Transforming Healthcare: Harnessing the Power of Machine Learning for Disease Diagnosis and Management
Recent advancements in AI and ML have brought on substantial strides in predicting and identifying health emergencies, disease populations, and disease state and immune response, amongst a few. AI and ML models are increasingly utilized at every step of life. Its special ability to handle large amounts of data and give swift easy solutions makes it more popular and loyal to humanity. So here we provide brief overview of AI and ML which includes supervised, unsupervised and reinforcement learning. Next, we discuss the pros and cons of ML application to healthcare such as system privacy, ethical concerns and provide suggestions to upgrade it more for the future use.
Authors
- Sahil Garg (ORCID: https://orcid.org/0000-0003-0229-608X)
- Ashutosh Srivastava
- Divya Srivastava (ORCID: https://orcid.org/0000-0003-3114-7737)
- Madhushi Verma (ORCID: https://orcid.org/0000-0003-1996-2077)
- Pushpendra Singh (ORCID: https://orcid.org/0000-0002-7277-115X)
- Akash Ranjan Singh (ORCID: https://orcid.org/0000-0003-3937-6497)
Institutions
- Bennett University (IN)
Publication Details
- Published
- 2024-11-23
- DOI
- https://doi.org/10.1109/icicat62666.2024.10923340
- Citations
- 1
- Primary Topic
- Artificial Intelligence in Healthcare
- Type
- article
- Field-Weighted Citation Impact
- 0.71