Overview

What is AI

AI (artificial intelligence) is a branch of computer science and a combination of engineering and technology that makes machines perform tasks and think like humans, including control robotics, problem-solving, language understanding etc.¹

Artificial intelligence in healthcare is extensively used to detect diseases, prepare documentation, process healthcare data, augment patient and physician communication, rapid drug discovery, improve healthcare systems, and remotely provide treatment to patients.²

What is nanotechnology

The term “nano” means very small, and the technology used for its practical application is called nanotechnology. It focuses on producing, assembling, designing, controlling, and measuring 1-100 nm. It is one of the most promising discoveries of the modern era and has the potential to make a significant impact in healthcare. Furthermore, nanotechnology is currently applied in human health and successfully treats life-threatening diseases including cancer.³

This article revolves around the study of artificial intelligence and nanotechnology, their role and advancement in the field of medical sciences, clinical studies, documentation, scientific publications and so on. In addition, how AI and nanotechnology fusion work and contribute to the field of medicine are also reviewed.

AI and nanotechnology: transforming medical advancement

For several years, nanotechnology has been extensively utilized for detecting, controlling, treating and managing diseases. Many medicines based on nanotechnology have now been approved by the U.S. Food and Drug Administration. The implementation of artificial intelligence in nanotechnology-based products can beneficially modify the healthcare sector.⁴

Currently, AI-based nanomedicines have been used worldwide in the treatment of different types of cancers including leukaemia, breast cancer, ovarian, myeloid cancer, and pancreatic cancer, among others. AI and nanotechnology advancements will be discussed further:⁴

Application of AI in medical diagnosis and treatment

AI-driven diagnostic agent using nanotechnology

Improve quality of diagnostic tests: AI has a significant role in diagnosing disease. It improves the efficiency of different imaging tests including X-rays, MRI-scan, CT- scan by deeply examining each part and prominently indicating disease markers. This precise diagnosis can also help in better treatment plans and prevent life-threatening conditions.⁵

Personalized medicines

AI aids in making personalized medication and preparing individual treatment plans by assessing patient data, clinical records, and illness.⁵

Nanobots for targeted drug delivery and therapy

Nanobots are ingestible robotic devices, with their size ranging from 50-100 nm. It is used for the delivery of drugs to targeted tissues and cells, for diagnosis and treatment. It is different from traditional drug delivery, nanobots reach out to their specific location and produce their therapeutic action. However, it is more efficacious and has fewer side effects.⁶

Advantages of combining AI and nanotechnology:

• Combining AI and nanotechnology gives further advancement in the field of nanotechnology
• It is beneficial in the discovery of new materials and diagnostic agents
• It improves the accuracy of medical imaging tests
• Personalized medicines for specific diseases and their treatment
• It helps in analyzing a patient’s clinical records and dataset⁷
• It improves the precision and efficacy of medicines
• Researchers can create complex material with more accuracy and faster⁸

AI in medical writing

In recent years, the healthcare sector has been going through major transformation in terms of the involvement of AI in the medical field. One of the prominent transformations is the application of artificial intelligence in medical writing. The following are the key points which shows the impact of AI on medical writing:

• AI can enhance writing skills, polish the writing by correcting grammatical mistakes, and make it simple and error-free. It saves the writer's time
• Complex data is made easier to manipulate with the help of AI
• It aids in educating patients, as it is easy to get any information regarding patient reports, and medications⁹
• Create, oversee and deliver accurate and precise content
• It automates literature review and data analysis
• AI can easily extract the data from clinical reports, ADR databases, and safety reports¹⁰

Challenges and limitations

Despite all the benefits of using AI in medical writing, there are some challenges and limitations. This includes wrong information, bias, lack of privacy and transparency, and plagiarism. AI can generate biased content, hence you cannot totally rely on AI-generated information for content creation. Incorrect information could harm patients depending on the sensitivity of the matter.

AI-generated content can also lack originality due to plagiarized content. In conclusion, the use of AI in medical writing should be used in careful consideration of all these above ethical concerns.¹¹

Revolutionizing scientific publication with AI

Artificial intelligence has played a significant role in revolutionizing scientific papers, as the use of AI tools is rapidly increasing for data analysis, literature evaluation, and research publications. It enhances the effectiveness of research publication and literature by saving researchers time and effort. Besides their benefits, there are some drawbacks to using these AI tools.¹²

What is an AI tool: it is a software that uses artificial intelligence and it aids in performing different tasks and problem-solving. AI tools come in varieties and each tool has a specific function; it can be used in multiple industries like healthcare, finance, marketing, writing, and education among others.¹²

How AI tools are used in research

• Identify the research topics by means of research-based AI tools
• After finding the topic, generate ideas or create an outline for the text
• Review and refine text by using AI tools, this can make a document more concise, clear and effective¹²

Examples of AI tools

• AI tools for text: writesonic, chatgpt, quiltboot, jasper, and copy.ai
• AI tools for data analysis: KNIME, polymer, tableau, Microsoft Power BI¹²

Advantages of AI tools

• It makes the research publication more effective and error-free
• Save researcher time and effort
• Data can be easily extracted and interpreted
• AI tools help to take out important information from the document¹²

Drawback of AI tools

• Increased risk of unintentional plagiarism because AI tools can generate content that preexists
• Lack of critical thinking and deep analysis
• Generate inaccurate data and give false information¹³
• It cannot generate creative ideas, unlike the human brain
• AI-generated content lacks human touch, emotions, and complex information¹⁴

Future of AI and nanotechnology

Artificial intelligence and nanotechnology are advanced technologies of today's times. However, the synergy between both technologies has a potential impact in transforming industries, particularly in healthcare. It redefines healthcare and improves medical diagnosis, and treatment; advanced imaging tests could help in better understanding of disease.¹⁵

The integration of artificial intelligence in nanotechnology transforms material at the nanoscale. It plays a significant role in the field of robotics, the combination of technologies gives rise to nanorobots which aid in drug delivery in the human body.¹⁶ Furthermore, it also designs nanomaterials that are useful in targeting cancer cells. As a consequence, cancer treatment becomes more efficacious.

Another advancement is nanodevices and nanocomputing which boosts computer efficiency. Moreover, in future, nanotechnology can also make electricity, solar cells, batteries and more. In conclusion, the combination of AI and nanotechnology give rise to a better tomorrow.¹⁶

FAQs

Who first discovered AI?

AI was first invented by two computer scientists named Alan Turing and John McCarthy in the 1950s. 

In which industries nanotechnology are used other than healthcare?

Food, energy, communication and information sector. It is used to reduce environmental pollution.

What are the examples of nanotechnology?

Smartphones, laptops, clothing, sunscreen, furniture, adhesive, automotive, sports goods etc are examples of nanotechnology.

Summary

Artificial intelligence is the science of manufacturing machines that perform complex tasks and mimic human intelligence whereas nanotechnology is the science of making and designing nanoparticles. These are emerging technologies and can be used in multiple industries. In healthcare, it is used in diagnosis, managing, and treating diseases.

The fusion of AI and nanotechnology has a beneficial effect on the healthcare industry; it aids in drug discovery, imaging of different tissues, disease management, and treatment. In addition, AI is also useful in writing and research as well. It makes a research document more effective and saves time and effort. Despite having benefits, AI possess some drawbacks;