Reform

Low-Power and Low-Cost AI Processor With Distributed-Aggregated Classification Architecture for Wearable Epilepsy Seizure Detection.

Wearable devices with continuous monitoring capabilities are critical for the daily detection of epileptic seizures, as they provide users with accurate and comprehensible analytical results. However, current AI classifiers rely on a two-stage recognition process for continuous monitoring, which only reduces operation time but remains challenged by the high cost of additional hardware. To address ...

Enhancing early detection of Alzheimer's disease through hybrid models based on feature fusion of multi-CNN and handcrafted features.

Alzheimer's disease (AD) is a brain disorder that causes memory loss and behavioral and thinking problems. The symptoms of Alzheimer's are similar throughout its development stages, which makes it difficult to diagnose manually. Therefore, artificial intelligence (AI) techniques address the limitations of manual diagnosis. In this study, the images were enhanced and the active contour algorithm (A...

OptimCLM: Optimizing clinical language models for predicting patient outcomes via knowledge distillation, pruning and quantization.

BACKGROUND: Clinical Language Models (CLMs) possess the potential to reform traditional healthcare systems by aiding in clinical decision making and o...

The Promise of Remote Patient Monitoring.

The promise of remote patient monitoring (RPM) lies in its ability to revolutionize health care delivery by enabling continuous, real-time tracking of...

The EU Artificial Intelligence Act (2024): Implications for healthcare.

In August 2024, the EU Artificial Intelligence Act (AI Act) entered into force. This legally binding instrument sets rules for the development, the pl...

CHNet: A multi-task global-local Collaborative Hybrid Network for KRAS mutation status prediction in colorectal cancer.

Accurate prediction of Kirsten rat sarcoma (KRAS) mutation status is crucial for personalized treatment of advanced colorectal cancer patients. Howeve...

An intelligent model to decode students' behavioral states in physical education using back propagation neural network and Hidden Markov Model.

This paper highlights the need for intelligent analysis of students' behavioral states in physical education tasks. The hand-ring inertial data is use...

A stakeholder analysis to prepare for real-world evaluation of integrating artificial intelligent algorithms into breast screening (PREP-AIR study): a qualitative study using the WHO guide.

BACKGROUND: The national breast screening programme in the United Kingdom is under pressure due to workforce shortages and having been paused during t...

Medical malpractice liability in large language model artificial intelligence: legal review and policy recommendations.

The emergence of generative large language model (LLM) artificial intelligence (AI) represents one of the most profound developments in healthcare in ...

[Quality indicators artificial intelligence].

The ability of some artificial intelligence (AI) systems to autonomously evolve and the sometimes very limited possibilities to comprehend their decis...

Students' Foreign Language Learning Adaptability and Mental Health Supported by Artificial Intelligence.

The rapid development of social reform and the economy has brought great challenges to the mental health of college students. However, there are few s...

Artificial intelligence and cognitive diagnosis based teaching resource recommendation algorithm.

In the realm of advanced technology, deep learning capabilities are harnessed to analyze and predict novel data, once it has absorbed existing informa...

The development of robotics courses for young children under vector space model.

Robotics education is important in training children's thinking, practical, and innovation abilities. It is significant to stimulate children's intere...

Artificial Intelligence Aided Lipase Production and Engineering for Enzymatic Performance Improvement.

With the development of artificial intelligence (AI), tailoring methods for enzyme engineering have been widely expanded. Additional protocols based o...

Deep Learning-Based Model for Automatic Assessment of Anterior Angle Chamber in Ultrasound Biomicroscopy.

OBJECTIVE: The goal of the work described here was to develop and assess a deep learning-based model that could automatically segment anterior chamber...

MedKPL: A heterogeneous knowledge enhanced prompt learning framework for transferable diagnosis.

Artificial Intelligence (AI) based diagnosis systems have emerged as powerful tools to reform traditional medical care. Each clinician now wants to ha...

Influence of artificial intelligence in education on adolescents' social adaptability: The mediatory role of social support.

Artificial intelligence (AI) is widely used in the field of education at present, but people know little about its possible impacts, especially on the...

Applications of Bayesian Neural Networks in Outlier Detection.

Anomaly detection is crucial in a variety of domains, such as fraud detection, disease diagnosis, and equipment defect detection. With the development...

Investigation on Deep Learning Model of College English Based on Multimodal Learning Method.

Deep learning refers to active learning that allows students to perceive, experience, understand, and apply knowledge. Deep learning focuses on the ma...

Strategies for Ideological and Political Education in Colleges and Universities Based on Deep Learning.

Ideological and political education in colleges and universities is routinely burdened with the job of building morality and cultivating people, which...