AI Medical Compendium Journal:
SLAS technology

Showing 1 to 10 of 86 articles

ML-Driven Alzheimer's disease prediction: A deep ensemble modeling approach.

SLAS technology
Alzheimer's disease (AD) is a progressive neurological disorder characterized by cognitive decline due to brain cell death, typically manifesting later in life.Early and accurate detection is critical for effective disease management and treatment. T...

Postoperative self-care ability of continuous nursing based on artificial intelligence for stroke patients with neurological injury.

SLAS technology
According to the statistics of relevant data, stroke is a relatively common cerebrovascular disease, and its incidence rate is as high as 185/100,000 to 219/100,000. Continuous care can improve the quality of life of stroke patients and reduce the ra...

CirnetamorNet: An ultrasonic temperature measurement network for microwave hyperthermia based on deep learning.

SLAS technology
OBJECTIVE: Microwave thermotherapy is a promising approach for cancer treatment, but accurate noninvasive temperature monitoring remains challenging. This study aims to achieve accurate temperature prediction during microwave thermotherapy by efficie...

Alpha test 1 robotic platform for traditional Chinese medicine pretreatment: Automated modular integration and quality control applications.

SLAS technology
Sample pretreatment plays an important role in analytical performance, but it is often the rate-limiting step in scientific research. With the development of automation technology, automated sample preparation has become a powerful tool for liberatin...

The application of natural language processing technology in hospital network information management systems: Potential for improving diagnostic accuracy and efficiency.

SLAS technology
BACKGROUND: Processing scanned documents in electronic health records (EHR) was one of the problem in hospital network information management systems (HNIMS). To overcome this difficulty, the complex interactions among natural language processing (NL...

NLP for computational insights into nutritional impacts on colorectal cancer care.

SLAS technology
Colorectal cancer (CRC) is one of the most prominent cancers globally, with its incidence rising among younger adults due to improved screening practices. However, existing algorithms for CRC prediction are frequently trained on datasets that primari...

A hybrid PKI and spiking neural network approach for enhancing security and energy efficiency in IoMT-based healthcare 5.0.

SLAS technology
In the rapidly evolving field of healthcare 5.0, the Internet of Medical Things (IoMT) is expected to be an enabler that allows smart medical devices to collaborate and communicate with healthcare networks to speed up procedures, enhance care, and im...

AI driven cardiovascular risk prediction using NLP and Large Language Models for personalized medicine in athletes.

SLAS technology
The performance and long-term health of athletes are significantly influenced by their cardiovascular resilience and associated risk factors. This study explores the innovative applications of Natural Language Processing (NLP) and Large Language Mode...

Artificial intelligence medical image-aided diagnosis system for risk assessment of adjacent segment degeneration after lumbar fusion surgery.

SLAS technology
The existing assessment of adjacent segment degeneration (ASD) risk after lumbar fusion surgery focuses on a single type of clinical information or imaging manifestations. In the early stages, it is difficult to show obvious degeneration characterist...

Large language models in breast cancer reconstruction: A framework for patient-specific recovery and predictive insights.

SLAS technology
Breast cancer reconstruction, a vital part of comprehensive cancer therapy, can be performed concurrently with cancer resection, improving both physical and psychological recovery for patients. However, the intricacy and variety of recovery demand a ...