Artificial Intelligence: A New Paradigm for Pharmaceutical Applications in Formulations Development

Sethuraman, Nagalakshmi

doi:10.5530/ijper.54.4.176

Cited by 10 publications

(3 citation statements)

References 6 publications

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“…AI is already widely used in healthcare, and the studies included in this analysis involved the use of AI in such aspects as disease screening, diagnosis, risk warning, adjuvant therapy and intelligent healthcare. In addition, AI is increasingly being applied in the research and development of new drugs,41 as well as in the prevention and treatment of COVID-19 42. With the accumulation of massive medical data and the improvement of hardware computing capacity, medical AI has built a data-driven deep learning system 43.…”

Section: Discussionmentioning

confidence: 99%

Public perceptions on the application of artificial intelligence in healthcare: a qualitative meta-synthesis

Wu,

Xu,

Bai

et al. 2023

BMJ Open

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ObjectivesMedical artificial intelligence (AI) has been used widely applied in clinical field due to its convenience and innovation. However, several policy and regulatory issues such as credibility, sharing of responsibility and ethics have raised concerns in the use of AI. It is therefore necessary to understand the general public’s views on medical AI. Here, a meta-synthesis was conducted to analyse and summarise the public’s understanding of the application of AI in the healthcare field, to provide recommendations for future use and management of AI in medical practice.DesignThis was a meta-synthesis of qualitative studies.MethodA search was performed on the following databases to identify studies published in English and Chinese: MEDLINE, CINAHL, Web of science, Cochrane library, Embase, PsycINFO, CNKI, Wanfang and VIP. The search was conducted from database inception to 25 December 2021. The meta-aggregation approach of JBI was used to summarise findings from qualitative studies, focusing on the public’s perception of the application of AI in healthcare.ResultsOf the 5128 studies screened, 12 met the inclusion criteria, hence were incorporated into analysis. Three synthesised findings were used as the basis of our conclusions, including advantages of medical AI from the public’s perspective, ethical and legal concerns about medical AI from the public’s perspective, and public suggestions on the application of AI in medical field.ConclusionResults showed that the public acknowledges the unique advantages and convenience of medical AI. Meanwhile, several concerns about the application of medical AI were observed, most of which involve ethical and legal issues. The standard application and reasonable supervision of medical AI is key to ensuring its effective utilisation. Based on the public’s perspective, this analysis provides insights and suggestions for health managers on how to implement and apply medical AI smoothly, while ensuring safety in healthcare practice.PROSPERO registration numberCRD42022315033.

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Section: Discussionmentioning

confidence: 99%

Public perceptions on the application of artificial intelligence in healthcare: a qualitative meta-synthesis

Wu,

Xu,

Bai

et al. 2023

BMJ Open

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“…Currently, the application of artificial intelligence technology in the healthcare supply chain is mainly reflected in the following five aspects. First, the application of artificial intelligence technology in pharmaceutical research and development ( 31 ), the significant changes in the field of pharmaceutical research and development are closely related to the breakthrough progress in the field of artificial intelligence ( 32 ). In the face of the extremely large pharmaceutical industry data, AI can be used to process the data through appropriate algorithmic models, and then used in the process of pharmaceutical R&D, which can effectively accelerate the speed of pharmaceutical product development, reduce the cost of R&D, and improve the success rate of research and development.…”

Section: Literature Reviewmentioning

confidence: 99%

Intelligent selection of healthcare supply chain mode – an applied research based on artificial intelligence

Long,

Lu,

Chen

et al. 2023

Front. Public Health

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IntroductionDue to the inefficiency and high cost of the current healthcare supply chain mode, in order to adapt to the great changes in the global economy and public health, it is urgent to choose an effective mode for sustainable development of healthcare supply chain. The aim of this paper is to use artificial intelligence systems to make intelligent decisions for healthcare supply chain mode selection.MethodsFirstly, according to the economic benefits, social benefits and environmental benefits of healthcare supply chain, this paper identifies different healthcare supply chain modes in combination with artificial intelligence technology. Secondly, this paper presents the intelligent choice optimization method of healthcare supply chain mode based on deep reinforcement learning algorithm. Finally, the effect of artificial intelligence in healthcare supply chain mode selection is verified by simulation experiment.Results and DiscussionThe experimental results show that healthcare supply chain mode selected by artificial intelligence is basically consistent with the target mode, while healthcare supply chain mode selected by the basic selection method, BP neural network method and big data method is different from the target mode, which indicates that AI has more advantages in the selection of medical supply chain mode. Therefore, we recommend the application of artificial intelligence to healthcare supply chain management. This study not only makes up for the ineffective problems of existing methods, but also makes up for the gaps in the application of AI technology in the field of healthcare supply chain. The scientific value of this paper is that the proposed framework and the artificial intelligence algorithm enrich the relevant theories of healthcare supply chain research and provide methodological guidance for intelligent decision-making of healthcare supply chain. At the same time, for medical enterprises, this research provides a new practical guideline for the application of artificial intelligence in the sustainable development and modern management of healthcare supply chain.

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“…Therefore these well-designed A.I. methods can greatly speed up the development process, enhance the product stability, as well as provide high expertise relationship between various formulation and process parameters (8). Hence A.I.…”

Section: Introductionmentioning

confidence: 99%

The Trending Role of Artificial Intelligence and Its Applications in Formulation of Solid Dosage Forms: A Review

Navya¹,

Kamaraj²,

Bharathi³

2022

ECS Trans.

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Artificial intelligence (A.I) is a technology based system involved in use of advanced tools and software’s and has achieved human level of capabilities and brought a paradigm shift in pharma industry therefore use of A.I in pharmaceutical product development has elevated over past few years. Adopting of technology can save money and time also provide good understanding between formulation and process parameters. Solid dosage forms are predominant in pharmaceutical market. It is estimated that tablets are the most come solid dosage form which contributes more than two-third of global market. Tablets are produced with many formulation factors i.e. from raw material to finished product therefore it is a great task and often complicated. Thus the use of A.I can help to obtain optimized formulations which could benefit pharmaceutical industry massively. Therefore adopting A.I–based technologies in manufacturing process of pharmaceutical product will improve the quality and safety of the product.

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Artificial Intelligence: A New Paradigm for Pharmaceutical Applications in Formulations Development

Cited by 10 publications

References 6 publications

Public perceptions on the application of artificial intelligence in healthcare: a qualitative meta-synthesis

Public perceptions on the application of artificial intelligence in healthcare: a qualitative meta-synthesis

Intelligent selection of healthcare supply chain mode – an applied research based on artificial intelligence

The Trending Role of Artificial Intelligence and Its Applications in Formulation of Solid Dosage Forms: A Review

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