AIMC Topic: Artificial Intelligence

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Artificial intelligence: Its role in dermatopathology.

Indian journal of dermatology, venereology and leprology
Artificial intelligence (AI), a major frontier in the field of medical research, can potentially lead to a paradigm shift in clinical practice. A type of artificial intelligence system known as convolutional neural network points to the possible util...

Live-Cell Labeling and Artificial Intelligence Approaches for High-Resolution XYZT Imaging of Cytoskeletal Dynamics During Collective Cell Migration.

Methods in molecular biology (Clifton, N.J.)
Collective cell migration is crucial for a variety of pathophysiological processes including embryonic development, wound healing, carcinoma invasion, and sprouting angiogenesis. The behavior of leading and following cells during migration is highly ...

The Impact of Dental Artificial Intelligence for Radiograph Analysis.

Compendium of continuing education in dentistry (Jamesburg, N.J. : 1995)
Dental artificial intelligence (AI) software can analyze and annotate radiographs in near real-time, transforming traditional gray-scale images into a color-coded diagnostic adjunct designed to draw the eye to potential pathologies. In this article, ...

Cost supervision mining from EMR based on artificial intelligence technology.

Technology and health care : official journal of the European Society for Engineering and Medicine
BACKGROUND: To effectively monitor medical insurance funds in the era of big data, the study tries to construct an inpatient cost rationality judgement model by designing a virtuous cycle of inpatient cost supervision information system and exploring...

[Application and prospect of artificial intelligence in pancreatic cancer].

Zhonghua wai ke za zhi [Chinese journal of surgery]
As a severe malignant tumor of the digestive system,the highly invasive pancreatic cancer lacks typical preliminary symptoms. Rapid metastatic dissemination and difficulty in early-stage diagnosis preclude the chance of radical curative resection,hen...

[Automatic anatomical site recognition of laryngoscopic images using convolutional neural network].

Lin chuang er bi yan hou tou jing wai ke za zhi = Journal of clinical otorhinolaryngology head and neck surgery
To explore the automatic recognition and classification of 20 anatomical sites in laryngoscopy by an artificial intelligence(AI) quality control system using convolutional neural network(CNN). Laryngoscopic image data archived from laryngoscopy exam...