What do healthcare students want to know about artificial intelligence? A Canada-wide survey (Preprint)

2021 ◽  
Author(s):  
Minnie Teng ◽  
Rohit Singla ◽  
Olivia Yau ◽  
Daniel Lamoureux ◽  
Aurinjoy Gupta ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Medical Curriculum ◽  
Health Professions ◽  
Future Directions ◽  
Healthcare Students ◽  
Education Delivery ◽  
Nation Wide Survey ◽  
Positive Outlook ◽  
Insight Into

UNSTRUCTURED Artificial intelligence (AI) is no longer a futuristic concept; it is increasingly integrated into healthcare practice. Many recent commentaries indicated the need to introduce AI literacy training into medical curriculum. However, little is known about what students want to learn about AI, and even less is known from healthcare students outside of medicine. We performed a nation-wide survey of healthcare students across 10 different health professions in Canada. 2167 students across 10 different health professions from 18 universities across Canada responded to the survey. The majority (80%) predicted that AI technology will impact their careers within the coming decade, and 72% reported a positive outlook towards the emerging role of AI in their respective fields. Attitudes towards AI varied by discipline. Findings inform student-identified gaps in knowledge and preferred education delivery formats. This study adds to current literature as it is the first to explore what healthcare students want to learn about AI, and provides insight into future directions for collaboration among sectors such as healthcare, education, and industry.

scholarly journals Trusted Partners: Human-Machine Teaming and the Future of Military AI

2021 ◽  
Author(s):  
Margarita Konaev ◽  
Tina Huang ◽  
Husanjot Chahal
Keyword(s):  
Artificial Intelligence ◽  
Future Directions ◽  
The Future ◽  
The U.S

As the U.S. military integrates artificial intelligence into its systems and missions, there are outstanding questions about the role of trust in human-machine teams. This report examines the drivers and effects of such trust, assesses the risks from too much or too little trust in intelligent technologies, reviews efforts to build trustworthy AI systems, and offers future directions for research on trust relevant to the U.S. military.

Artificial Intelligence in Education

2021 ◽  
pp. 256-277
Author(s):  
Rashmi Khazanchi ◽  
Pankaj Khazanchi
Keyword(s):  
Artificial Intelligence ◽  
Intelligent Tutoring Systems ◽  
Intelligent Tutoring ◽  
Pedagogical Practices ◽  
Student Centered ◽  
Tutoring Systems ◽  
Artificial Intelligence In Education ◽  
K 12 ◽  
Insight Into

Current educational developments in theories and practices advocate a more personalized, student-centered approach to teach 21st-century skills. However, the existing pedagogical practices cannot provide optimal student engagement as they follow a ‘one size fits all' approach. How can we provide high-quality adaptive instructions at a personalized level? Intelligent tutoring systems with embedded artificial intelligence can assist both students and teachers in providing personalized support. This chapter highlights the role of artificial intelligence in the development of intelligent tutoring systems and how these are providing personalized instructions to students with and without disabilities. This chapter gives insight into the challenges and barriers posed by the integration of intelligent tutoring systems in K-12 classrooms.

An insight into the role of Artificial Intelligence in the early diagnosis of Alzheimer’s disease

2021 ◽  
Vol 20 ◽  
Author(s):  
Rohit Kumar Verma ◽  
Manisha Pandey ◽  
Pooja Chawla ◽  
Hira Choudhury ◽  
Jayashree Mayuren ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Early Diagnosis ◽  
Symptomatic Relief ◽  
Large Data ◽  
Successful Implementation ◽  
Clinical Implementation ◽  
Insight Into

Background: The complication of Alzheimer’s disease (AD) has made the development of its therapeutic a challenging task. Even after decades of research, we have achieved no more than a few years of symptomatic relief. The inability to diagnose the disease early is the foremost hurdle behind its treatment. Several studies have aimed to identify potential biomarkers that can be detected in body fluids (CSF, blood, urine, etc) or assessed by neuroimaging (i.e., PET and MRI). However, the clinical implementation of these biomarkers is incomplete as they cannot be validated. Method: To overcome the limitation, the use of artificial intelligence along with technical tools has been extensively investigated for AD diagnosis. For developing a promising artificial intelligence strategy that can diagnose AD early, it is critical to supervise neuropsychological outcomes and imaging-based readouts with a proper clinical review. Conclusion: Profound knowledge, a large data pool, and detailed investigations are required for the successful implementation of this tool. This review will enlighten various aspects of early diagnosis of AD using artificial intelligence.

scholarly journals The EVER Proteins as a Natural Barrier against Papillomaviruses: a New Insight into the Pathogenesis of Human Papillomavirus Infections

2009 ◽  
Vol 73 (2) ◽  
pp. 348-370 ◽  
Author(s):  
Maciej Lazarczyk ◽  
Patricia Cassonnet ◽  
Christian Pons ◽  
Yves Jacob ◽  
Michel Favre
Keyword(s):  
Life Cycles ◽  
Human Papillomaviruses ◽  
Zinc Homeostasis ◽  
Future Directions ◽  
Sexually Transmitted ◽  
Cellular Zinc ◽  
Insight Into ◽  
Oncogenic Hpv ◽  
Natural Barrier

SUMMARY Infections by human papillomaviruses (HPVs) are the most frequently occurring sexually transmitted diseases. The crucial role of genital oncogenic HPV in cervical carcinoma development is now well established. In contrast, the role of cutaneous HPV in skin cancer development remains a matter of debate. Cutaneous beta-HPV strains show an amazing ubiquity. The fact that a few oncogenic genotypes cause cancers in patients suffering from epidermodysplasia verruciformis is in sharp contrast to the unapparent course of infection in the general population. Our recent investigations revealed that a natural barrier exists in humans, which protects them against infection with these papillomaviruses. A central role in the function of this HPV-specific barrier is played by a complex of the zinc-transporting proteins EVER1, EVER2, and ZnT-1, which maintain cellular zinc homeostasis. Apparently, the deregulation of the cellular zinc balance emerges as an important step in the life cycles not only of cutaneous but also of genital HPVs, although the latter viruses have developed a mechanism by which they can break the barrier and impose a zinc imbalance. Herein, we present a previously unpublished list of the cellular partners of EVER proteins, which points to future directions concerning investigations of the mechanisms of action of the EVER/ZnT-1 complex. We also present a general overview of the pathogenesis of HPV infections, taking into account the latest discoveries regarding the role of cellular zinc homeostasis in the HPV life cycle. We propose a potential model for the mechanism of function of the anti-HPV barrier.

scholarly journals Living in Your Skin: Microbes, Molecules, and Mechanisms

2021 ◽  
Vol 89 (4) ◽  
Author(s):  
Mary Hannah Swaney ◽  
Lindsay R. Kalan
Keyword(s):  
Skin Barrier ◽  
Skin Microbiome ◽  
Future Directions ◽  
Pathogen Invasion ◽  
Skin Cells ◽  
Defensive Symbiosis ◽  
Skin Commensals ◽  
Skin Function ◽  
Insight Into

ABSTRACT Human skin functions as a physical, chemical, and immune barrier against the external environment while also providing a protective niche for its resident microbiota, known as the skin microbiome. Cooperation between the microbiota, host skin cells, and the immune system is responsible for maintenance of skin health, and a disruption to this delicate balance, such as by pathogen invasion or a breach in the skin barrier, may lead to impaired skin function. In this minireview, we describe the role of the microbiome in microbe, host, and immune interactions under distinct skin states, including homeostasis, tissue repair, and wound infection. Furthermore, we highlight the growing number of diverse microbial metabolites and products that have been identified to mediate these interactions, particularly those involved in host-microbe communication and defensive symbiosis. We also address the contextual pathogenicity exhibited by many skin commensals and provide insight into future directions in the skin microbiome field.

The role of artificial intelligence in robotics

2014 ◽  
Vol 41 (2) ◽  
pp. 119-123 ◽  
Author(s):  
Robert Bogue
Keyword(s):  
Artificial Intelligence ◽  
Design Methodology ◽  
Human Intelligence ◽  
General Intelligence ◽  
Rapid Progress ◽  
Significant Progress ◽  
Development Activity ◽  
Content Type ◽  
Insight Into

Purpose – This paper aims to provide an insight into the use of artificial intelligence (AI) in robotics. Design/methodology/approach – Following an introduction to AI, this paper provides an overview of the application of AI to robotics. Mobile robots are then discussed, together with the various AI techniques employed and under development. The application of the OpenCog artificial general intelligence architecture is then considered and the paper concludes with a brief discussion. Findings – This shows that many AI concepts are being applied to humanoid, mobile and other classes of robots. Significant progress has been made and many innovative AI strategies are being studied which often seek to emulate aspects of human intelligence. Much development activity is being driven by military interests but as yet, the level of intelligence exhibited by the most advanced robots is at best equivalent to that of a very young child. Several academics argue that more rapid progress will arise from a closer integration of AI and robotic research. Originality/value – This article discusses the role of AI in robotics and provides details of number of robotic developments involving a range of AI concepts.

scholarly journals Role of artificial intelligence in cloud computing, IoT and SDN: Reliability and scalability issues

2021 ◽  
Vol 11 (5) ◽  
pp. 4458
Author(s):  
Mohammad Riyaz Belgaum ◽  
Zainab Alansari ◽  
Shahrulniza Musa ◽  
Muhammad Mansoor Alam ◽  
M. S. Mazliham
Keyword(s):  
Artificial Intelligence ◽  
Cloud Computing ◽  
New Technologies ◽  
Research Gaps ◽  
Future Directions ◽  
Heterogeneous Devices ◽  
Key Technologies ◽  
Future Challenges ◽  
Efficiency Data

Information technology fields are now more dominated by artificial intelligence, as it is playing a key role in terms of providing better services. The inherent strengths of artificial intelligence are driving the companies into a modern, decisive, secure, and insight-driven arena to address the current and future challenges. The key technologies like cloud, internet of things (IoT), and software-defined networking (SDN) are emerging as future applications and rendering benefits to the society. Integrating artificial intelligence with these innovations with scalability brings beneficiaries to the next level of efficiency. Data generated from the heterogeneous devices are received, exchanged, stored, managed, and analyzed to automate and improve the performance of the overall system and be more reliable. Although these new technologies are not free of their limitations, nevertheless, the synthesis of technologies has been challenged and has put forth many challenges in terms of scalability and reliability. Therefore, this paper discusses the role of artificial intelligence (AI) along with issues and opportunities confronting all communities for incorporating the integration of these technologies in terms of reliability and scalability. This paper puts forward the future directions related to scalability and reliability concerns during the integration of the above-mentioned technologies and enable the researchers to address the current research gaps.

Ambulatory Monitoring of Daily Voice Use

2011 ◽  
Vol 21 (2) ◽  
pp. 56-61 ◽  
Author(s):  
Robert E. Hillman ◽  
Daryush D. Mehta
Keyword(s):  
State Of The Art ◽  
Ambulatory Monitoring ◽  
Vocal Behavior ◽  
Future Directions ◽  
Vocal Function ◽  
Current State ◽  
Voice Use ◽  
Insight Into

Many common voice disorders are chronic or recurring conditions likely to result from faulty and/or abusive patterns of vocal behavior. Such behaviorally based disorders can be difficult to assess accurately in the clinical setting and potentially could be much better characterized by long-term ambulatory monitoring of vocal function as individuals engage in their typical daily activities. Ambulatory monitoring also could provide new insight into the actual role of voice use in common disorders and missing quantitative data on what constitutes normal levels of daily voice use for different groups of individuals, activities, and occupations. This report describes the motivation, previous development efforts, current state-of-the-art technology, and future directions in ambulatory monitoring of voice use.

scholarly journals DIGITAL ORTHODONTICS- A CONTEMPORARY VIEW OF FUTURISTIC PRACTICE

2021 ◽  
Vol 9 (4) ◽  
pp. 723-732
Author(s):  
Ahmed Mohammed Alassiry ◽  
Keyword(s):  
Artificial Intelligence ◽  
Rapid Prototyping ◽  
Three Dimensional ◽  
Review Article ◽  
Technological Systems ◽  
The World ◽  
Virtual Treatment Planning ◽  
Insight Into ◽  
Virtual Treatment

The world is going digital and so is the speciality of orthodontics. The knowledge of computers is no longer rudimentary and the application of technology in orthodontics has grown exponentially. Conventional methods of running an orthodontic practice were limited and associated with multiple drawbacks. Owning and running a digital orthodontic practice is the need of the hour and necessity of the future. The aim of this review article is to encourage and promote the orthodontic community to integrate digital elements in their practice. This review article discusses in detail about the various aspects of digital orthodontics involving digital office, study models, three-dimensional imaging, rapid prototyping, virtual treatment planning, artificial intelligence and role of robots. This review article provides an insight into the capabilities and clinical application on currently available digital orthodontic technological systems.

Sign in / Sign up

Export Citation Format

Share Document