Diagnostic medical artificial intelligence: Futuristic prospects for implementation in healthcare settings

Nagam, Vishruth M.

doi:10.3389/frai.2023.1169244

Cited by 3 publications

(2 citation statements)

References 6 publications

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“…Several biotechs have recently announced that they have discovered or developed drugs using AI and machine learning and have moved to the clinical trial stage. Among them are Exscientia, Verge Genomics, and Recursion Pharmaceuticals [32,39]. By using generative AI in the drug discovery and development process, companies can save two to four years in preclinical drug development, depending on the complexity of the target, and increase the likelihood of drug success through better chemical composition selection.…”

Section: Discussionmentioning

confidence: 99%

“…The potential capabilities of AI allow for effective predictive analytics, opening up opportunities for preventive intervention by analysing patterns and specific features of informative arrays [36,37]. With the help of AI technologies, it is advisable to implement pattern recognition systems in medical images, which will allow timely and accurate detection of anomalies [38,39]. Artificial intelligence is also productive in shaping the personalised medicine approach, which involves the analytical processing of genetic information, accumulation of individual diverse medical data, and optimisation of preventive medical recommendations.…”

Section: Table 2 Scientific Approaches To the Implementation Of Artif...mentioning

confidence: 99%

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The impact of artificial intelligence on Ukrainian medicine: benefits and challenges for the future

2023

FEM

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The worldwide trend of digitisation across all aspects of society necessitates a fresh approach to the management system in the healthcare sector of Ukraine. The use of artificial intelligence (AI) tools in medicine opens up opportunities for transforming the healthcare sector by creating an effective and personalised approach to medical services. Aims: The purpose of the study was a comprehensive analysis of the current role of artificial intelligence in Ukrainian medicine and the projected future impact of its development. Methodology: The work was completed by utilising several common scientific methods of cognition: logical and structural analysis, abstraction, comparison, induction, and deduction, as well as concretisation and formalisation. Results The benefits resulting from the active implementation of artificial intelligence technologies in medicine were analysed and evaluated in the article. The risks that will accompany the further rooting of AI in medical information systems were identified and a number of appropriate preventive measures were proposed. The experience of developed countries in the transformation of medicine through the use of artificial intelligence capabilities was studied. The feasibility and prospects of using AI technologies in various areas of healthcare were analysed. A number of tools and technologies were proposed to ensure an adequate level of security and protection of personal information. Scientific Novelty: The principles for adapting the existing algorithms of the medical industry in Ukraine to meet the requirements of digitalisation have been formulated, the expediency of transformation in this area was substantiated. Conclusion: It was substantiated that the increasing utilisation of artificial intelligence enables the ability to produce precise and efficient decisions within intricate analytical procedures. The results of the study may be of practical value for the process of optimising the modern medical industry in Ukraine in the context of globalisation of the introduction of artificial intelligence technologies.

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Section: Discussionmentioning

confidence: 99%