AIMC Topic: Humans

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Contribution of whole slide imaging-based deep learning in the assessment of intraoperative and postoperative sections in neuropathology.

Brain pathology (Zurich, Switzerland)
The pathological diagnosis of intracranial germinoma (IG), oligodendroglioma, and low-grade astrocytoma on intraoperative frozen section (IFS) and hematoxylin-eosin (HE)-staining section directly determines patients' treatment options, but it is a di...

Structure and function in artificial, zebrafish and human neural networks.

Physics of life reviews
Network science provides a set of tools for the characterization of the structure and functional behavior of complex systems. Yet a major problem is to quantify how the structural domain is related to the dynamical one. In other words, how the divers...

Increasing acceptance of medical AI: The role of medical staff participation in AI development.

International journal of medical informatics
BACKGROUND: Medical artificial intelligence (AI) in varying degrees has exerted significant influence on many medical fields, especially in the midst of the COVID-19 pandemic. However, little is known regarding how to address the reluctance of medica...

Effect of the number and distribution of fiducial markers on the accuracy of robot-guided implant surgery in edentulous mandibular arches: An in vitro study.

Journal of dentistry
OBJECTIVES: Robot-guided implant placement based on the screw marker-assisted registration technique has been applied in dentistry. This study aimed to identify the optimal number and distribution of fiducial markers for robot-guided implant placemen...

Head and neck reconstruction in the vessel depleted neck using robot-assisted harvesting of the internal mammary vessels.

The British journal of oral & maxillofacial surgery
We report a novel technique of robot-assisted harvesting of the internal mammary vessels to provide effective recipient vessels in a patient with bilateral vessel depleted neck (VDN). A 44-year-old with a Notani grade III osteoradionecrosis (ORN) of ...

An enhanced Runge Kutta boosted machine learning framework for medical diagnosis.

Computers in biology and medicine
With the development and maturity of machine learning methods, medical diagnosis aided with machine learning methods has become a popular method to assist doctors in diagnosing and treating patients. However, machine learning methods are greatly affe...

[Robotic production of injectable anticancer drugs in hospital pharmacies].

Bulletin du cancer
INTRODUCTION: Following the 2005 decree on securing the medicine supply chain, the production of "chemotherapies", anticancer drugs (cytotoxic, cytostatic, immunotherapy), was centralised within hospital pharmacies. To cope with increasingly growing ...

Adrenal lesion classification with abdomen caps and the effect of ROI size.

Physical and engineering sciences in medicine
Accurate classification of adrenal lesions on magnetic resonance (MR) images are very important for diagnosis and treatment planning. The detection and classification of lesions in medical imaging heavily rely on several key factors, including the sp...

LAVA HyperSense and deep-learning reconstruction for near-isotropic (3D) enhanced magnetic resonance enterography in patients with Crohn's disease: utility in noise reduction and image quality improvement.

Diagnostic and interventional radiology (Ankara, Turkey)
PURPOSE: This study aimed to compare near-isotropic contrast-enhanced T1-weighted (CE-T1W) magnetic resonance enterography (MRE) images reconstructed with vendor-supplied deep-learning reconstruction (DLR) with those reconstructed conventionally in t...