AIMC Topic: Humans

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Automated Data Quality Control in FDOPA brain PET Imaging using Deep Learning.

Computer methods and programs in biomedicine
INTRODUCTION: With biomedical imaging research increasingly using large datasets, it becomes critical to find operator-free methods to quality control the data collected and the associated analysis. Attempts to use artificial intelligence (AI) to per...

Regulating AI in Health Care: The Challenges of Informed User Engagement.

The Hastings Center report
The European Union's proposed Artificial Intelligence Act is a welcome, ambitious law on the regulation of AI systems. However, it underestimates the responsibilities placed on individual users to navigate the implementation of AI. Focusing on the he...

Technical Note: Dose prediction for head and neck radiotherapy using a three-dimensional dense dilated U-net architecture.

Medical physics
PURPOSE: Radiation therapy treatment planning is a time-consuming and iterative manual process. Consequently, plan quality varies greatly between and within institutions. Artificial intelligence shows great promise in improving plan quality and reduc...

Technical Note: Dose prediction for radiation therapy using feature-based losses and One Cycle Learning.

Medical physics
PURPOSE: To present the technical details of the runner-up model in the open knowledge-based planning (OpenKBP) challenge for the dose-volume histogram (DVH) stream. The model was designed to ensure simple and reproducible training, without the neces...

Initial experience with a suprapubic single-port robotic right hemicolectomy in patients with colon cancer.

Techniques in coloproctology
BACKGROUND: We developed a novel suprapubic single-port robotic right hemicolectomy (spRHC) procedure for patients with right colon cancer using a da Vinci SP Surgical System. The aim of this study was to determine the safety and feasibility of this ...

Characterizing the Clinical Features and Atrophy Patterns of -Related Frontotemporal Dementia With Disease Progression Modeling.

Neurology
BACKGROUND AND OBJECTIVE: Mutations in the gene cause frontotemporal dementia (FTD). Most previous studies investigating the neuroanatomical signature of mutations have grouped all different mutations together and shown an association with focal at...

Choquet fuzzy integral-based classifier ensemble technique for COVID-19 detection.

Computers in biology and medicine
The COVID-19 outbreak has resulted in a global pandemic and led to more than a million deaths to date. COVID-19 early detection is essential for its mitigation by controlling its spread from infected patients in communities through quarantine. Althou...

COVID-19 deep classification network based on convolution and deconvolution local enhancement.

Computers in biology and medicine
Computer Tomography (CT) detection can effectively overcome the problems of traditional detection of Corona Virus Disease 2019 (COVID-19), such as lagging detection results and wrong diagnosis results, which lead to the increase of disease infection ...

Tip estimation approach for concentric tube robots using 2D ultrasound images and kinematic model.

Medical & biological engineering & computing
Concentric tube robot (CTR) is an efficient approach for minimally invasive surgery (MIS) and diagnosis due to its small size and high dexterity. To manipulate the robot accurately and safely inside the human body, tip position and shape information ...