scholarly journals Artificial Intelligence: Its future in the health sector and its role for medical education

2021 ◽  
Vol 10 (1) ◽  
Author(s):  
Peter A. Henning ◽  
Jacqueline Henning ◽  
Katharina Glück
Keyword(s):  
Artificial Intelligence ◽  
Medical Education ◽  
Health Sector

scholarly journals Artificial intelligence-based education assists medical students’ interpretation of hip fracture

2020 ◽  
Vol 11 (1) ◽  
Author(s):  
Chi-Tung Cheng ◽  
Chih-Chi Chen ◽  
Chih-Yuan Fu ◽  
Chung-Hsien Chaou ◽  
Yu-Tung Wu ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Medical Education ◽  
Hip Fracture ◽  
Medical Students ◽  
Medical Image ◽  
Learning System ◽  
Significant Difference ◽  
Dynamic Collaboration ◽  
Increase In Accuracy ◽  
Image Learning

Abstract Background With recent transformations in medical education, the integration of technology to improve medical students’ abilities has become feasible. Artificial intelligence (AI) has impacted several aspects of healthcare. However, few studies have focused on medical education. We performed an AI-assisted education study and confirmed that AI can accelerate trainees’ medical image learning. Materials We developed an AI-based medical image learning system to highlight hip fracture on a plain pelvic film. Thirty medical students were divided into a conventional (CL) group and an AI-assisted learning (AIL) group. In the CL group, the participants received a prelearning test and a postlearning test. In the AIL group, the participants received another test with AI-assisted education before the postlearning test. Then, we analyzed changes in diagnostic accuracy. Results The prelearning performance was comparable in both groups. In the CL group, postlearning accuracy (78.66 ± 14.53) was higher than prelearning accuracy (75.86 ± 11.36) with no significant difference (p = .264). The AIL group showed remarkable improvement. The WithAI score (88.87 ± 5.51) was significantly higher than the prelearning score (75.73 ± 10.58, p < 0.01). Moreover, the postlearning score (84.93 ± 14.53) was better than the prelearning score (p < 0.01). The increase in accuracy was significantly higher in the AIL group than in the CL group. Conclusion The study demonstrated the viability of AI for augmenting medical education. Integrating AI into medical education requires dynamic collaboration from research, clinical, and educational perspectives.

Artificial Intelligence in Medical Education

2021 ◽  
Vol 58 (5) ◽  
pp. 496-497
Author(s):  
Baljeet Maini ◽  
Ekta Maini
Keyword(s):  
Artificial Intelligence ◽  
Medical Education

Fulfilling the Promise of Artificial Intelligence in the Health Sector: Let’s Get Real

2022 ◽  
Author(s):  
Tiago Cravo Oliveira Hashiguchi ◽  
Jillian Oderkirk ◽  
Luke Slawomirski
Keyword(s):  
Artificial Intelligence ◽  
Health Sector

scholarly journals Health Care Employees’ Perceptions of the Use of Artificial Intelligence Applications: Survey Study

10.2196/17620 ◽  
2020 ◽  
Vol 22 (5) ◽  
pp. e17620 ◽  
Author(s):  
Rana Abdullah ◽  
Bahjat Fakieh
Keyword(s):  
Artificial Intelligence ◽  
Health Care ◽  
Saudi Arabia ◽  
Health Sector ◽  
Employee Perceptions ◽  
Market Potential ◽  
Human Interaction ◽  
Survey Study ◽  
Health Care Information ◽  
Online Questionnaire

Background The advancement of health care information technology and the emergence of artificial intelligence has yielded tools to improve the quality of various health care processes. Few studies have investigated employee perceptions of artificial intelligence implementation in Saudi Arabia and the Arabian world. In addition, limited studies investigated the effect of employee knowledge and job title on the perception of artificial intelligence implementation in the workplace. Objective The aim of this study was to explore health care employee perceptions and attitudes toward the implementation of artificial intelligence technologies in health care institutions in Saudi Arabia. Methods An online questionnaire was published, and responses were collected from 250 employees, including doctors, nurses, and technicians at 4 of the largest hospitals in Riyadh, Saudi Arabia. Results The results of this study showed that 3.11 of 4 respondents feared artificial intelligence would replace employees and had a general lack of knowledge regarding artificial intelligence. In addition, most respondents were unaware of the advantages and most common challenges to artificial intelligence applications in the health sector, indicating a need for training. The results also showed that technicians were the most frequently impacted by artificial intelligence applications due to the nature of their jobs, which do not require much direct human interaction. Conclusions The Saudi health care sector presents an advantageous market potential that should be attractive to researchers and developers of artificial intelligence solutions.

Internet of Technological Transformation and Objects: I Robot Movie Analysis and Covid-19 Artificial Intelligence Robots

2021 ◽  
Author(s):  
Nimet Özsevinç
Keyword(s):  
Artificial Intelligence ◽  
New Media ◽  
Health Sector ◽  
Technological Transformation ◽  
Use Of Technology ◽  
The Social ◽  
Technological Means ◽  
Consumer Habits ◽  
Global Health Problem

With technological transformations, we change our roles with the machines in the present conditions of our sociological, psychological, economic, cultural structures. The use of technology widespread with the effect of capitalism increases our commitment to the technological tools we receive to the center of our lives. The social media revolution that has become a vital part with the new media causes us to integrate with technological means and shows that they have the power to change our communication forms. In particular, the binding of objects with internet providers, manipulates us, use and to our satisfaction. Our developing and continuously changing technology has the effects of our culture, personalities, consumer habits and the perceptions of us by changing our needs. Within the scope of this study, it is emphasized on the concept of the transformation of the technology, and the effects of the objects are made on the fact of the internet (IOT). At the same time, the analysis of this concept is analyzed the epidemic film related to the use of the health sector. The role of the artificial intelligence robots used in the fight against Covid-19, which is described as a global health problem, the role used in the challenge of this technology used to examine the benefits and damages of this technology used.

Mobile-based learning of drug prescription for medical education using artificial intelligence techniques

2021 ◽  
Vol 15 (4) ◽  
pp. 392
Author(s):  
Jianming Yong ◽  
Elizabeth Zhixin Goh ◽  
Xiaohui Tao ◽  
Wee Pheng Goh ◽  
Xueling Oh ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Medical Education ◽  
Drug Prescription ◽  
Artificial Intelligence Techniques

Artificial Intelligence in Medical Education: Best Practices Using Machine Learning to Assess Surgical Expertise in Virtual Reality Simulation

2019 ◽  
Vol 76 (6) ◽  
pp. 1681-1690 ◽  
Author(s):  
Alexander Winkler-Schwartz ◽  
Vincent Bissonnette ◽  
Nykan Mirchi ◽  
Nirros Ponnudurai ◽  
Recai Yilmaz ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Medical Education ◽  
Virtual Reality ◽  
Best Practices ◽  
Virtual Reality Simulation ◽  
Surgical Expertise

scholarly journals Deconstructing Canada’s efforts to integrate artificial intelligence in medicine and medical education

2021 ◽  
Vol 19 (1) ◽  
Author(s):  
Semsi Kocabas ◽  
Elif Bilgic ◽  
Andrew Gorgy ◽  
Jason Harley
Keyword(s):  
Artificial Intelligence ◽  
Medical Education ◽  
Extracurricular Activities ◽  
Interdisciplinary Collaboration ◽  
Critical Role ◽  
Medical Community ◽  
Undergraduate Medical Students ◽  
Medical Practitioners ◽  
Medical Associations ◽  
New Policies

Artificial intelligence (AI) has gained momentum in the last decade in various professional domains, but its usage remains scarce in the field of medicine. Available AI-enhanced devices are not integrated in a consistent fashion throughout Canadian health facilities, and current medical practitioners and students are not well prepared for AI’s impact on their careers. Undergraduate medical students lack fundamental knowledge of AI in medicine, from its impact on patient care and its potential as an adjunct decision-making tool, to the general fundamentals of how AI-enhanced devices work. Currently, postgraduates don’t have access to AI-enhanced devices; this could potentially limit their understanding of how these devices might affect their future clinical practice. Canadian medical universities can play a critical role in familiarizing students with these new devices. Incorporating new topics into the already heavily charged medical curricula may be challenging, but students could make use of extracurricular activities to learn the concept of AI and strengthen interdisciplinary collaboration. Educational institutions would also need to propose policies for the safe and ethical use of devices in classrooms or internships. However, they might require guidance to draft new policies targeting AI in medical education. Canadian medical associations could take the lead to draft AI policies in healthcare to guide the equal and safe implementation of AI-enhanced devices across the Canadian medical community. Our paper will explore the work that has been done related to AI-specific policies in healthcare, focusing on Canada, and provide key points that could be used to organize future policies.

scholarly journals Balancing risks and benefits of artificial intelligence in the health sector

2020 ◽  
Vol 98 (4) ◽  
pp. 230-230A ◽  
Author(s):  
Kenneth Goodman ◽  
Diana Zandi ◽  
Andreas Reis ◽  
Effy Vayena
Keyword(s):  
Artificial Intelligence ◽  
Health Sector ◽  
Risks And Benefits

scholarly journals Health Care Employees’ Perceptions of the Use of Artificial Intelligence Applications: Survey Study (Preprint)

2019 ◽  
Author(s):  
Rana Abdullah ◽  
Bahjat Fakieh
Keyword(s):  
Artificial Intelligence ◽  
Health Care ◽  
Saudi Arabia ◽  
Health Sector ◽  
Employee Perceptions ◽  
Market Potential ◽  
Human Interaction ◽  
Survey Study ◽  
Health Care Information ◽  
Online Questionnaire

BACKGROUND The advancement of health care information technology and the emergence of artificial intelligence has yielded tools to improve the quality of various health care processes. Few studies have investigated employee perceptions of artificial intelligence implementation in Saudi Arabia and the Arabian world. In addition, limited studies investigated the effect of employee knowledge and job title on the perception of artificial intelligence implementation in the workplace. OBJECTIVE The aim of this study was to explore health care employee perceptions and attitudes toward the implementation of artificial intelligence technologies in health care institutions in Saudi Arabia. METHODS An online questionnaire was published, and responses were collected from 250 employees, including doctors, nurses, and technicians at 4 of the largest hospitals in Riyadh, Saudi Arabia. RESULTS The results of this study showed that 3.11 of 4 respondents feared artificial intelligence would replace employees and had a general lack of knowledge regarding artificial intelligence. In addition, most respondents were unaware of the advantages and most common challenges to artificial intelligence applications in the health sector, indicating a need for training. The results also showed that technicians were the most frequently impacted by artificial intelligence applications due to the nature of their jobs, which do not require much direct human interaction. CONCLUSIONS The Saudi health care sector presents an advantageous market potential that should be attractive to researchers and developers of artificial intelligence solutions.

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