scholarly journals Artificial Intelligence in Cranial Surgeries

2021 ◽  
Vol 2 (9) ◽  
pp. 849-850
Author(s):  
Sabrina Rahman ◽  
Raphia Rahman ◽  
Mohammed Maan Al-Salihi ◽  
Ivan David Lozada-Martinez ◽  
Md Moshiur Rahman
Keyword(s):  
Artificial Intelligence ◽  
Potential Role ◽  
Brain Surgery ◽  
Medical Field ◽  
Human Intellect

Artificial Intelligence (AI) is a broad phrase that refers to any machine’s activity that would otherwise need human intellect.Recent technological advancements have closed the gap between human and machines, allowing computers to replicate natural human intellect and produce “artificial intelligence”. Neurosurgery has benefited the most from AI-driven technology advancements in the medical field. It’s frightening to think that a computer may be taught or self-taught how to do spine or brain surgery. Embracing this technology will allow us to provide the best possible care for our patients, and its potential role in neurosurgery is intriguing.

Attitudes of Medical Workers Toward Artificial Intelligence in Ophthalmology: A Comparative Survey (Preprint)

2020 ◽  
Author(s):  
Weihua Yang ◽  
Bo Zheng ◽  
Maonian Wu ◽  
Shaojun Zhu ◽  
Hongxia Zhou ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Medical Ethics ◽  
Online Survey ◽  
Medical Professionals ◽  
Medical Field ◽  
Acceptance Level ◽  
Professional Workers ◽  
Basic Understanding ◽  
Comparative Survey ◽  
Definition Of

BACKGROUND Artificial intelligence (AI) is widely applied in the medical field, especially in ophthalmology. In the development of ophthalmic artificial intelligence, some problems worthy of attention have gradually emerged, among which the ophthalmic AI-related recognition issues are particularly prominent. That is to say, currently, there is a lack of research into people's familiarity with and their attitudes toward ophthalmic AI. OBJECTIVE This survey aims to assess medical workers’ and other professional technicians’ familiarity with AI, as well as their attitudes toward and concerns of ophthalmic AI. METHODS An electronic questionnaire was designed through the Questionnaire Star APP, an online survey software and questionnaire tool, and was sent to relevant professional workers through Wechat, China’s version of Facebook or WhatsApp. The participation was based on a voluntary and anonymous principle. The questionnaire mainly consisted of four parts, namely the participant’s background, the participant's basic understanding of AI, the participant's attitude toward AI, and the participant's concerns about AI. A total of 562 participants were counted, with 562 valid questionnaires returned. The results of the questionnaires are displayed in an Excel 2003 form. RESULTS A total of 562 professional workers completed the questionnaire, of whom 291 were medical workers and 271 were other professional technicians. About 37.9% of the participants understood AI, and 31.67% understood ophthalmic AI. The percentages of people who understood ophthalmic AI among medical workers and other professional technicians were about 42.61% and 15.6%, respectively. About 66.01% of the participants thought that ophthalmic AI would partly replace doctors, with about 59.07% still having a relatively high acceptance level of ophthalmic AI. Meanwhile, among those with ophthalmic AI application experiences (30.6%), respectively about 84.25% of medical professionals and 73.33% of other professional technicians held a full acceptance attitude toward ophthalmic AI. The participants expressed concerns that ophthalmic AI might bring about issues such as the unclear definition of medical responsibilities, the difficulty of ensuring service quality, and the medical ethics risks. And among the medical workers and other professional technicians who understood ophthalmic AI, 98.39%, and 95.24%, respectively, said that there was a need to increase the study of medical ethics issues in the ophthalmic AI field. CONCLUSIONS Analysis of the questionnaire results shows that the medical workers have a higher understanding level of ophthalmic AI than other professional technicians, making it necessary to popularize ophthalmic AI education among other professional technicians. Most of the participants did not have any experience in ophthalmic AI, but generally had a relatively high acceptance level of ophthalmic AI, believing that doctors would partly be replaced by it and that there was a need to strengthen research into medical ethics issues of the field.

Roadmap to Artificial Intelligence and Intellectual PropertyAn Introduction

2021 ◽  
pp. 1-8
Author(s):  
Jyh-An Lee ◽  
Reto M Hilty ◽  
Kung-Chung Liu
Keyword(s):  
Artificial Intelligence ◽  
Intellectual Property ◽  
Driving Force ◽  
Human Beings ◽  
Legal Subjects ◽  
Human Intellect ◽  
Ip Law ◽  
Creativity And Innovation ◽  
The Relationship

This introductory chapter provides an overview of the relationship between artificial intelligence (AI) and intellectual property (IP). While human beings have used various instruments and technologies to create and innovate, they themselves have been the main driving force of creativity and innovation. AI puts that into question, raising numerous challenges to the existing IP regime. Traditionally, the “intellectual” part of “intellectual property” refers to human intellect. However, since machines have become intelligent and are increasingly capable of making creative, innovative choices based on opaque algorithms, the “intellectual” in “intellectual property” turns out to be perplexing. Existing human-centric IP regimes based on promoting incentives and avoiding disincentives may no longer be relevant—or even positively detrimental—if AI comes into play. Moreover, AI has sparked new issues in IP law regarding legal subjects, scope, standards of protection, exceptions, and relationships between actors.

Taming Artificial Intelligence in Psychiatry and Pain Medicine

2020 ◽  
pp. 399-412
Author(s):  
Usef Faghihi ◽  
Sioui Maldonado-Bouchard ◽  
Mario Incayawar
Keyword(s):  
Artificial Intelligence ◽  
United States ◽  
Health Care ◽  
Deep Learning ◽  
State Of The Art ◽  
Daily Life ◽  
Health Care Sector ◽  
Human Cells ◽  
Pain Medicine ◽  
Medical Field

Today, deep learning (DL) algorithms are intertwined with our daily life. This subdomain of artificial intelligence (AI) technology is used to unlock your phone by only detecting your face, find the best path from work to your home or vice versa, or detect anomalies in the human cells taken for lab tests. Yet, although AI technology is helping in many fields, whether it has done so in the medical field is debatable. DL lacks reasoning; it is unable to determine the causes of events. This is especially crucial when it comes to the health care sector. At this point, computers cannot help physicians with their duties. On the contrary, they are the cause of burnout in more than half of physicians in United States. One of the causes of burnout repeatedly pointed out by physicians is the digitalization of medicine. This chapter presents some of the AI approaches that could help physicians. It also discusses the current limitations and dangers inherent to many of today’s state-of-the-art AI systems. The authors provide some ideas about the future of AI in pain medicine and psychiatry.

scholarly journals Application of Artificial Intelligence Technology in Oncology: Towards the Establishment of Precision Medicine

Cancers ◽  
2020 ◽  
Vol 12 (12) ◽  
pp. 3532 ◽  
Author(s):  
Ryuji Hamamoto ◽  
Kruthi Suvarna ◽  
Masayoshi Yamada ◽  
Kazuma Kobayashi ◽  
Norio Shinkai ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Precision Medicine ◽  
Medical Devices ◽  
The United States ◽  
Medical Data ◽  
Clinical Implementation ◽  
Medical Field ◽  
Core Technology ◽  
Artificial Intelligence Technology ◽  
History Of

In recent years, advances in artificial intelligence (AI) technology have led to the rapid clinical implementation of devices with AI technology in the medical field. More than 60 AI-equipped medical devices have already been approved by the Food and Drug Administration (FDA) in the United States, and the active introduction of AI technology is considered to be an inevitable trend in the future of medicine. In the field of oncology, clinical applications of medical devices using AI technology are already underway, mainly in radiology, and AI technology is expected to be positioned as an important core technology. In particular, “precision medicine,” a medical treatment that selects the most appropriate treatment for each patient based on a vast amount of medical data such as genome information, has become a worldwide trend; AI technology is expected to be utilized in the process of extracting truly useful information from a large amount of medical data and applying it to diagnosis and treatment. In this review, we would like to introduce the history of AI technology and the current state of medical AI, especially in the oncology field, as well as discuss the possibilities and challenges of AI technology in the medical field.

scholarly journals Artificial intelligence: is there a potential role in nephropathology?

2020 ◽  
Author(s):  
Meyke Hermsen ◽  
Bart Smeets ◽  
Luuk Hilbrands ◽  
Jeroen van der Laak
Keyword(s):  
Artificial Intelligence ◽  
Potential Role

scholarly journals Physician Confidence in Artificial Intelligence: An Online Mobile Survey (Preprint)

2018 ◽  
Author(s):  
Songhee Oh ◽  
Jae Heon Kim ◽  
Sung-Woo Choi ◽  
Hee Jeong Lee ◽  
Jungrak Hong ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Online Survey ◽  
Medical Application ◽  
Disease Diagnosis ◽  
Medical Field ◽  
High Quality ◽  
Inadequate Information ◽  
Development Direction ◽  
The Future ◽  
Mobile Survey

BACKGROUND It is expected that artificial intelligence (AI) will be used extensively in the medical field in the future. OBJECTIVE The purpose of this study is to investigate the awareness of AI among Korean doctors and to assess physicians’ attitudes toward the medical application of AI. METHODS We conducted an online survey composed of 11 closed-ended questions using Google Forms. The survey consisted of questions regarding the recognition of and attitudes toward AI, the development direction of AI in medicine, and the possible risks of using AI in the medical field. RESULTS A total of 669 participants completed the survey. Only 40 (5.9%) answered that they had good familiarity with AI. However, most participants considered AI useful in the medical field (558/669, 83.4% agreement). The advantage of using AI was seen as the ability to analyze vast amounts of high-quality, clinically relevant data in real time. Respondents agreed that the area of medicine in which AI would be most useful is disease diagnosis (558/669, 83.4% agreement). One possible problem cited by the participants was that AI would not be able to assist in unexpected situations owing to inadequate information (196/669, 29.3%). Less than half of the participants(294/669, 43.9%) agreed that AI is diagnostically superior to human doctors. Only 237 (35.4%) answered that they agreed that AI could replace them in their jobs. CONCLUSIONS This study suggests that Korean doctors and medical students have favorable attitudes toward AI in the medical field. The majority of physicians surveyed believed that AI will not replace their roles in the future.

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