Authors :
Dr Rakshita M Allappanavar; Dibyaroop; Mohith Jain; Mridul Jindal; Nik Hil Kumar Dungarwal; Nehal
Volume/Issue :
Volume 8 - 2023, Issue 4 - April
Google Scholar :
https://bit.ly/43uxUln
Scribd :
https://bit.ly/41fNL5L
DOI :
https://doi.org/10.5281/zenodo.7840692
Abstract :
AI has the ability to completely transform the
healthcare industry by enhancing patient outcomes,
boosting productivity, and cutting costs. Medical
imaging, patient monitoring, resource management, and
creating individualised treatment regimens are all
possible with AI. AI is able to uncover patterns and
insights via the analysis of vast volumes of data that may
not be immediately obvious to human healthcare
professionals. This results in more precise diagnoses and
improved treatment strategies. The requirement for
high-quality data, the openness and interpretability of
AI algorithms, correcting biases, and making sure AI is
utilised responsibly and ethically are all major obstacles
and constraints that must be addressed. The potential of
AI in healthcare must be further explored and
developed, and cooperation between healthcare
professionals, academics, and developers is essential. By
allowing healthcare professionals to more accurately
detect and treat a variety of medical disorders, AI has
showed enormous potential in improving healthcare
outcomes. Medical imaging, such as X-rays, MRIs, and
CT scans, is one field where AI has shown to be
especially helpful. Healthcare practitioners may more
accurately identify patients and create more effective
treatment plans thanks to AI algorithms' fast analysis of
massive volumes of medical pictures for anomalies or
other illness symptoms. AI may also be used to monitor
patients in real-time, enabling medical professionals to
see possible health issues and take preventative measures
before they worsen. AI may be used, for instance, to
monitor a patient's vital signs and spot changes that
would point to a disease worsening, such sepsis or heart
failure. Addressing possible biases in AI systems, which
may result in erroneous or unfair healthcare outcomes,
is another difficulty. For instance, AI systems may
produce erroneous or discriminatory findings if they are
trained on data that is skewed against particular groups,
such as women or minorities. In order to overcome these
difficulties, it is essential to carry out ongoing research
and development of AI algorithms and methodologies, as
well as cooperation between healthcare professionals,
researchers, policymakers, and other stakeholders. In
summary, AI has the potential to revolutionise
healthcare by enhancing patient outcomes, boosting
productivity, and lowering costs. Yet, in order to fully
exploit AI's potential in healthcare, we must solve the
technology's difficulties and constraints. ensuring that
AI is utilised in a morally and responsibly. By doing this,
we can fully realise AI's potential to enhance healthcare
and improve patient outcomes.
Keywords :
Healthcare System; Artificial Intelligence; Ai usage; Benefits; Ai in Healthcare System; Credibility; Implemented AI.
AI has the ability to completely transform the
healthcare industry by enhancing patient outcomes,
boosting productivity, and cutting costs. Medical
imaging, patient monitoring, resource management, and
creating individualised treatment regimens are all
possible with AI. AI is able to uncover patterns and
insights via the analysis of vast volumes of data that may
not be immediately obvious to human healthcare
professionals. This results in more precise diagnoses and
improved treatment strategies. The requirement for
high-quality data, the openness and interpretability of
AI algorithms, correcting biases, and making sure AI is
utilised responsibly and ethically are all major obstacles
and constraints that must be addressed. The potential of
AI in healthcare must be further explored and
developed, and cooperation between healthcare
professionals, academics, and developers is essential. By
allowing healthcare professionals to more accurately
detect and treat a variety of medical disorders, AI has
showed enormous potential in improving healthcare
outcomes. Medical imaging, such as X-rays, MRIs, and
CT scans, is one field where AI has shown to be
especially helpful. Healthcare practitioners may more
accurately identify patients and create more effective
treatment plans thanks to AI algorithms' fast analysis of
massive volumes of medical pictures for anomalies or
other illness symptoms. AI may also be used to monitor
patients in real-time, enabling medical professionals to
see possible health issues and take preventative measures
before they worsen. AI may be used, for instance, to
monitor a patient's vital signs and spot changes that
would point to a disease worsening, such sepsis or heart
failure. Addressing possible biases in AI systems, which
may result in erroneous or unfair healthcare outcomes,
is another difficulty. For instance, AI systems may
produce erroneous or discriminatory findings if they are
trained on data that is skewed against particular groups,
such as women or minorities. In order to overcome these
difficulties, it is essential to carry out ongoing research
and development of AI algorithms and methodologies, as
well as cooperation between healthcare professionals,
researchers, policymakers, and other stakeholders. In
summary, AI has the potential to revolutionise
healthcare by enhancing patient outcomes, boosting
productivity, and lowering costs. Yet, in order to fully
exploit AI's potential in healthcare, we must solve the
technology's difficulties and constraints. ensuring that
AI is utilised in a morally and responsibly. By doing this,
we can fully realise AI's potential to enhance healthcare
and improve patient outcomes.
Keywords :
Healthcare System; Artificial Intelligence; Ai usage; Benefits; Ai in Healthcare System; Credibility; Implemented AI.
