International Journal For Multidisciplinary Research
E-ISSN: 2582-2160
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A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal
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Volume 7 Issue 6
November-December 2025
Indexing Partners
Artificial Intelligence in Healthcare: System Classification, Implementation Barriers, and Breakthroughs in Orthopedic Cancer Treatment
| Author(s) | Ashi Vashishth |
|---|---|
| Country | India |
| Abstract | An overview of the applications of artificial intelligence in healthcare focuses on its role in patient monitoring, rehabilitation, and personalized treatment. It examines different ways to categorize AI systems in healthcare, seeking classifications based on their functions or clinical uses. The paper addresses significant obstacles to adopting AI technologies in healthcare. These include technical issues, ethical concerns, data privacy, government policies, and ethics breaches. It also highlights advancements and current uses of artificial intelligence in orthopedic cancer treatment. Furthermore, it assesses how AI technologies are improving areas like early detection, treatment planning, and predicting patient outcomes in orthopedic oncology. The synthesis of research connects the major challenges of AI integration with the specific achievements and shortcomings seen in orthopedic cancer management. Lastly, it considers trends and potential applications of AI that could further improve the treatment of orthopedic cancer. Relevant articles and case studies support findings related to system classification and barriers. |
| Keywords | Artificial Intelligence, Healthcare Technology, Clinical Decision Support Systems, Machine Learning, Orthopedic Oncology, Cancer Treatment, Patient Monitoring, Rehabilitation, Personalized Medicine, Ethical Challenges, Data Privacy, Policy Frameworks, Implementation Barriers, Predictive Analytics, Future Trends |
| Field | Computer > Artificial Intelligence / Simulation / Virtual Reality |
| Published In | Volume 7, Issue 6, November-December 2025 |
| Published On | 2025-11-22 |
| DOI | https://doi.org/10.36948/ijfmr.2025.v07i06.60608 |
| Short DOI | https://doi.org/hbb78g |
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E-ISSN 2582-2160
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