AI Medical Compendium Journal:
Advances in experimental medicine and biology

Showing 21 to 30 of 105 articles

Artificial Intelligence Methods.

Advances in experimental medicine and biology
Artificial intelligence (AI) is at the forefront of driving pivotal changes across diverse fields. AI holds the potential to make profound impacts on addressing contemporary healthcare challenges. This chapter aims to provide an overview of AI method...

Declaration of Computational Neurosurgery.

Advances in experimental medicine and biology
Computational neurosurgery is a novel and disruptive field where artificial intelligence and computational modeling are used to improve the diagnosis, treatment, and prognosis of patients affected by diseases of neurosurgical relevance. The field aim...

Computational Neurosurgery: Foundation.

Advances in experimental medicine and biology
Computational neurosurgery is a novel translational field where computational modeling and artificial intelligence are used to improve diagnosis, treatment, and prognosis of patients affected by diseases of neurosurgical relevance. By laying the foun...

PSAA-nnUNet: An Efficient Method for CT Carotid Artery Image Segmentation.

Advances in experimental medicine and biology
Carotid artery (CA) stenosis (CAS) constitutes a significant factor to ischaemic cerebrovascular events which exhibiting no overt symptoms in the early stages. Early detection of CAS can prevent ischaemic stroke and improve patient prognosis. In this...

Importance of Serum Albumin in Deep Learning-Based Prediction of Cognitive Function Data in the Aged Using a Basic Blood Test.

Advances in experimental medicine and biology
BACKGROUND: Recently, a method using deep learning has been developed to estimate the risk of developing dementia. This method uses general blood test data from routine health examinations that reveal lifestyle-related diseases, which can lead to vas...

Navigating the Intersection of Technology and Depression Precision Medicine.

Advances in experimental medicine and biology
This chapter primarily focuses on the progress in depression precision medicine with specific emphasis on the integrative approaches that include artificial intelligence and other data, tools, and technologies. After the description of the concept of...

The New Emerging Treatment Choice for Major Depressive Disorders: Digital Therapeutics.

Advances in experimental medicine and biology
The chapter provides an in-depth analysis of digital therapeutics (DTx) as a revolutionary approach to managing major depressive disorder (MDD). It discusses the evolution and definition of DTx, their application across various medical fields, regula...

Neural Sequences and the Encoding of Time.

Advances in experimental medicine and biology
Converging experimental and computational evidence indicate that on the scale of seconds the brain encodes time through changing patterns of neural activity. Experimentally, two general forms of neural dynamic regimes that can encode time have been o...

Image Reconstruction Using Deep Learning for Near-Infrared Optical Tomography: Generalization Assessment.

Advances in experimental medicine and biology
Time is one of the most critical factors in preventing brain lesions due to hypoxic ischemia in preterm infants. Since early detection of low oxygenation is vital and the time window for therapy is narrow, near-infrared optical tomography (NIROT) mus...

Clinical Importance of 3D Volography in Breast Imaging.

Advances in experimental medicine and biology
The clinical applications of the volography algorithm and concomitant refraction-corrected reflection algorithm as described in Chap. 10 are discussed here. Comparisons with an H&E stained image, discussion of glandular tissue visibility, related bio...