Smart additive manufacturing: Current artificial intelligence-enabled methods and future perspectives

At present, fabrication of ceramics using AM-based techniques mainly suffers from two primary limitations, viz: (i) low density and (ii) poor mechanical properties of the finished components. It is worth mentioning that the present state of research in the avenue of AM-based ceramics is focussed mainly on fabricating ceramic and cermet components with enhanced densities and improved mechanical properties. However, to the best of the authors’ knowledge, not much is known about the microstructure evolution and its correlation with the mechanical properties of the finished parts. Addressing the aforementioned avenue is highly essential for understanding the utilisation of these components for structural applications. To this end, the present review article is aimed to address the future perspectives in this avenue has been provided with a special emphasis on the need to establish a systematic structure-property correlation in these materials.

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Additive manufacturing of ceramics and cermets: present status and future perspectives

10.31224/osf.io/f6h95 ◽

2021 ◽

Author(s):

Mainak Saha ◽

Manab Mallik

Keyword(s):

Mechanical Properties ◽

Additive Manufacturing ◽

Present Status ◽

Interdisciplinary Research ◽

Low Density ◽

Metallic Materials ◽

Structure Property ◽

Future Perspectives ◽

Present Decade ◽

Systematic Structure

The present decade has witnessed a huge volume of research revolving around a number of Additive Manufacturing (AM) techniques, especially for the fabrication of different metallic materials. However, fabrication of ceramics and cermets using AM-based techniques mainly suffers from two primary limitations which are: (i) low density and (ii) poor mechanical properties of the final components. Although there has been a considerable volume of work on AM based techniques for manufacturing ceramic and cermet parts with enhanced densities and improved mechanical properties, however, there is limited understanding on the correlation of microstructure of AM-based ceramic and cermet components with the mechanical properties. The present article is aimed to review some of the most commonly used AM techniques for the fabrication of ceramics and cermets. This has been followed by a brief discussion on the microstructural developments during different AM-based techniques. In addition, an overview of the challenges and future perspectives, mainly associated with the necessity towards developing a systematic structure-property correlation in these materials has been provided based on three factors viz. the efficiency of different AM-based fabrication techniques (involved in ceramic and cermet research), an interdisciplinary research combining ceramic research with microstructural engineering and commercialisation of different AM techniques based on the authors’ viewpoints.

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Role of Artificial Intelligence (AI) in Surgery: Introduction, General Principles, and Potential Applications

Surgical Technology Online ◽

10.52198/21.sti.38.so1369 ◽

2020 ◽

Author(s):

Alberto Mangano ◽

Valentina Valle ◽

Nicolas Dreifuss ◽

Gabriela Aguiluz ◽

Mario Masrur

Keyword(s):

Artificial Intelligence ◽

Cognitive Tasks ◽

Future Perspectives ◽

General Introduction ◽

Computing Power ◽

Interdisciplinary Field ◽

Potential Applications ◽

Number Of Publications ◽

Surgical Setting

AI (Artificial intelligence) is an interdisciplinary field aimed at the development of algorithms to endow machines with the capability of executing cognitive tasks. The number of publications regarding AI and surgery has increased dramatically over the last two decades. This phenomenon can partly be explained by the exponential growth in computing power available to the largest AI training runs. AI can be classified into different sub-domains with extensive potential clinical applications in the surgical setting. AI will increasingly become a major component of clinical practice in surgery. The aim of the present Narrative Review is to give a general introduction and summarized overview of AI, as well as to present additional remarks on potential surgical applications and future perspectives in surgery.

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Current challenges and potential directions towards precision microscale additive manufacturing – Part IV: Future perspectives

Precision Engineering ◽

10.1016/j.precisioneng.2020.12.014 ◽

2021 ◽

Vol 68 ◽

pp. 197-205 ◽

Cited By ~ 1

Author(s):

Dipankar Behera ◽

Samira Chizari ◽

Lucas A. Shaw ◽

Michael Porter ◽

Ryan Hensleigh ◽

...

Keyword(s):

Additive Manufacturing ◽

Future Perspectives

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Use of artificial intelligence in imaging in rheumatology – current status and future perspectives

RMD Open ◽

10.1136/rmdopen-2019-001063 ◽

2020 ◽

Vol 6 (1) ◽

pp. e001063 ◽

Cited By ~ 2

Author(s):

Berend Stoel

Keyword(s):

Artificial Intelligence ◽

Deep Learning ◽

Basic Research ◽

Current Status ◽

Future Perspectives ◽

Clinical Imaging ◽

The World ◽

Human Interpretation ◽

The Impact ◽

Insight Into

After decades of basic research with many setbacks, artificial intelligence (AI) has recently obtained significant breakthroughs, enabling computer programs to outperform human interpretation of medical images in very specific areas. After this shock wave that probably exceeds the impact of the first AI victory of defeating the world chess champion in 1997, some reflection may be appropriate on the consequences for clinical imaging in rheumatology. In this narrative review, a short explanation is given about the various AI techniques, including ‘deep learning’, and how these have been applied to rheumatological imaging, focussing on rheumatoid arthritis and systemic sclerosis as examples. By discussing the principle limitations of AI and deep learning, this review aims to give insight into possible future perspectives of AI applications in rheumatology.

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