Trisha Naskar,
Gourab Kumar Jana,
Sayan Bans,
Biswajit Gayen,
Raghunath Maji,
Gopal Chokraborty,
Chittaranjan Mondal,
- Student, Department of Computer Science and Engineering (CSE), Greater Kolkata College of Engineering and Management, JIS Group of College, Phultala, Baruipur, South 24 Parganas, West Bengal, India
- Student, Department of Computer Science and Engineering (CSE), Greater Kolkata College of Engineering and Management, JIS Group of College, Phultala, Baruipur, South 24 Parganas, West Bengal, India
- Student, Department of Electrical Engineering, Greater Kolkata College of Engineering and Management, JIS Group of College, Phultala, Baruipur, South 24 Parganas, West Bengal, India
- Assistant Professor, Basic Science & Humanities (BS&HU) Department, Greater Kolkata College of Engineering and Management, JIS Group of Colleges, Phultala, Baruipur, South 24 Parganas, West Bengal, India
- Assistant Professor, CSE Department, Greater Kolkata College of Engineering and Management, JIS Group of Colleges, Phultala, Baruipur, South 24 Parganas, West Bengal, India
- Assistant Professor, Basic Science & Humanities (BS&HU) Department, Greater Kolkata College of Engineering and Management, JIS Group of Colleges, Phultala, Baruipur, South 24 Parganas, West Bengal, India
- Assistant Professor, Basic Science & Humanities (BS&HU) Department, Greater Kolkata College of Engineering and Management, JIS Group of Colleges, Phultala, Baruipur, South 24 Parganas, West Bengal, India
Abstract
Health Services are being revolutionized with AI and ML through improved accuracy, efficiency and accessibility in the delivery of health care. With AI and ML, it is now possible for health care professionals to assess varying amounts of complex clinical data in a relatively short amount of time, therefore, creating opportunities for early detection of disease, increasing the odds of accurate diagnosis, and improving the ability to make informed clinical decisions. Examples of AI-driven tools that are improving health care delivery include Intelligent Medical Imaging Systems, Predictive Analytic Platforms, Virtual Health Assistants, and Automated Data Management Systems. Each of these AI technologies improves workflow in health care while reducing the burden placed on health care workers. In addition, ML algorithms are critical to the practice of personalized medicine by allowing providers to tailor patient treatment based on genetic information, medical history, and lifestyle. Personalized medicine improves overall treatment outcomes and provides more successful ways to treat patients. AI and ML advancements for drug discovery, remote patient monitoring, and management of resources within hospitals can offer unprecedented efficiencies to delivery systems of healthcare. However, there is still considerable work to be performed in responsibly utilizing AI and ML technology with significant focus areas such as identification of data privacy right issues, eliminating algorithmic biases, providing algorithmic transparency, and compliance with applicable regulations. All these issues must be resolved before a pathway to the safe and ethically appropriate use of AI/ML technologies can be developed. Thus, this paper will outline the pertinent applications, advantages, disadvantages and ethical concerns associated with the application of AI and ML technologies within the health and healthcare fields.
Keywords: Artificial intelligence, machine learning, healthcare, personalized medicine, management
[This article belongs to International Journal of Biomedical Innovations and Engineering ]
Trisha Naskar, Gourab Kumar Jana, Sayan Bans, Biswajit Gayen, Raghunath Maji, Gopal Chokraborty, Chittaranjan Mondal. The Role of Artificial Intelligence and Machine Learning in Redefining Global Healthcare Systems and Advancing Medical Innovation. International Journal of Biomedical Innovations and Engineering. 2026; 04(01):14-19.
Trisha Naskar, Gourab Kumar Jana, Sayan Bans, Biswajit Gayen, Raghunath Maji, Gopal Chokraborty, Chittaranjan Mondal. The Role of Artificial Intelligence and Machine Learning in Redefining Global Healthcare Systems and Advancing Medical Innovation. International Journal of Biomedical Innovations and Engineering. 2026; 04(01):14-19. Available from: https://journals.stmjournals.com/ijbie/article=2026/view=247024
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International Journal of Biomedical Innovations and Engineering
| Volume | 04 |
| Issue | 01 |
| Received | 18/12/2025 |
| Accepted | 02/02/2026 |
| Published | 05/06/2026 |
| Publication Time | 169 Days |
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