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Artificial Intelligence in Health AI in medical diagnostics: A multi-disease approach

challenges of model bias, ethical concerns, and regulatory Funding
compliance. Through ongoing advancements, refinement
of AI methodologies, and adherence to ethical principles, None.
AI-driven diagnostics can pave the way for a more accurate, Conflict of interest
efficient, and personalized approach to healthcare.
The author declares no competing interests for this
10. Conclusions research.
This research highlights the transformative impact of AI Author contributions
in medical diagnostics, particularly its ability to improve
diagnostic accuracy, efficiency, and patient outcomes This is a single-authored article.
across multiple diseases, including cancer, cardiovascular Ethics approval and consent to participate
conditions, neurological disorders, and infectious diseases.
The effectiveness of models such as CNNs and RNNs in Not applicable.
interpreting complex medical images and time-series
data underlines AI’s capacity to enhance – and in some Consent for publication
cases surpass – traditional diagnostic methods. These Not applicable.
findings support the integration of AI as a valuable
diagnostic aid in clinical practice, where it can reduce Availability of data
human error, streamline workflows, and enable more The data used in this study can be obtained from the
data-driven decision-making. However, our research references as indicated in this article.
also underscores the challenges AI faces in diagnostics,
especially when dealing with complex and heterogeneous References
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Acknowledgments 2024;178:108742.
doi: 10.1016/j.compbiomed.2024.108742
The author would like to acknowledge and thank the
GOOGLE Deep Mind Research for providing access 6. Sankar H, Alagarsamy R, Lal B, et al. Role of artificial
intelligence in treatment planning and outcome prediction of
to pre-prints platforms. This research exploration was jaw corrective surgeries by using 3-D imaging- A systematic
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Deep Mind which is under the support of the GOOGLE
Research and the GOOGLE Research Publications within doi: 10.1016/j.oooo.2024.09.010
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Volume 2 Issue 3 (2025) 58 doi: 10.36922/aih.5173