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eISSN: 2572-8474

Nursing & Care Open Access Journal

Opinion Volume 11 Issue 3

Artificial intelligence in nursery service

Da Yong Lu,1 Yu Zheng Chen,2 Da Feng Lu2

1School of Life Sciences, Shanghai University, China
2The Second Hospital of Neijiang District, Sichuan Province, China

Correspondence:

Co-correspondence: Da Yong Lu, School of Life Sciences, Shanghai University, Shanghai 200444, PRC, China

Received: October 15, 2025 | Published: November 18, 2025

Citation: Lu DY, Chen YZ, Lu DF. Artificial intelligence in nursery service. Nurse Care Open Acces J. 2025;11(3):103-104. DOI: 10.15406/ncoaj.2025.11.00329

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Abstract

Nursery services required overall promotion and new techniques. Nowadays, techniques and medical knowledge innovations plays pivotal roles. Some supportive techniques (soft-power, availability, and magic disciplines) can be integrated into nursery services in ease and human resource liberation. This Editorial addresses medical challenges and new technology integration via subjects and aims of artificial intelligence.

Keywords: healthcare, nursing, medical service, modern technology, artificial intelligence

Introduction

Topic notice

Nursery services required overall promotion and new techniques. Nowadays, techniques and medical knowledge innovations plays pivotal roles. Some supportive techniques (soft-power, availability, and magic disciplines) can be integrated into nursery services in ease and human resource liberation. This Editorial addresses medical challenges and new technology integration via topic of artificial intelligence (AI)—advances, applications, and future perspectives.

Realistic scenarios

Nursery service is laborious, repeat and hardworking.1-4 It needs great physical or spiritual capability as well as technical skills.5-9 Some ways of nursery promotion and new initiatives can reduce therapeutic costs without compromising clinical efficacy and labors.10-17

Problem orientation

A plenty of medical and technical issues should be resolved—costs, feasibility and induration optimization in increasing areas. Robots, software, and algorithms should be facilitated.

Methods

Different approaches and pathways

Table 1 shows major pathways and applications of AI for AI nursery.

Areas

Major applications

Automation

Feasibility and replacement of current convention

Reorganization at any time

Changeable therapeutic option adjustment

24 hour service

Enduring physical or spiritual demanding properly

Cost adjustment

Save human service and resources

Working areas

Suitability for more disease treatments and scientific progress

Service progress

Perfection nursery and treatment by machine/deep learning

Technical progress

Improving in diagnosis and treatments in quick & detail ways

Table 1 AI strategies in nursery applications

Expanding to more areas and diseases

Expanding AI nursery to more areas and disease treatment is currently underway. It is not narrowed only in nursery. Scientific and technical improvements are also useful. In the future, AI popularity will quickly help nursery service to thrive and indispensable.

Future perspectives

The high quality of nursery service can be gradually built via different AI approaches. It includes as

  1. System rebuilding and promotion
  2. Show areas in personalized medicine for different diseases18-21
  3. Availability and popularity of AI in growing areas or disciplines
  4. Benefits for patients, doctors and nurses

Conclusion

Some supportive techniques (soft-power, availability, and magic disciplines) can be integrated into nursery services in ease and human resource liberation. To promote these kinds of medical and technical work, AI techniques should be popularized.

Acknowledgments

None.

Conflicts of interest

None.

References

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