Revolutionising Diagnostics: The Role of AI-Integrated Personal Devices in Medical Imaging
DOI:
https://doi.org/10.58213/vidhyayana.v10isi3.2226Keywords:
Artificial Intelligence, Medical Imaging, Personal Imaging Devices, Healthcare Diagnostics, Diagnostic Accuracy, Wearable Medical Technology, Data Privacy, Personalized Medicine, Portable Diagnostics, Augmented Reality In HealthcareAbstract
Medical imaging is one of the most important aspects of modern medicine, and AI is revolutionizing this field by enabling the processing and analysis of complex data with new expertise. The Application of AI in Personal Medical Imaging Devices for Better Diagnostic, Accessibility, and Personalized Care. AI-assisted devices or personal imaging devices based on algorithms including, but not limited to, deep learning and machine learning, facilitate the transition from centralized diagnostics to point-of-care or accessible diagnostics. Diagnostic speed, accuracy, and affordability devices like portable ultrasound machines, smartphone-based imaging systems, and wearable systems greatly enhance these. Augmented and mixed reality technologies are also being used to improve medical image visualization tools and support clinicians' decision-making processes.
Nevertheless, a number of challenges pose critical barriers to its wide-spread use. We do see big wall of data privacy, data security, algorithms bias in their big push. Integration is also limited by regulatory constraints, a lack of user education, and the absence of standardized operational frameworks. In addition, technical challenges, such as a lack of nicely annotated datasets and the challenges in interoperation between systems, limit the beauty of using AI in personal imaging devices.
The emergence of sophisticated AI algorithms, the combination of multi-modal imaging for enhanced software output, and cost-effective solutions will lead to more accurate and accessible personal medical imaging systems in the future. Along with advancements in personalized medicine, these innovations have the power to transform preventive care and remote patient monitoring. Yet, addressing ethical, legal, and practical obstacles continues to be essential for safe, fair implementation. Our inability to form collaborative forces across stakeholders to navigate the technology.
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