AIMC Topic: Humans

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Self-normalization for a 1 mmresolution clinical PET system using deep learning.

Physics in medicine and biology
This work proposes, for the first time, an image-based end-to-end self-normalization framework for positron emission tomography (PET) using conditional generative adversarial networks (cGANs).We evaluated different approaches by exploring each of the...

Hierarchical multi-level dynamic hyperparameter deformable image registration with convolutional neural network.

Physics in medicine and biology
. To enable the registration network to be trained only once, achieving fast regularization hyperparameter selection during the inference phase, and to improve registration accuracy and deformation field regularity.. Hyperparameter tuning is an essen...

Leadership for AI Transformation in Health Care Organization: Scoping Review.

Journal of medical Internet research
BACKGROUND: The leaders of health care organizations are grappling with rising expenses and surging demands for health services. In response, they are increasingly embracing artificial intelligence (AI) technologies to improve patient care delivery, ...

Automatic detection of cardiac conditions from photos of electrocardiogram captured by smartphones.

Heart (British Cardiac Society)
BACKGROUND: Researchers have developed machine learning-based ECG diagnostic algorithms that match or even surpass cardiologist level of performance. However, most of them cannot be used in real-world, as older generation ECG machines do not permit i...

Automatic segmentation of high-risk clinical target volume and organs at risk in brachytherapy of cervical cancer with a convolutional neural network.

Cancer radiotherapie : journal de la Societe francaise de radiotherapie oncologique
PURPOSE: This study aimed to design an autodelineation model based on convolutional neural networks for generating high-risk clinical target volumes and organs at risk in image-guided adaptive brachytherapy for cervical cancer.

Artificial intelligence applications in the football codes: A systematic review.

Journal of sports sciences
Artificial Intelligence (AI) is increasingly being adopted across many domains such as transport, healthcare, defence and sport, with football codes no exception. Though there is a range of potential benefits of AI, concern has also been expressed re...

Revolutionizing adjuvant development: harnessing AI for next-generation cancer vaccines.

Frontiers in immunology
With the COVID-19 pandemic, the importance of vaccines has been widely recognized and has led to increased research and development efforts. Vaccines also play a crucial role in cancer treatment by activating the immune system to target and destroy c...

Identification of medication-related fall risk in adults and older adults admitted to hospital: A machine learning approach.

Geriatric nursing (New York, N.Y.)
The study aimed to develop and validate, through machine learning, a fall risk prediction model related to prescribed medications specific to adults and older adults admitted to hospital. A case-control study was carried out in a tertiary hospital, i...