AI Medical Compendium Journal:
Advances in experimental medicine and biology

Showing 81 to 90 of 105 articles

Imaging Connectomics and the Understanding of Brain Diseases.

Advances in experimental medicine and biology
Neuroimaging-based personalized medicine is emerging to characterize brain disorders and their evolution at the patient level. In this chapter, we present the most classic methods used to infer large-scale brain connectivity based on functional MRI. ...

Machine Learning in Neural Networks.

Advances in experimental medicine and biology
Evidence now suggests that precision psychiatry is becoming a cornerstone of medical practices by providing the patient of psychiatric disorders with the right medication at the right dose at the right time. In light of recent advances in neuroimagin...

Artificial Intelligence in Psychiatry.

Advances in experimental medicine and biology
Scientific findings over the past few decades have shaped our understanding of the underlying neurobiology associated with psychiatric illnesses. However, despite significant advances in research, there is widespread disappointment with the overall p...

Potential Risk of Intelligent Technologies in Clinical Orthopedics.

Advances in experimental medicine and biology
Nowadays, the intelligent technologies are getting more and more attention, and the surgical robot is one of the most typical representatives. Orthopedic robots have revolutionized orthopedic surgery, but there are also risks. The risks can be catego...

Intelligent Control for Human-Robot Cooperation in Orthopedics Surgery.

Advances in experimental medicine and biology
Cooperation between surgeon and robot is one of the key technologies that limit the robot to be widely used in orthopedic clinics. In this study, the evolution of human-robot cooperation methods and the control strategies for typical human-robot coop...

Muscle Segmentation for Orthopedic Interventions.

Advances in experimental medicine and biology
Skeletal muscle segmentation techniques can help orthopedic interventions in various scenes. In this chapter, we describe two methods of skeletal muscle segmentation on 3D CT images. The first method is based on a computational anatomical model, and ...

Deep Learning-Based Automatic Segmentation of the Proximal Femur from MR Images.

Advances in experimental medicine and biology
This chapter addresses the problem of segmentation of proximal femur in 3D MR images. We propose a deeply supervised 3D U-net-like fully convolutional network for segmentation of proximal femur in 3D MR images. After training, our network can directl...

CAMISS Concept and Its Clinical Application.

Advances in experimental medicine and biology
This chapter intends to provide an overview of computer-assisted minimally invasive spine surgery (CAMISS) and its clinical application. Since minimally invasive spine surgery was first brought out, the concept of decreasing the damage to patient was...

Computer-Aided Orthopaedic Surgery: State-of-the-Art and Future Perspectives.

Advances in experimental medicine and biology
Introduced more than two decades ago, computer-aided orthopaedic surgery (CAOS) has emerged as a new and independent area, due to the importance of treatment of musculoskeletal diseases in orthopaedics and traumatology, increasing availability of dif...

ABroAD: A Machine Learning Based Approach to Detect Broadband NIRS Artefacts.

Advances in experimental medicine and biology
Artefacts are a common and unwanted aspect of any measurement process, especially in a clinical environment, with multiple causes such as environmental changes or motion. In near-infrared spectroscopy (NIRS), there are several existing methods that c...