AIMC Topic: Artificial Intelligence

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Predictive models based on machine learning for bone metastasis in patients with diagnosed colorectal cancer.

Frontiers in public health
BACKGROUND: This study aimed to develop an artificial intelligence predictive model for predicting the probability of developing BM in CRC patients.

Construction of College Students' Employment Quality Evaluation Model System under the Background of Digitalization.

Journal of environmental and public health
In the era of knowledge economy, human resources are being valued by various countries and regions. The report of the 19th National Congress of the Communist Party of China pointed out that "talent is a strategic resource for realizing national rejuv...

The Challenges of Regulating Artificial Intelligence in Healthcare Comment on "Clinical Decision Support and New Regulatory Frameworks for Medical Devices: Are We Ready for It? - A Viewpoint Paper".

International journal of health policy and management
Regulation of health technologies must be rigorous, instilling trust among both healthcare providers and patients. This is especially important for the control and supervision of the growing use of artificial intelligence in healthcare. In this comme...

CPV of the Future: AI-Powered Continued Process Verification for Bioreactor Processes.

PDA journal of pharmaceutical science and technology
According to the standard guidelines by the FDA, process validation in biopharma manufacturing encompasses a life cycle consisting of three stages: process design (PD), process qualification (PQ), and continued process verification (CPV). The validit...

Automatic identification of meibomian gland dysfunction with meibography images using deep learning.

International ophthalmology
BACKGROUND: Artificial intelligence is developing rapidly, bringing increasing numbers of intelligent products into daily life. However, it has little progress in dry eye, which is a common disease and associated with meibomian gland dysfunction (MGD...

Choreography Controlled (ChoCo) brain MRI artifact generation for labeled motion-corrupted datasets.

Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB)
MRI is a non-invasive medical imaging modality that is sensitive to patient motion, which constitutes a major limitation in most clinical applications. Solutions may arise from the reduction of acquisition times or from motion-correction techniques, ...

Socially situated artificial intelligence enables learning from human interaction.

Proceedings of the National Academy of Sciences of the United States of America
Regardless of how much data artificial intelligence agents have available, agents will inevitably encounter previously unseen situations in real-world deployments. Reacting to novel situations by acquiring new information from other people-socially s...

Multilevel development of cognitive abilities in an artificial neural network.

Proceedings of the National Academy of Sciences of the United States of America
Several neuronal mechanisms have been proposed to account for the formation of cognitive abilities through postnatal interactions with the physical and sociocultural environment. Here, we introduce a three-level computational model of information pro...

Automatic Meter Reading from UAV Inspection Photos in the Substation by Combining YOLOv5s and DeeplabV3.

Sensors (Basel, Switzerland)
The combination of unmanned aerial vehicles (UAVs) and artificial intelligence is significant and is a key topic in recent substation inspection applications; and meter reading is one of the challenging tasks. This paper proposes a method based on th...