AIMC Topic: Humans

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An efficient network with state space model under evidential training for fetal echocardiography standard view recognition.

Medical & biological engineering & computing
Fetal congenital heart disease (FCHD) represents a serious and prevalent congenital malformation. However, there exist notable regional disparities in the detection rates of fetal heart abnormalities. To enhance the diagnostic capabilities of ultraso...

A machine learning model for prenatal risk prediction of cephalopelvic disproportion-related dystocia: A retrospective study.

International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics
OBJECTIVE: To develop a prenatal risk prediction model for cephalopelvic disproportion (CPD)-related dystocia. This model aims to complement obstetricians' empirical judgments by identifying high-risk CPD-related dystocia cases within populations dee...

What is the doggest dog? Examination of typicality perception in ImageNet-trained networks.

Neural networks : the official journal of the International Neural Network Society
Due to the emergence of numerous model architectures in recent years, researchers finally have access to models that are diverse enough to properly study them from the perspective of cognitive psychology theories, e.g. Prototype Theory. The theory as...

Enhancing multiview synergy: Robust learning by exploiting the wave loss function with consensus and complementarity principles.

Neural networks : the official journal of the International Neural Network Society
Multiview learning (MvL) is an advancing domain in machine learning, leveraging multiple data perspectives to enhance model performance through view-consistency and view-discrepancy. Despite numerous successful multiview-based support vector machine ...

A new approach to bioceramics based on tissue reaction of tricalcium phosphate for biomedical and sport applications using machine learning modeling.

Tissue & cell
Tricalcium phosphate (TCP) bioceramics have emerged as a promising option to meet the specific requirements associated with athlete bone fractures. Advanced computational modeling techniques, such as artificial neural networks (ANNs), have been lever...

Source-free time series domain adaptation with wavelet-based multi-scale temporal imputation.

Neural networks : the official journal of the International Neural Network Society
Recent works on source-free domain adaptation (SFDA) for time series reveal the effectiveness of learning domain-invariant temporal dynamics on improving the cross-domain performance of the model. However, existing SFDA methods for time series mainly...

Opportunities and Barriers to Artificial Intelligence Adoption in Palliative/Hospice Care for Underrepresented Groups: A Technology Acceptance Model-Based Review.

Journal of hospice and palliative nursing : JHPN : the official journal of the Hospice and Palliative Nurses Association
Underrepresented groups (URGs) in the United States, including African Americans, Latino/Hispanic Americans, Asian Pacific Islanders, and Native Americans, face significant barriers to accessing hospice and palliative care. Factors such as language b...

Analysis of Multiple Programmed Cell Death Patterns and Functional Validations of Apoptosis-Associated Genes in Lung Adenocarcinoma.

Annals of surgical oncology
BACKGROUND: Lung adenocarcinoma (LUAD) is marked by its considerable aggressiveness and pronounced heterogeneity. Programmed cell death (PCD) plays a pivotal role in the progression of tumors, their aggressive behavior, resistance to treatment, and r...

Random forest and Shapley Additive exPlanations predict oxytocin targeted effects on brain functional networks involved in salience and sensorimotor processing, in a randomized clinical trial in autism.

Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology
Intranasal oxytocin (IN-OXT) has shown some promises in rescuing social deficits in autism spectrum disorder (ASD) as well as some inconsistencies in long-term trials. We conducted a target engagement study to study the precise effects of different d...

Integrating deep learning and molecular dynamics simulations for FXR antagonist discovery.

Molecular diversity
Farnesoid X receptor (FXR) is a key regulator of bile acid, lipid, and glucose homeostasis, making it a promising target for treating metabolic diseases. FXR antagonists have shown therapeutic potential in cholestasis, metabolic disorders, and certai...