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INTRODUCTION
In this computer aided
technology era, all fields of science involved information technology. Whether
it is biotechnology, bioinformatics, nanotechnology, etc. All aspects of
researches need to be ethics free so that can be used for human welfare. It is
well known that “Necessity is the mother of Invention” and we human beings want
all secrets of life disclosed. Regularly different scientific groups are
working on finding vaccines for chronic diseases because it is the safest way
to be getting rid of diseases. Nowadays artificial intelligence is a boom in
all areas whether it is biomedical sciences. It is amalgamation of computer
ethics and bioethics.
ROLE OF NANOTECHNOLOGY IN ARTIFICIAL INTELLIGENCE
Nanotechnology will play a
crucial role in providing nano devices which can repair cells, promising great
improvements in longetivity and quality of life, i.e., cancer, HIV, etc.
Nanotechnology proves better in understanding the full functioning of the human
body [1]. With its molecular mechanism/machines all organizational working is
done. Our body is fully functional in all its own way. Many bioinformatics
techniques are needed to understand the protein folding and functioning in silico. Machine learning models are
also developed for understanding disease, diagnosis, and further treatment
[2,3]. Machine learning models also help to classify and understand health care
system in human by association or interaction of genes, enzymes, proteins.
Nanomedicine products are also developed for healthcare are nearly available in
the market.
ARTIFICIAL INTELLIGENCE AND DISEASE
DIAGNOSIS/TREATMENT
In vivo disease detection and monitoring
through micro-electromechanical system creates “lab-on-a-chip” devices to
detect cells infected with bacteria/virus. The devices are manufactured to
provide real time processing of several blood levels, leads to a strong cost
benefit for people with chronic disease s. Artificial intelligence provide the
digital nurses, personal assistant, health monitoring, etc. AI will provide
early and precise diagnosis. One example is AiCure, a mobile app that uses AI
and image analysis to control patient adherence to prescriptions. This includes
making sure patients take their medication on time and perform other tasks
ordained by their doctor. This can be useful for people with serious medical
conditions and patients who might go against their doctor’s prescriptions.AI
models can better use in treatment processes on the basis of patients history
[4-6].
ISSUES AND CHALLENGES FOR AI IN HEALTHCARE
AI in the healthcare sector
assumes substantial significance. Law will need to implement with new
innovation in order to save from unusual deeds. There are several ways in which
AI is being used or proposed to be used in the healthcare industry which mainly
include data collection, data storage, data analysis, monitoring conditions,
prescribing treatments, AI assisted robotic surgeries. Hospitals,
pharmaceutical companies, diagnostic companies, fitness wearable’s and
telemedicine are some of the businesses in the healthcare sector which use AI.
If a medical professional is
responsible for case a deficiency of his/her duty leads to negligence. There
have been instances of civil as well as criminal penalties being imposed on
medical professionals in the past for negligence. The regulations do not,
however, distinguish cases where there is an error in diagnosis malfunction of
a technology, or the use of inaccurate or inappropriate data. As a result,
presently there is no accountability for the software developer developing the
AI solution or the specific program engineer who designed it. It is also
unclear on how one determines the level of accountability of the medical
professional when he/she provides the wrong treatment or diagnosis due to a
Some instances showed that
according to publicly available data, patients have had instances of giving unsafe
treatment recommendations. For example, reports have suggested that cancer
patients with severe bleeding have been recommended a drug that could cause the
bleeding to worsen. Under the current regulations in India, the medical
professional may not be able to take a defence that he/she relied on the
recommendation of an AI solution.The lack of adequate data privacy laws in
India could result in such data sets being commercially exploited for matters
beyond the development of AI solutions. This is really a big issue that was
understood by the Ministry of Health and Family Welfare and released a draft of
the Healthcare Security Act. In addition to the electronic health record
standards, this law proposes to provide civil and criminal remedies for breach of
data and principles for data collection and use. It also provides for the
establishment of the National Digital Health Authority, a regulator which will
focus exclusively on enforcing healthcare data protection norms.
IPR
An intellectual property
right provides two types of rights: first is an industrial property right,
i.e., trademark, patents, designation of origin, industrial designs and models.
And another is copyright. The motive of intellectual property law is for encouragement
the own creations. But sadly there is no law for patenting the algorithms.
According to IPR, algorithms are not inventions. The AI algorithms are created
by collating and analyzing human intelligence which developed creativity with
data and datasets of different origins. As the technology is changing fast day
by day, now AI is needed for healthcare assessments. It will make the machines
to learn from experience, adjust to new inputs and perform human like tasks.
While seeing it’s all round importance in research and development, the Indian
law will also need to developed and amended constantly and adequately regulate
the role of AI in healthcare sector. In India, a committee could be formed
which entrusted with the task of evaluating the operation of AI-driven health
care solutions and provide suggestions to reform Indian regulations.
As always said we are the
best creatures of the almighty to make this world beautiful, so now here is our
good chance to reshape the society and make our earth a better place to live.
The development of novel technologies based therapies being the part of AI,
Bioinformatics, Machine learning, Deep learning, Nanotechnology will arise
several ethic principles about human rights which need to be followed in all
levels: moral, political, and religion. All these will make human privacy,
dignity, justice, and fair access to the knowledge of the diseases for possible
beneficial therapy. It is moral responsibility of researchers that they tell
beforehand about the misuse or any contemporary use of AI as treatment. AI will
deliver healthcare revolution if used in proper manner and unseen ever.
1. Supriya
DM (2012) Anti-HIV-1 nanotherapeutics: Promises and challenges for the future.
Int J Nanomed 7: 5301-5314.
2. Dubey
A (2016) Machine learning models for assessment of HIV biomarkers in medicine.
Int J Multidiscip Res Acad 4: 1-15.
3. Dubey
A (2016) Applications of machine learning: Cutting edge technology in HIV
diagnosis, treatment and further research. Comput Mol Biol 6: 1-6.
4. http://www.accenture.com/us-en/artificial-intelligence
5. Dubey
A (2018) Machine learning model for analysis of critically important
antimicrobials for human medicine. Int J Mol Biol 3: 287-293.
6. Dubey
A (2019) The use case of artificial intelligence in improving health. 3: 1-2.