AIMC Topic: Artificial Intelligence

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Artificial intelligence for dementia-Applied models and digital health.

Alzheimer's & dementia : the journal of the Alzheimer's Association
INTRODUCTION: The use of applied modeling in dementia risk prediction, diagnosis, and prognostics will have substantial public health benefits, particularly as "deep phenotyping" cohorts with multi-omics health data become available.

Novel Machine Learning Algorithms for Prediction of Treatment Decisions in Adult Patients With Class III Malocclusion.

Journal of oral and maxillofacial surgery : official journal of the American Association of Oral and Maxillofacial Surgeons
BACKGROUND: Management of Class III (Cl III) dentoskeletal phenotype is often expert-driven.

Photothermal Conversion of Hydrogel-Based Biomaterial.

Chemical record (New York, N.Y.)
Traditional energy from fossil fuels like petroleum and coal is limited and contributes to global environmental pollution and climate change. Developing sustainable and eco-friendly energy is crucial for addressing significant challenges such as clim...

Hardware deployment of deep learning model for classification of breast carcinoma from digital mammogram images.

Medical & biological engineering & computing
Cancer is an illness that instils fear in many individuals throughout the world due to its lethal nature. However, in most situations, cancer may be cured if detected early and treated properly. Computer-aided diagnosis is gaining traction because it...

Rapid eye movement sleep loss associated cytomorphometric changes and neurodegeneration.

Sleep medicine
Rapid eye movement sleep (REMS) is essential for leading normal healthy living at least in higher-order mammals, including humans. In this review, we briefly survey the available literature for evidence linking cytomorphometric changes in the brain d...

Artificial intelligence-based radiomics in bone tumors: Technical advances and clinical application.

Seminars in cancer biology
Radiomics is the extraction of predefined mathematic features from medical images for predicting variables of clinical interest. Recent research has demonstrated that radiomics can be processed by artificial intelligence algorithms to reveal complex ...

Unmanned Aerial Systems and Deep Learning for Safety and Health Activity Monitoring on Construction Sites.

Sensors (Basel, Switzerland)
Construction is a highly hazardous industry typified by several complex features in dynamic work environments that have the possibility of causing harm or ill health to construction workers. The constant monitoring of workers' unsafe behaviors and wo...

Applications of Artificial Intelligence in Nursing Care: A Systematic Review.

Journal of nursing management
AIM: To synthesise the available evidence on the applicability of artificial intelligence in nursing care.

Data-driven decisions about individual patients: The case of medical AI.

Journal of evaluation in clinical practice
There are high hopes that clinical decisions can be improved by adopting algorithms trained to estimate the likelihood that a patient suffers a condition C. Introducing work on the epistemic value of purely statistical evidence in legal epistemology ...