AIMC Topic: Humans

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Hybrid LSTM Self-Attention Mechanism Model for Forecasting the Reform of Scientific Research in Morocco.

Computational intelligence and neuroscience
Education is the cultivation of people to promote and guarantee the development of society. Education reforms can play a vital role in the development of a country. However, it is crucial to continually monitor the educational model's performance by ...

Improvement of Neoantigen Identification Through Convolution Neural Network.

Frontiers in immunology
Accurate prediction of neoantigens and the subsequent elicited protective anti-tumor response are particularly important for the development of cancer vaccine and adoptive T-cell therapy. However, current algorithms for predicting neoantigens are lim...

Image-Guided Human Reconstruction via Multi-Scale Graph Transformation Networks.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
3D human reconstruction from a single image is a challenging problem. Existing methods have difficulties to infer 3D clothed human models with consistent topologies for various poses. In this paper, we propose an efficient and effective method using ...

Representational Content of Oscillatory Brain Activity during Object Recognition: Contrasting Cortical and Deep Neural Network Hierarchies.

eNeuro
Numerous theories propose a key role for brain oscillations in visual perception. Most of these theories postulate that sensory information is encoded in specific oscillatory components (e.g., power or phase) of specific frequency bands. These theori...

Improvements to PTSD quality metrics with natural language processing.

Journal of evaluation in clinical practice
RATIONALE AIMS AND OBJECTIVES: As quality measurement becomes increasingly reliant on the availability of structured electronic medical record (EMR) data, clinicians are asked to perform documentation using tools that facilitate data capture. These t...

Exploring the phenomenon and ethical issues of AI paternalism in health apps.

Bioethics
Health apps, including consumer-oriented fitness apps, have two functions. They are supposed to monitor and promote users' health, the latter by way of being an instance of persuasive technology. The use of artificial intelligence (AI) allows for AI ...

Robot-Assisted Stereotactic Shunting as a Novel Treatment for Pontine Glioependymal Cysts.

Journal of neurological surgery. Part A, Central European neurosurgery
In this case report, the authors describe the first case of a glioependymal cyst of the brainstem managed by robot-assisted, stereotactic, cysto-ventricular shunting. Glioependymal cysts are rare congenital cystic lesions that are thought to form by ...

Surgical Outcomes of Hysterectomy via Robot-assisted versus Traditional Transvaginal Natural Orifice Transluminal Endoscopic Surgery.

Journal of minimally invasive gynecology
STUDY OBJECTIVE: To evaluate the safety and feasibility of robot-assisted transvaginal natural orifice transluminal endoscopic surgery (R-vNOTES) hysterectomy when compared with traditional vNOTES (T-vNOTES) hysterectomy.

Leveraging electronic health record data to inform hospital resource management : A systematic data mining approach.

Health care management science
Early identification of resource needs is instrumental in promoting efficient hospital resource management. Hospital information systems, and electronic health records (EHR) in particular, collect valuable demographic and clinical patient data from t...

Clinical risk prediction models and informative cluster size: Assessing the performance of a suicide risk prediction algorithm.

Biometrical journal. Biometrische Zeitschrift
Clinical visit data are clustered within people, which complicates prediction modeling. Cluster size is often informative because people receiving more care are less healthy and at higher risk of poor outcomes. We used data from seven health systems ...