AIMC Topic: Humans

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Fetal electrocardiography and artificial intelligence for prenatal detection of congenital heart disease.

Acta obstetricia et gynecologica Scandinavica
INTRODUCTION: This study aims to investigate non-invasive electrocardiography as a method for the detection of congenital heart disease (CHD) with the help of artificial intelligence.

Machine Learning Approaches to the Prediction of Osteoarthritis Phenotypes and Outcomes.

Current rheumatology reports
PURPOSE OF REVIEW: Osteoarthritis (OA) is a complex heterogeneous disease with no effective treatments. Artificial intelligence (AI) and its subfield machine learning (ML) can be applied to data from different sources to (1) assist clinicians and pat...

Customization of a passive surgical support robot to specifications for ophthalmic surgery and preliminary evaluation.

Japanese journal of ophthalmology
PURPOSE: To customize a passive surgery support robot for ophthalmic surgery and preliminarily evaluate its performance.

Improving domain generalization performance for medical image segmentation via random feature augmentation.

Methods (San Diego, Calif.)
Deep convolutional neural networks (DCNNs) have shown remarkable performance in medical image segmentation tasks. However, medical images frequently exhibit distribution discrepancies due to variations in scanner vendors, operators, and image quality...

Evaluating the potential of ChatGPT-4 in ophthalmology: The good, the bad and the ugly.

Journal francais d'ophtalmologie
There is growing interest nowadays for artificial intelligence (AI) in all medical fields. Beyond the direct medical application of AI to medical data, generative AI such as "pre-trained transformer" (GPT) could significantly change the ophthalmology...

Associating biological context with protein-protein interactions through text mining at PubMed scale.

Journal of biomedical informatics
Inferring knowledge from known relationships between drugs, proteins, genes, and diseases has great potential for clinical impact, such as predicting which existing drugs could be repurposed to treat rare diseases. Incorporating key biological contex...

Artificial intelligence and the impact on medical genetics.

American journal of medical genetics. Part C, Seminars in medical genetics
Virtually all areas of biomedicine will be increasingly affected by applications of artificial intelligence (AI). We discuss how AI may affect fields of medical genetics, including both clinicians and laboratorians. In addition to reviewing the antic...

Deep Learning Segmentation of the Nucleus Basalis of Meynert on 3T MRI.

AJNR. American journal of neuroradiology
BACKGROUND AND PURPOSE: The nucleus basalis of Meynert is a key subcortical structure that is important in arousal and cognition and has been explored as a deep brain stimulation target but is difficult to study due to its small size, variability amo...

Identification of lymph node metastasis in pre-operation cervical cancer patients by weakly supervised deep learning from histopathological whole-slide biopsy images.

Cancer medicine
BACKGROUND: Lymph node metastasis (LNM) significantly impacts the prognosis of individuals diagnosed with cervical cancer, as it is closely linked to disease recurrence and mortality, thereby impacting therapeutic schedule choices for patients. Howev...

Deep Learning for Counting People from UWB Channel Impulse Response Signals.

Sensors (Basel, Switzerland)
The use of higher frequency bands compared to other wireless communication protocols enhances the capability of accurately determining locations from ultra-wideband (UWB) signals. It can also be used to estimate the number of people in a room based o...