NN (DNN), and deep CNN (DCNN), due to its easy implementation and well-... read more 

Identification potential of cognitive-motor dual-task gait in frailty via machine learning model.

Gait & posture
BACKGROUND: The early diagnosis and intervention of frailty play a crucial role in enhancing the quality of life for elderly individuals in their later years. Currently, the identification of frailty relies on various manual assessment scales, which ... read more 

Sleep apnoea and its consequences: from animal models to precision medicine.

Sleep medicine
A European Respiratory Society research seminar entitled "Sleep Apnoea and Its Consequences: From Animal Models to Precision Medicine" was held in January 2024 in Lisbon, Portugal. It provided an in-depth analysis of the current landscape and future ... read more 

Dynamic protein structures in solution: decoding the amide I band with 2D-IR spectral libraries and machine learning.

Chemical science
The dynamic three-dimensional structures of proteins dictate their function, but accessing structures in solution at physiological temperatures is challenging. Ultrafast 2D-IR spectroscopy of the protein amide I band produces a spectral fingerprint t... read more 

Workflow-embedded AI as a cognitive scaffold: A randomized trial on knowledge retention and diagnostic competency in undergraduate radiology education.

European journal of radiology open
BACKGROUND: Traditional didactic methods in medical imaging education, predominantly reliant on static images (non-augmented, traditional PACS workflow that requires manual, unguided search and interpretation), consistently fail to bridge the theory-... read more 

Artificial Intelligence for Diagnostic Pathology in Nephrology.

Journal of the American Society of Nephrology : JASN
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Incorporating patient history into the insulin sensitivity prediction in intensive care by feedforward neural network models.

International journal of medical informatics
BACKGROUND AND OBJECTIVE: Insulin sensitivity prediction is crucial for model-based treatment in Intensive Care Unit patients, particularly those with hyperglycemia. However, predicting insulin sensitivity is challenging due to inter- and intra-patie... read more 

AI-optimized sanguinarine derivatives inhibiting sortase A for combating AmpC β-lactamase resistance in Enterobacter cloacae: An integrated computational approach.

Computational biology and chemistry
The antimicrobial resistance is a serious health problem worldwide, and one of the causes of multidrug resistance is AmpC β-lactamase-producing Enterobacter cloacae. This work focused on analyzing the antibacterial properties of the plant-derived alk... read more