Remote Assistance for Bone-Fractured Patients using Deep Learning Models
Remote diagnosis enables healthcare professionals to evaluate and diagnose patients from a distance using telecommunication technologies, enhancing healthcare delivery by improving accessibility, especially for those in remote or underserved areas. One of the significant sustainability challenges in...
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| Main Authors: | Nallakaruppan Kailasanathan, Sivaramakrishnan Somayaji, Mohamed Baza, Gautam Srivastava, SenthilKumaran Ulaganathan, Gokul Yenduri, Vaishali Ravindranath, Maazen Alsabaan |
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| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2024-12-01
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| Series: | Applied Artificial Intelligence |
| Online Access: | https://www.tandfonline.com/doi/10.1080/08839514.2024.2423326 |
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