AI Medical Compendium Topic:
Technology

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Machine learning analysis: general features, requirements and cardiovascular applications.

Minerva cardiology and angiology
Artificial intelligence represents the science which will probably change the future of medicine by solving actually challenging issues. In this special article, the general features of machine learning are discussed. First, a background explanation ...

Diagnosis of skin diseases in the era of deep learning and mobile technology.

Computers in biology and medicine
Efficient methods developed with deep learning in the last ten years have provided objectivity and high accuracy in the diagnosis of skin diseases. They also support accurate, cost-effective and timely treatment. In addition, they provide diagnoses w...

The Barriers of the Assistive Robotics Market-What Inhibits Health Innovation?

Sensors (Basel, Switzerland)
Demographic changes are putting the healthcare industry under pressure. However, while other industries have been able to automate their operation through robotic and autonomous systems, the healthcare sector is still reluctant to change. What makes ...

Support Vector Machine Weather Prediction Technology Based on the Improved Quantum Optimization Algorithm.

Computational intelligence and neuroscience
Emotion recognition is a research hotspot in the field of artificial intelligence. If the human-computer interaction system can sense human emotion and express emotion, it will make the interaction between the robot and human more natural. In this pa...

Understanding the role of digital platforms in technology readiness.

Regenerative medicine
State-of-the-art digital tools that take advantage of machine learning-derived algorithms and advanced data analytics have the potential to transform regenerative medicine by enabling investigators and clinicians to extract intelligence and actionabl...

Understanding risk factors for postoperative mortality in neonates based on explainable machine learning technology.

Journal of pediatric surgery
PURPOSE: We aimed to introduce an explainable machine learning technology to help clinicians understand the risk factors for neonatal postoperative mortality at different levels.

Predicting innovative firms using web mining and deep learning.

PloS one
Evidence-based STI (science, technology, and innovation) policy making requires accurate indicators of innovation in order to promote economic growth. However, traditional indicators from patents and questionnaire-based surveys often lack coverage, g...

How does innovative technology impact nursing in infectious diseases and infection control? A scoping review.

Nursing open
AIM: Considering the increasing number of emerging infectious diseases, innovative approaches are strongly in demand. Additionally, research in this field has expanded exponentially. Thus, faced with this diverse information, we aim to clarify key co...

A hybrid deep learning technology for PM air quality forecasting.

Environmental science and pollution research international
The concentration of PM is one of the main factors in evaluating the air quality in environmental science. The severe level of PM directly affects the public health, economics and social development. Due to the strong nonlinearity and instability of ...