Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 52,771 to 52,780 of 225,341 articles

Development and validation of interpretable machine learning models for predicting long-term functional outcomes in elderly patients with aneurysmal subarachnoid hemorrhage.

Journal of clinical neuroscience : official journal of the Neurosurgical Society of Australasia
BACKGROUND: Accurate prognostication in elderly patients with aneurysmal subarachnoid hemorrhage (aSAH) remains challenging due to high morbidity and mortality. This study aimed to develop and externally validate interpretable machine learning (ML) m... read more 

Advances in carbon capture, conversion, and utilization: A review of sustainable chemical production pathways.

Journal of environmental management
Rising carbon emissions have intensified global climate change, creating an urgent need for innovative solutions that generate value while also reducing emissions. Carbon capture, conversion, and utilization (CCCU) is a transformational technique tha... read more 

Empowered by AI: exploring the link between literacy, self-efficacy, and career expectations.

Acta psychologica
Artificial intelligence is reshaping higher education, yet little is known about how students' AI related beliefs connect to their career expectations in emerging economy systems. This study examines links between AI literacy, perceived usefulness of... read more 

The impact of AIGC design features on user creativity: The mediating roles of cognitive flexibility and cognitive persistence.

Acta psychologica
With the rapid development of artificial intelligence, Artificial Intelligence generated content (AIGC) has been increasingly applied in the design industry and has become an important tool for enhancing user efficiency. However, the impact of AIGC i... read more 

An improved activation function for the recognition of knee osteoarthritis severity.

The Knee
BACKGROUND: Existing knee osteoarthritis (KOA) severity classification methods typically rely on a combination of object detection algorithms and classification algorithms. However, this approach not only increases the computational burden and time c... read more 

Closing the loop: A systematic review of artificial intelligence in circular e-waste management.

Waste management (New York, N.Y.)
The proliferation of technological advancements, knitted with volatile consumption patterns and poor end-of-life management of discarded electronics, is currently outpacing sustainability transitions, putting increasing strain on finite material reso... read more 

Comparison of Artificial Intelligence Models for Automatic Segmentation of the Mandibular Canals and Branches.

International dental journal
OBJECTIVES: This study aimed to compare and improve the performance of three deep learning models, i.e., U-Net Transformer (UNETR), Swin UNETR, and 3D UX-Net, for the segmentation of the mandibular canal and its branches. MATERIALS AND METHODS: A dat... read more 

Classifying Delayed Dental Care Using Machine Learning: A National Health Interview Survey Analysis.

International dental journal
BACKGROUND: Delays in dental care worsen oral disease and mirror broader inequities in health care access and use. OBJECTIVE: To estimate the 12-month prevalence of delayed dental care among US adults, to characterise disparities across demographic a... read more 

LEFF-ViT: A locally enhanced vision transformer framework for accurate Alzheimer's Disease classification from brain MRI.

Psychiatry research. Neuroimaging
Early and accurate diagnosis of Alzheimer's Disease (AD) is critical for effective disease management and progression delay. Researches have been done in past towards better study of Alzheimer's, but advancements in feature engineering-cum-learning m... read more