AIMC Topic: Forecasting

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Shunt Implants - Past, Present and Future.

Neurology India
BACKGROUND: The treatment of hydrocephalus has evolved over centuries from being an enigma to the use of complex bioprosthetics. Major developments have taken place in the past few decades in shunt hardware and technology, with the use of complex flo...

Prediction of treatment failure of tuberculosis using support vector machine with genetic algorithm.

International journal of mycobacteriology
BACKGROUND: Tuberculosis (TB) is a disease that mainly affects human lungs. It can be fatal if the treatment is delayed. This study investigates the prediction of treatment failure of TB patients focusing on the features which contributes mostly for ...

Will Artificial Intelligence Replace the Movement Disorders Specialist for Diagnosing and Managing Parkinson's Disease?

Journal of Parkinson's disease
The use of artificial intelligence (AI) to help diagnose and manage disease is of increasing interest to researchers and clinicians. Volumes of health data are generated from smartphones and ubiquitous inexpensive sensors. By using these data, AI can...

Artificial intelligence in healthcare: opportunities and risk for future.

Gaceta sanitaria
OBJECTIVE: This study aimed to find out the opportunity of artificial intelligence (AI) and the risk in health service.

The Future of Dentistry: How AI is Transforming Dental Practices.

Compendium of continuing education in dentistry (Jamesburg, N.J. : 1995)
Artificial Intelligence (AI) builds upon the digital tools the dental profession has already adopted. It promises to transform the patient journey outlined above and support the quest of the dental community to improve oral health. In this review, we...

Artificial intelligence in upper GI endoscopy - current status, challenges and future promise.

Journal of gastroenterology and hepatology
White-light endoscopy with biopsy is the current gold standard modality for detecting and diagnosing upper gastrointestinal (GI) pathology. However, missed lesions remain a challenge. To overcome interobserver variability and learning curve issues, a...

Artificial intelligence in small bowel capsule endoscopy - current status, challenges and future promise.

Journal of gastroenterology and hepatology
Neural network-based solutions are under development to alleviate physicians from the tedious task of small-bowel capsule endoscopy reviewing. Computer-assisted detection is a critical step, aiming to reduce reading times while maintaining accuracy. ...

[Artificial Intelligence in Radiology - Definition, Potential and Challenges].

Praxis
Artificial Intelligence in Radiology - Definition, Potential and Challenges Artificial Intelligence (AI) is omnipresent. It has neatly permeated our daily life, even if we are not always fully aware of its ubiquitous presence. The healthcare sector ...

Potentials of AI in medical image analysis in Gastroenterology and Hepatology.

Journal of gastroenterology and hepatology
With the advancement of artificial intelligence (AI) technology, it comes in a big wave carrying possibly huge impact in the field of medicine. Gastroenterology and hepatology, being a specialty relying much on diagnostic imaging, endoscopy, and hist...

[Artificial intelligence stomatology].

Zhonghua kou qiang yi xue za zhi = Zhonghua kouqiang yixue zazhi = Chinese journal of stomatology
Artificial intelligence (AI) is a kind of technology which is rapidly developed on the basis of computer technology. AI makes it possible for machines to learn from experience, adjust to new inputs and perform human-like tasks. It has been applied in...