Artificial Intelligence in Medical Diagnosis: A Human-Centred Approach

Abstract

This research work examines the application of artificial intelligence (AI) in medical diagnostics to improve healthcare results. Using machine learning algorithms and deep learning approaches, the research methodology includes data acquisition, processing, model development, validation, and implementation to process medical images, genetic information, and patient files. The major findings of this research work clearly show that AI can greatly improve the accuracy of medical diagnostics, enable early detection of diseases, minimise human errors, and allow personalised treatment strategies. These improvements make it possible to have more efficient and cost-effective healthcare, especially in radiology, pathology, dermatology, and cardiology. The findings of this research work clearly indicate that AI has the potential to revolutionise the healthcare industry by improving the accuracy of medical diagnostics and making quality healthcare accessible to everyone.

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