AIMC Topic: Artificial Intelligence

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Artificial Intelligence in Pathology.

Deutsches Arzteblatt international
BACKGROUND: Increasing digitalization enables the use of artificial intelligence (AI) and machine learning in pathology. However, these technologies have only just begun to be implemented, and no randomized prospective trials have yet shown a benefit...

[Preface for special issue on industrial microorganisms: innovation and breakthrough (2021)].

Sheng wu gong cheng xue bao = Chinese journal of biotechnology
Industrial microorganisms and their products are widely used in various fields such as industry, agriculture, and medicine, which play a pivotal role in economy. Efficient industrial strains are the key to improve production efficiency, and advanced ...

[Application and progress of artificial intelligence in endoscopic diagnosis of superficial esophageal cancer].

Zhonghua zhong liu za zhi [Chinese journal of oncology]
China is a country with high incidence of esophageal cancer. Advanced esophageal cancer not only brings serious threat to the health of patients, but also brings heavy economic burden to their families and society. Early diagnosis and treatment of es...

Leveraging conversational technology to answer common COVID-19 questions.

Journal of the American Medical Informatics Association : JAMIA
The rapidly evolving science about the Coronavirus Disease 2019 (COVID-19) pandemic created unprecedented health information needs and dramatic changes in policies globally. We describe a platform, Watson Assistant (WA), which has been used to develo...

Recommendations for the safe, effective use of adaptive CDS in the US healthcare system: an AMIA position paper.

Journal of the American Medical Informatics Association : JAMIA
The development and implementation of clinical decision support (CDS) that trains itself and adapts its algorithms based on new data-here referred to as Adaptive CDS-present unique challenges and considerations. Although Adaptive CDS represents an ex...

Trust and medical AI: the challenges we face and the expertise needed to overcome them.

Journal of the American Medical Informatics Association : JAMIA
Artificial intelligence (AI) is increasingly of tremendous interest in the medical field. How-ever, failures of medical AI could have serious consequences for both clinical outcomes and the patient experience. These consequences could erode public tr...

Predictive modeling based on small data in clinical medicine: RBF-based additive input-doubling method.

Mathematical biosciences and engineering : MBE
The paper considers the problem of handling short sets of medical data. Effectively solving this problem will provide the ability to solve numerous classification and regression tasks in case of limited data in health decision support systems. Many s...

Full-color retinal-projection near-eye display using a multiplexing-encoding holographic method.

Optics express
We propose a novel method to construct an optical see-through retinal-projection near-eye display using the Maxwellian view and a holographic method. To provide a dynamic full-color virtual image, a single phase-only spatial light modulator (SLM) was...

Artificial Intelligence Improves the Accuracy in Histologic Classification of Breast Lesions.

American journal of clinical pathology
OBJECTIVES: This study evaluated the usefulness of artificial intelligence (AI) algorithms as tools in improving the accuracy of histologic classification of breast tissue.

Machine learning-integrated omics for the risk and safety assessment of nanomaterials.

Biomaterials science
With the advancement in nanotechnology, we are experiencing transformation in world order with deep insemination of nanoproducts from basic necessities to advanced electronics, health care products and medicines. Therefore, nanoproducts, however, can...