Applications of Artificial Intelligence (AI) in healthcare: A review

Shaheen, Mohammed Yousef

doi:10.14293/s2199-1006.1.sor-.ppvry8k.v1

Cited by 66 publications

(17 citation statements)

References 16 publications

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“…Dr. Hinton's quote envisions a world where much of the decision making in our lives is specialized AI. Healthcare and finance represent two areas where this change is believed to likely to occur rapidly (Aziz and Dowling, 2019 ; Shaheen, 2021 ). Algorithms may diagnose our diseases, predict our recovery, predict what are the best treatments, determine whether we get a loan, invest for us and determine the cost of goods and services.…”

Section: Forewordmentioning

confidence: 99%

Editorial: Explainable artificial intelligence models and methods in finance and healthcare

Caffo

D'Asaro²,

Garcez³

et al. 2022

Front. Artif. Intell.

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Section: Forewordmentioning

confidence: 99%

Editorial: Explainable artificial intelligence models and methods in finance and healthcare

Caffo

D'Asaro²,

Garcez³

et al. 2022

Front. Artif. Intell.

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“…Artificial intelligence (AI) is a well-known technology that has been used in every field from manufacturing industries to agriculture, healthcare to human resources, and gaming to businesses [ 55 , 56 , 57 , 58 , 59 ]. Artificial intelligence enables machines to mimic the human brain and it learns from the experience just like a human does.…”

Section: Metaverse Framework and Building Block Technologiesmentioning

confidence: 99%

Metaverse in Healthcare Integrated with Explainable AI and Blockchain: Enabling Immersiveness, Ensuring Trust, and Providing Patient Data Security

Ali

Abdullah

Armand

et al. 2023

Sensors

125

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Digitization and automation have always had an immense impact on healthcare. It embraces every new and advanced technology. Recently the world has witnessed the prominence of the metaverse which is an emerging technology in digital space. The metaverse has huge potential to provide a plethora of health services seamlessly to patients and medical professionals with an immersive experience. This paper proposes the amalgamation of artificial intelligence and blockchain in the metaverse to provide better, faster, and more secure healthcare facilities in digital space with a realistic experience. Our proposed architecture can be summarized as follows. It consists of three environments, namely the doctor’s environment, the patient’s environment, and the metaverse environment. The doctors and patients interact in a metaverse environment assisted by blockchain technology which ensures the safety, security, and privacy of data. The metaverse environment is the main part of our proposed architecture. The doctors, patients, and nurses enter this environment by registering on the blockchain and they are represented by avatars in the metaverse environment. All the consultation activities between the doctor and the patient will be recorded and the data, i.e., images, speech, text, videos, clinical data, etc., will be gathered, transferred, and stored on the blockchain. These data are used for disease prediction and diagnosis by explainable artificial intelligence (XAI) models. The GradCAM and LIME approaches of XAI provide logical reasoning for the prediction of diseases and ensure trust, explainability, interpretability, and transparency regarding the diagnosis and prediction of diseases. Blockchain technology provides data security for patients while enabling transparency, traceability, and immutability regarding their data. These features of blockchain ensure trust among the patients regarding their data. Consequently, this proposed architecture ensures transparency and trust regarding both the diagnosis of diseases and the data security of the patient. We also explored the building block technologies of the metaverse. Furthermore, we also investigated the advantages and challenges of a metaverse in healthcare.

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“…Similarly, Nti et al (2021) defines AI application in the engineering and manufacturing (EM) domain, Spanaki (2021) performed an analysis on AI-driven agricultural technology (AgriTech), Cao (2020) did a study of applications of AI in finance, Nourani et al (2014) reviews the application of AI-models in hydro-climatology and so on. Nowadays, Health care is becoming the major sector having applications of AI-based systems (Shaheen, 2021;Alloghani et al, 2019;Jiang et al, 2017;Reddy et al, 2020). Not only for traditional purposes but now AI technology is also applied to provide solutions to some innovative ideas like AI in talent acquisition i.e., how AI has been used in recruitment and selection (Albert, 2019;Upadhyay & Khandelwal, 2018).…”

Section: Related Workmentioning

confidence: 99%

Patterns in the growth and thematic evolution of Artificial Intelligence research: A study using Bradford distribution of productivity and Path Analysis

Gupta

Kanaujia

Lathabai

et al. 2022

Preprint

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AI Applications has led to changes in social as well as economic structure of the world and caused worldwide policy changes. AI research and applications have not only increased in volume but has also expanded across various disciplines. Newer themes of research have emerged while attention on several topics has gradually faded. Therefore, there is a need to analyse and understand the patterns of growth and thematic evolution of AI research during the last decade. Motivated by the need, Bibliometric methodologies of Bradford’s law and Path analysis are employed to develop a framework for a detailed analysis. Publication and citation data of AI for the period 2010 to 2020 obtained from Web of Science when analysed using this framework, showed an exponential growth between 2016 and 2020. An increased adoption of AI in novel domains is indicated by an increase in both concentration and dispersion of the literature. Through the analysis of evolutionary trajectories contributing to growth of AI, it was observed that applications of AI are becoming common in previously unrelated areas such as water resource management, environment management, building technology, healthcare etc. These are areas which directly relate with sustainable development and the researchers have used multiple single as well as hybrid AI tools to address their problems. The article presents useful insight along these lines which can be useful for practitioners in the field of AI.

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Applications of Artificial Intelligence (AI) in healthcare: A review

Cited by 66 publications

References 16 publications

Editorial: Explainable artificial intelligence models and methods in finance and healthcare

Editorial: Explainable artificial intelligence models and methods in finance and healthcare

Metaverse in Healthcare Integrated with Explainable AI and Blockchain: Enabling Immersiveness, Ensuring Trust, and Providing Patient Data Security

Patterns in the growth and thematic evolution of Artificial Intelligence research: A study using Bradford distribution of productivity and Path Analysis

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