AIMC Topic: Humans

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Intelligent Energy-Aware Thermal Exchange Optimization with Deep Learning Model for IoT-Enabled Smart Healthcare.

Journal of healthcare engineering
In recent years, Internet of Things (IoT) and advanced sensor technologies have gained considerable interest in linking different medical devices, patients, and healthcare professionals to improve the quality of medical services in a cost-effective m...

Artificial intelligence for detecting temporomandibular joint osteoarthritis using radiographic image data: A systematic review and meta-analysis of diagnostic test accuracy.

PloS one
In this review, we assessed the diagnostic efficiency of artificial intelligence (AI) models in detecting temporomandibular joint osteoarthritis (TMJOA) using radiographic imaging data. Based upon the PRISMA guidelines, a systematic review of studies...

Review of Visualization Approaches in Deep Learning Models of Glaucoma.

Asia-Pacific journal of ophthalmology (Philadelphia, Pa.)
Glaucoma is a major cause of irreversible blindness worldwide. As glaucoma often presents without symptoms, early detection and intervention are important in delaying progression. Deep learning (DL) has emerged as a rapidly advancing tool to help ach...

Three Challenges for AI-Assisted Decision-Making.

Perspectives on psychological science : a journal of the Association for Psychological Science
Artificial intelligence (AI) has the potential to improve human decision-making by providing decision recommendations and problem-relevant information to assist human decision-makers. However, the full realization of the potential of human-AI collabo...

Single-Port Robotic Removal of a Submucosal Foreign Body in the Distal Hypopharynx.

The Laryngoscope
In this report, we present a 55-year-old female with cervical stenosis that underwent C5-C7 anterior cervical discectomy and fusion surgery complicated by hardware failure requiring removal. One screw remained after transcervical hardware removal due...

Machine Learning Classification of Body Part, Imaging Axis, and Intravenous Contrast Enhancement on CT Imaging.

Canadian Association of Radiologists journal = Journal l'Association canadienne des radiologistes
The development and evaluation of machine learning models that automatically identify the body part(s) imaged, axis of imaging, and the presence of intravenous contrast material of a CT series of images. This retrospective study included 6955 serie...

Artificial intelligence in the neonatal intensive care unit: the time is now.

Journal of perinatology : official journal of the California Perinatal Association
Artificial intelligence (AI) has the potential to revolutionize the neonatal intensive care unit (NICU) care by leveraging the large-scale, high-dimensional data that are generated by NICU patients. There is an emerging recognition that the confluenc...

Binding the Person-Specific Approach to Modern AI in the Human Screenome Project: Moving past Generalizability to Transferability.

Multivariate behavioral research
Advances in ability to comprehensively record individuals' digital lives and in AI modeling of those data facilitate new possibilities for describing, predicting, and generating a wide variety of behavioral processes. In this paper, we consider these...