Artificial Intelligence (AI) enhances medical diagnostics by analyzing imaging, genetic, and clinical data with high accuracy. Deep learning models detect abnormalities in X-rays, MRIs, and pathology slides, aiding in early diagnosis of diseases like cancer and Alzheimer�s. AI also predicts patient outcomes using electronic health records.
Challenges include data privacy, algorithmic bias, and regulatory approval. Explainable AI and integration with clinical workflows are key research areas. AI�s role in telemedicine is expanding access to diagnostics.
Ashish Vishwakarma, et al. "AI in Medical Diagnostics".
OpenJournal system, VOL 1, Issue 1, Case Study.DOI: https://doi.org/0p2292374342987433