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