Therapeutic Intervention in Musculoskeletal Radiology: Current Practice and Future Directions

AbstractOver the last several decades, the volume and range of therapeutic musculoskeletal (MSK) interventions that radiologists can offer their patients has dramatically increased. With new materials and improving imaging modalities, as well as significant investment in research, the field of MSK interventional radiologic intervention will likely continue to expand. In this article, we summarize the range of interventions currently available to the MSK radiologist. We also seek to explore new and emerging techniques that may become commonplace in the near future while considering the challenges that may lie ahead in the field of MSK radiology.

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Musculoskeletal Radiology Around the Globe: Current Practice and Future Directions

Seminars in Musculoskeletal Radiology ◽

10.1055/s-0038-1673622 ◽

2018 ◽

Vol 22 (05) ◽

pp. 509-510

Author(s):

Stephen Eustace ◽

Adam Zoga

Keyword(s):

Current Practice ◽

Musculoskeletal Radiology ◽

Future Directions

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Role of Musculoskeletal Radiology in Modern Sports Medicine

Seminars in Musculoskeletal Radiology ◽

10.1055/s-0038-1672191 ◽

2018 ◽

Vol 22 (05) ◽

pp. 582-591

Author(s):

John Walsh ◽

T.P. Farrell ◽

Aoife Murray ◽

Stephen Eustace ◽

John Hynes

Keyword(s):

Therapeutic Intervention ◽

Sports Medicine ◽

Elite Athletes ◽

Imaging Modalities ◽

Sporting Events ◽

Musculoskeletal Radiology ◽

Image Guided ◽

Future Developments ◽

Current Practices

AbstractMusculoskeletal radiology's role in the recent and continued evolution of sports medicine is an exciting and expanding one. In this article we explore a variety of the ways that musculoskeletal radiology contributes to current practices in modern sports medicine, discussing advances across a variety of imaging modalities in the care of both elite athletes and so-called weekend warriors. We describe the technical and ethical factors pertaining to image-guided therapeutic intervention in athletes and speculate on the potential for future developments in the role of imaging in deciding when an athlete may return to participation. We also explore the recent shift to the delivery of imaging facilities at sporting events and in stadiums.

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Translating Principles of Speech Science to Clinical Practice: Current and Future Trends in Craniofacial Disorders

Perspectives on Speech Science and Orofacial Disorders ◽

10.1044/ssod18.1.31 ◽

2008 ◽

Vol 18 (1) ◽

pp. 31-40 ◽

Cited By ~ 2

Author(s):

David J. Zajac

Keyword(s):

Clinical Practice ◽

Speech Intelligibility ◽

Current Practice ◽

Computer Assisted ◽

Behavioral Management ◽

Single Word ◽

Future Directions ◽

Speech Science ◽

The Impact ◽

Opinion Article

Abstract The purpose of this opinion article is to review the impact of the principles and technology of speech science on clinical practice in the area of craniofacial disorders. Current practice relative to (a) speech aerodynamic assessment, (b) computer-assisted single-word speech intelligibility testing, and (c) behavioral management of hypernasal resonance are reviewed. Future directions and/or refinement of each area are also identified. It is suggested that both challenging and rewarding times are in store for clinical researchers in craniofacial disorders.

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Recent Nano-based Therapeutic Intervention of Bioactive Sesquiterpenes: Prospects in Cancer Therapeutics

Current Pharmaceutical Design ◽

10.2174/1381612826666200116151522 ◽

2020 ◽

Vol 26 (11) ◽

pp. 1138-1144 ◽

Cited By ~ 8

Author(s):

Mohammad A. Ansari ◽

Khan F. Badrealam ◽

Asrar Alam ◽

Saba Tufail ◽

Gulshan Khalique ◽

...

Keyword(s):

Physicochemical Properties ◽

Essential Oils ◽

Plant Species ◽

Bioactive Compounds ◽

Therapeutic Intervention ◽

Cancer Therapeutics ◽

Therapeutic Interventions ◽

Pharmacological Intervention ◽

Clinical Applicability ◽

Near Future

: In the recent scenario, nanotechnology-based therapeutics intervention has gained tremendous impetus all across the globe. Nano-based pharmacological intervention of various bioactive compounds has been explored on an increasing scale. Sesquiterpenes are major constituents of essential oils (EOs) present in various plant species which possess intriguing therapeutic potentials. However, owing to their poor physicochemical properties; they have pharmacological limitations. Recent advances in nano-based therapeutic interventions offer various avenues to improve their therapeutic applicability. Reckoning with these, the present review collates various nano-based therapeutic intervention of sesquiterpenes with prospective potential against various debilitating diseases especially cancer. In our viewpoint, considering the burgeoning advancement in the field of nanomedicine; in the near future, the clinical applicability of these nano-formulated sesquiterpenes can be foreseen with great enthusiasm.

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A Survey on Bias and Fairness in Machine Learning

ACM Computing Surveys ◽

10.1145/3457607 ◽

2021 ◽

Vol 54 (6) ◽

pp. 1-35

Author(s):

Ninareh Mehrabi ◽

Fred Morstatter ◽

Nripsuta Saxena ◽

Kristina Lerman ◽

Aram Galstyan

Keyword(s):

Artificial Intelligence ◽

Machine Learning ◽

Deep Learning ◽

Real World ◽

State Of The Art ◽

Future Directions ◽

Discriminatory Behavior ◽

Real World Applications ◽

Near Future ◽

Different Sources

With the widespread use of artificial intelligence (AI) systems and applications in our everyday lives, accounting for fairness has gained significant importance in designing and engineering of such systems. AI systems can be used in many sensitive environments to make important and life-changing decisions; thus, it is crucial to ensure that these decisions do not reflect discriminatory behavior toward certain groups or populations. More recently some work has been developed in traditional machine learning and deep learning that address such challenges in different subdomains. With the commercialization of these systems, researchers are becoming more aware of the biases that these applications can contain and are attempting to address them. In this survey, we investigated different real-world applications that have shown biases in various ways, and we listed different sources of biases that can affect AI applications. We then created a taxonomy for fairness definitions that machine learning researchers have defined to avoid the existing bias in AI systems. In addition to that, we examined different domains and subdomains in AI showing what researchers have observed with regard to unfair outcomes in the state-of-the-art methods and ways they have tried to address them. There are still many future directions and solutions that can be taken to mitigate the problem of bias in AI systems. We are hoping that this survey will motivate researchers to tackle these issues in the near future by observing existing work in their respective fields.

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