Artificial intelligence—Developments in medicine in the last two years

Galimova, Rezida Maratovna; Buzaev, Igor V.; Ramilevich, Kireev Ayvar; Yuldybaev, Lev Khadyevich; Shaykhulova, Aigul Fazirovna

doi:10.1016/j.cdtm.2018.11.004

Cited by 11 publications

(8 citation statements)

References 34 publications

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“…Artificial intelligence can be described as a system’s ability to correctly interpret external data, learn from such data, and use those learnings to achieve tasks via flexible adaption [ 6 , 8 , 28 , 43 , 44 ]. In the case of direct patient care, the application of artificial intelligence principles can be grouped into machine learning and natural language processing.…”

Section: Resultsmentioning

confidence: 99%

“…Thus, machine learning streamlines structured data such as imaging, medical history, or histopathologic results to attempt to cluster a patient’s traits and act upon it, while natural language processing methods extract information from unstructured data to supply addition to available data settings [ 28 , 45 ]. Therefore, the potential for artificial intelligence in healthcare is predominantly seen in leveraging performance and efficiency, enhancing clinical decision quality, actively managing specific health populations, and empowering patients and providers [ 6 , 8 , 28 , 43 , 44 , 46 , 47 ]. As such, an artificial intelligence system is able to evaluate masses of data through algorithmic analysis to encompass automation [ 48 ].…”

Section: Resultsmentioning

confidence: 99%

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Use Case Evaluation and Digital Workflow of Breast Cancer Care by Artificial Intelligence and Blockchain Technology Application

et al. 2022

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This study aims at evaluating the use case potential of breast cancer care for artificial intelligence and blockchain technology application based on the patient data analysis at Marburg University Hospital and, thereupon, developing a digital workflow for breast cancer care. It is based on a retrospective descriptive data analysis of all in-patient breast and ovarian cancer patients admitted at the Department of Gynecology of Marburg University Hospital within the five-year observation period of 2017 to 2021. According to the German breast cancer guideline, the care workflow was visualized and, thereon, the digital concept was developed, premised on the literature foundation provided by a Boolean combination open search. Breast cancer cases display a lower average patient case complexity, fewer secondary diagnoses, and performed procedures than ovarian cancer. Moreover, 96% of all breast cancer patients originate from a city with direct geographical proximity. Estimated circumference and total catchment area of ovarian present 28.6% and 40% larger, respectively, than for breast cancer. The data support invasive breast cancer as a preferred use case for digitization. The digital workflow based on combined application of artificial intelligence as well as blockchain or distributed ledger technology demonstrates potential in tackling senological care pain points and leveraging patient data safety and sovereignty.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Use Case Evaluation and Digital Workflow of Breast Cancer Care by Artificial Intelligence and Blockchain Technology Application

et al. 2022

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“…ANNs mimic the organization and processing capabilities of the human brain. They possess "artificial neurons", referred to 1 University of Arizona College of Medicine Phoenix, AZ, USA as "nodes", that process data. 6 ANNs are arranged generally in three major layers: input, hidden, and output.…”

Section: Glossarymentioning

confidence: 99%

“…AI is the latest technologic advance in medicine, with research studies being conducted across most medical specialties. 1 The ICU is an area of medicine that is especially amenable to AI applications, due to the high volume of complex data that are collected daily and used to influence life-critical decisions. 2 Herein, we review the basics of AI, then discuss current practical applications of AI in the ICU, proof-of-concept studies, other up-to-date AI research, and briefly examine how AI might affect ICU physicians in the areas of litigation and medical education.…”

Section: Introductionmentioning

confidence: 99%

AI in the Intensive Care Unit: Up-to-Date Review

Nguyen

Ngo

vanSonnenberg

2020

J Intensive Care Med

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AI is the latest technologic trend that likely will have a huge impact in medicine. AI’s potential lies in its ability to process large volumes of data and perform complex pattern analyses. The ICU is an area of medicine that is particularly conducive to AI applications. Much AI ICU research currently is focused on improving high volumes of data on high-risk patients and making clinical workflow more efficient. Emerging topics of AI medicine in the ICU include AI sensors, sepsis prediction, AI in the NICU or SICU, and the legal role of AI in medicine. This review will cover the current applications of AI medicine in the ICU, potential pitfalls, and other AI medicine-related topics relevant for the ICU.

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“…It has the potential to highlight hidden relationships and patterns between medical data sets. These patterns can be used to improve medical diagnosis and drug recommendation services by providing a better understanding of the interaction between drugs and diseases [19]. In the world of computer science, Arti icial Intelligence (AI) refers to the development of computer systems that are able to demonstrate machine intelligence.…”

Section: Related Workmentioning

confidence: 99%

Web application for self-diagnosis and drug recommendation based on user symptoms

2019

J. adv. tec. eng. res.

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Throughout the evolution of the Internet and social networks, forums and online platforms have a vital role in sharing information, along with the creation and engagement of virtual communities. Such websites represent great resources, and they are the irst step in the adoption of e-health services. When the persons are ill, many of them use search engines for self-diagnosis and gather possible treatment ideas before asking for a doctor's opinion. This takes a lot of time because the information is scattered across various forums and websites. In this paper is presented an application that aims to provide an online self-diagnosis and drug recommendation tool based on natural language processing of the symptoms described by the user. Over 2,200 medicines are stored in the database, each having a set of keywords according to their usage. Thus, the platform automates the search process, and provides the user with the most relevant information, eliminating the need for manual data interpretation. The results are ranked according to the con idence score obtained after the execution of the fuzzy search algorithm. The platform does not provide medical advice. Thus it is intended for informational purposes only. The developed platform is not a substitute for professional medical advice, diagnosis or treatment. Another feature of the platform is that it enables users to ind hospitals and clinics around them, so that they can receive professional healthcare service. The ield of medicine is a sensitive topic due to the fact that one mistake could lead to the loss of countless human lives. It was a long and dif icult journey to reach the current state of medicine, but technology was and will remain essential to the evolution of the healthcare system. The proposed solution of this paper is customized for Romania but it can be adapted for other countries by replacing the drug database.

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Artificial intelligence—Developments in medicine in the last two years

Cited by 11 publications

References 34 publications

Use Case Evaluation and Digital Workflow of Breast Cancer Care by Artificial Intelligence and Blockchain Technology Application

Use Case Evaluation and Digital Workflow of Breast Cancer Care by Artificial Intelligence and Blockchain Technology Application

AI in the Intensive Care Unit: Up-to-Date Review

Web application for self-diagnosis and drug recommendation based on user symptoms

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