AIMC Topic: Artificial Intelligence

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[Clinical research of a continuous auscultation recorder based on artificial intelligence].

Zhonghua yi xue za zhi
To investigate the feasibility and clinical significance of a continuous auscultation recorder of bowel sounds based on artificial intelligence in monitoring the bowel sounds. From November 1,2018 to August 12,2019, a continuous auscultation record...

Artificial Intelligence and Hypertension: Recent Advances and Future Outlook.

American journal of hypertension
Prevention and treatment of hypertension (HTN) are a challenging public health problem. Recent evidence suggests that artificial intelligence (AI) has potential to be a promising tool for reducing the global burden of HTN, and furthering precision me...

Clinical Laboratory Employees' Attitudes Toward Artificial Intelligence.

Laboratory medicine
OBJECTIVE: The objective of this study was to determine the attitudes of laboratory personnel toward the application of artificial intelligence (AI) in the laboratory.

How much deep learning is enough for automatic identification to be reliable?

The Angle orthodontist
OBJECTIVES: To determine the optimal quantity of learning data needed to develop artificial intelligence (AI) that can automatically identify cephalometric landmarks.

[Application and prospects of hyperspectral imaging and deep learning in traditional Chinese medicine in context of AI and industry 4.0].

Zhongguo Zhong yao za zhi = Zhongguo zhongyao zazhi = China journal of Chinese materia medica
In the 21 st century, the rise of artificial intelligence(AI) marks the arrival of the intelligence era or the era of Industry 4.0. In addition to the rapid development of computer and electronic information science, machine learning, as the core int...

Application of machine intelligence technology in the detection of vaccines and medicines for SARS-CoV-2.

European review for medical and pharmacological sciences
Researchers have found many similarities between the 2003 severe acute respiratory syndrome (SARS) virus and SARS-CoV-19 through existing data that reveal the SARS's cause. Artificial intelligence (AI) learning models can be created to predict drug s...

[Artificial intelligence and palliative care: opportunities and limitations.].

Recenti progressi in medicina
The so-called artificial intelligence tools applied to palliative care (machine learning, natural language processing) have great potential to support clinicians in improving decision-making processes and in identifying those who are at high risk of ...

Computed Tomography Image Reconstruction.

Radiologic technology
Filtered back projection was used in computed tomography (CT) but produced low-dose CT images that were noisy and included artifacts. Iterative reconstruction was introduced, which reduced noise and demonstrated dose reduction; however, reconstructio...