2019
DOI: 10.2139/ssrn.3469423
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Artificial Intelligence in the Healthcare Sector

Abstract: To an extent as never before in the history of medicine, computers are supporting human input, decision making and provision of data. In today' s healthcare sector and medical profession, AI, algorithms, robotics and big data are used to derive inferences for monitoring large-scale medical trends, detecting and measuring individual risks and chances based on data-driven estimations. A knowledge-intensive industry like the healthcare profession highly depends on data and analytics to improve therapies and pract… Show more

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Cited by 12 publications
(7 citation statements)
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“…Second, decision support applications will form a decision support system that integrates multi-source knowledge in the future. In terms of image data application, a decision support system covering multiple diseases, multiple sites and the whole process will be formed, and a decision support system of "Authoritative Knowledge + Clinical Experience" will be formed in the application of clinical text data [8]. Third, with the continuous progress and integration of multidisciplinary technology, executive applications will also further mature and develop in the direction of humanmachine collaboration.…”
Section: Big Data and Artificial Intelligencementioning
confidence: 99%
“…Second, decision support applications will form a decision support system that integrates multi-source knowledge in the future. In terms of image data application, a decision support system covering multiple diseases, multiple sites and the whole process will be formed, and a decision support system of "Authoritative Knowledge + Clinical Experience" will be formed in the application of clinical text data [8]. Third, with the continuous progress and integration of multidisciplinary technology, executive applications will also further mature and develop in the direction of humanmachine collaboration.…”
Section: Big Data and Artificial Intelligencementioning
confidence: 99%
“…2 , 3 AI, on the other hand, has garnered significant attention in recent years for its potential to revolutionize healthcare through data-driven decision-making, predictive analytics, and personalized treatment plans. 4 , 5 …”
Section: Introductionmentioning
confidence: 99%
“…Further, the limited availability of licensed ABA clinicians impacts the quality of the baseline ABA program and its subsequent revisions during the patient treatment journey [ 19 ] limiting rehabilitation outcomes for ASD children. The above limitations underscore the importance of technological advancements, particularly in developing technology-driven personalized ABA recommendation systems (RS), enhancing therapist capacity [ 20 , 21 ] and intervention quality, disencumbering both caregivers and healthcare professionals of the challenges they face. Additionally, there is growing interest in applying ML algorithms to the field of brain disorders and mental health [ 22 , 23 ].…”
Section: Introductionmentioning
confidence: 99%