scholarly journals Current state and future direction of task shifting in obstetric and gynecological care

Medicine ◽  
2022 ◽  
Vol 101 (2) ◽  
pp. e28467
Author(s):  
Masatoshi Ishikawa
Keyword(s):  
Task Shifting ◽  
Current State ◽  
Gynecological Care ◽  
Future Direction

A Comprehensive Analysis of Image Forensics Techniques: Challenges and future Direction

2019 ◽  
Vol 13 ◽  
Author(s):  
Mohd Dilshad Ansari ◽  
Ekbal Rashid ◽  
S Siva Skandha ◽  
Suneet Kumar Gupta
Keyword(s):  
Image Forensics ◽  
Digital Era ◽  
Current State ◽  
Benchmark Datasets ◽  
Passive Authentication ◽  
Prime Objective ◽  
Future Direction ◽  
Source Of Information ◽  
Research Domain ◽  
Open Issues

Background: image forensics deal with the problem of authentication of pictures or their origins. There are two types of forensics techniques namely active and passive. Passive forgery is also known as blind forensics technique. In passive forgery, copy-move (cloning) image forensics is most common forgery technique. In this approach, an object or region of a picture is copied and positioned somewhere else in the same image. Active method used watermarking to solve picture genuineness problem. It has limitations like human involvement or particularly equipped cameras. To overwhelm these limitations, numerous passive authentication approaches have been developed. Moreover, both approaches do not require any prior information about the picture. Objective: The prime objective of this survey is to provide an inclusive summary as well as recent advancement, challenges and future direction in image forensics. In Today’s digital era the digital pictures and videos are having great impact on our life as well as society, as they became the important source of information. Though earlier it was very difficult to doctor the picture, nowadays digital pictures can be doctored easily with the help of editing tools and internet. These practices make pictures as well as videos genuineness deceptive. Conclusion: This paper presents the current state-of- the-art of passive (cloning) image forensics techniques, challenges and future direction of this research domain. Further, the major open issues in developing a robust cloning image forensics detector with their performance are discussed. Lastly, the available benchmark datasets are also discussed

Literature Synthesis on Evaluative Measures in Healthcare Simulation

2012 ◽  
Vol 4 (3) ◽  
pp. 38-48
Author(s):  
Timothy W. Meyers
Keyword(s):  
Qualitative And Quantitative ◽  
Quantitative Studies ◽  
Current State ◽  
Learning Domains ◽  
Healthcare Simulation ◽  
Literature Synthesis ◽  
Good Grasp ◽  
History Of ◽  
Future Direction ◽  
Meta Analyses

Whereas most educators have a good grasp on the history of simulation in healthcare, the current state and types of modalities related to simulation in healthcare education, and the future direction of healthcare simulation, many educators do not have an in-depth understanding of the metrics available to assess the use of simulation. The purpose of this literature synthesis is to build a repository of the metrics being used to evaluate nursing and healthcare provider simulation. Additionally, the level of fidelity and desired learning domains that the matrices purport to evaluate is examined. A secondary purpose of the literature synthesis is to determine if a suitable metric is available that can be used universally to evaluate nursing and healthcare related simulations. Finally, conceptual frameworks suitable for serving as the bases of instrument development related to nursing and health care simulation are explored. Primary studies, meta-analyses, and systematic reviews that discussed or evaluated metrics used to measure outcomes of simulation were analyzed. Recent articles, published within the last five years, which discussed the evaluation of nursing and or healthcare simulation, were eligible for inclusion. Additionally, descriptive, inferential, qualitative, and quantitative studies were eligible for inclusion.

Predictive Models in Urology

2013 ◽  
Vol 80 (1) ◽  
pp. 42-45 ◽  
Author(s):  
Andrea Cestari
Keyword(s):  
Artificial Intelligence ◽  
Neural Networks ◽  
Predictive Modeling ◽  
Predictive Models ◽  
Machine Intelligence ◽  
Health Records ◽  
Knowledge Based ◽  
Current State ◽  
Computer Based ◽  
Future Direction

Predictive modeling is emerging as an important knowledge-based technology in healthcare. The interest in the use of predictive modeling reflects advances on different fronts such as the availability of health information from increasingly complex databases and electronic health records, a better understanding of causal or statistical predictors of health, disease processes and multifactorial models of ill-health and developments in nonlinear computer models using artificial intelligence or neural networks. These new computer-based forms of modeling are increasingly able to establish technical credibility in clinical contexts. The current state of knowledge is still quite young in understanding the likely future direction of how this so-called ‘machine intelligence’ will evolve and therefore how current relatively sophisticated predictive models will evolve in response to improvements in technology, which is advancing along a wide front. Predictive models in urology are gaining progressive popularity not only for academic and scientific purposes but also into the clinical practice with the introduction of several nomograms dealing with the main fields of onco-urology.

Transplantation and Surgery: A Discussion on the Current and Future Direction of Renal Transplantation

2018 ◽  
Vol 8 (1) ◽  
pp. 9-13
Author(s):  
Nikhile Mookerji ◽  
Gurpreet Malhi
Keyword(s):  
Minimally Invasive Surgery ◽  
Renal Transplantation ◽  
Minimally Invasive ◽  
Invasive Surgery ◽  
Associate Professor ◽  
University Of British Columbia ◽  
Current State ◽  
Mcgill University ◽  
Future Direction ◽  
The University

Dr. Jeff  Warren, MD, FRCPC, is an associate professor at the University of Ottawa within the Department of Surgery, Division of Urology. He has been a staff Urologist since 2009 and obtained his fellowship in multi-organ transplants, including kidneys and pancreases, from the University of Western Ontario. He received his MD from the University of Ottawa in 2002 and also completed his residency at the University of Ottawa in 2007. He is currently the head of surgical foundations for all surgical residency programs at the University of Ottawa. His clinical interests are in kidney transplantation surgery, minimally invasive surgery, and medical education. Dr. Tom Skinner, MD, FRCPC, is a transplant fellow at the University of Ottawa within the Department of Surgery, Division of Urology. He received his MD from Dalhousie University in 2012 and completed his Urology residency at Queen’s University in 2017. He has a BSc. from the University of British Columbia and a MSc. from McGill University. His clinical interests are in minimally invasive surgery, renal transplantation, surgical education, and healthcare economics. During this interview, Dr. Skinner and Dr. Warren discuss the current state of transplant surgery, the biggest challenges to transplanting patients, and the future of the specialty. They also discuss robotic surgery and the Spanish model for organ donation.

Laser Welding of Titanium and its Alloys for Medical Applications: Current Knowledge and Future Direction

2009 ◽  
Vol 618-619 ◽  
pp. 291-294 ◽  
Author(s):  
Alexander Buddery ◽  
Matthew S. Dargusch ◽  
David H. StJohn ◽  
John Drennan ◽  
Samih Nabulsi
Keyword(s):  
Laser Welding ◽  
Current Knowledge ◽  
Medical Applications ◽  
Current State ◽  
State Of Research ◽  
Future Direction

This paper outlines the current state of research into laser welding of titanium and its alloys for medical applications. The differences that exist between the medical and other industries are described and a direction for advancing research in this field is proposed.

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