AI Medical Compendium Topic

Explore the latest research on artificial intelligence and machine learning in medicine.

Mental Recall

Showing 21 to 30 of 72 articles

Clear Filters

Multi-modal medical image classification using deep residual network and genetic algorithm.

PloS one
Artificial intelligence (AI) development across the health sector has recently been the most crucial. Early medical information, identification, diagnosis, classification, then analysis, along with viable remedies, are always beneficial developments....

Online continual learning with declarative memory.

Neural networks : the official journal of the International Neural Network Society
Deep neural networks are enjoying unprecedented attention and success in recent years. However, catastrophic forgetting undermines the performance of deep models when the training data are arrived sequentially in an online multi-task learning fashion...

Brain Tumor Classification Using Deep Neural Network and Transfer Learning.

Brain topography
In the field of medical imaging, the classification of brain tumors based on histopathological analysis is a laborious and traditional approach. To address this issue, the use of deep learning techniques, specifically Convolutional Neural Networks (C...

Coherent noise enables probabilistic sequence replay in spiking neuronal networks.

PLoS computational biology
Animals rely on different decision strategies when faced with ambiguous or uncertain cues. Depending on the context, decisions may be biased towards events that were most frequently experienced in the past, or be more explorative. A particular type o...

Detection of Abnormal Changes on the Dorsal Tongue Surface Using Deep Learning.

Medicina (Kaunas, Lithuania)
: The tongue mucosa often changes due to various local and systemic diseases or conditions. This study aimed to investigate whether deep learning can help detect abnormal regions on the dorsal tongue surface in patients and healthy adults. : The stud...

A multilayered bidirectional associative memory model for learning nonlinear tasks.

Neural networks : the official journal of the International Neural Network Society
A multilayered bidirectional associative memory neural network is proposed to account for learning nonlinear types of association. The model (denoted as the MF-BAM) is composed of two modules, the Multi-Feature extracting bidirectional associative me...

Evaluation of an artificial intelligence system for the diagnosis of apical periodontitis on digital panoramic images.

Nigerian journal of clinical practice
AIMS: The aim of the present study was to evaluate the effectiveness of an artificial intelligence (AI) system in the detection of roots with apical periodontitis (AP) on digital panoramic radiographs.

Screening adequacy of unstained thyroid fine needle aspiration samples using a deep learning-based classifier.

Scientific reports
Fine needle aspiration (FNA) biopsy of thyroid nodules is a safe, cost-effective, and accurate diagnostic method for detecting thyroid cancer. However, about 10% of initial FNA biopsy samples from patients are non-diagnostic and require repeated FNA,...

Aphid cluster recognition and detection in the wild using deep learning models.

Scientific reports
Aphid infestation poses a significant threat to crop production, rural communities, and global food security. While chemical pest control is crucial for maximizing yields, applying chemicals across entire fields is both environmentally unsustainable ...

Assessment of the capacity of ChatGPT as a self-learning tool in medical pharmacology: a study using MCQs.

BMC medical education
BACKGROUND: ChatGPT is a large language model developed by OpenAI that exhibits a remarkable ability to simulate human speech. This investigation attempts to evaluate the potential of ChatGPT as a standalone self-learning tool, with specific attentio...