Table 1 Applications of artificial intelligence in various medical fields
Medical Field | Application | Description |
|---|---|---|
Radiology | Image Interpretation | CNNs detect tumors, fractures in X-rays, CT, MRI |
Rapid data analysis, reduce human error | ||
Improve image quality | ||
Cardiology | Predictive Analytics & Personalized Medicine | Predict heart attacks, strokes |
Analyze EHR, imaging, genetic data | ||
Enhance echocardiogram & ECG interpretation | ||
Oncology | Cancer Diagnosis & Treatment Planning | CNNs detect cancer in histopathology, genomic date |
Early diagnosis | ||
Personalized treatment plans, optimize radiation doses | ||
Ophthalmology | Retinal Imaging | Detect diabetic retinopathy, glaucoma, AMD |
Pathology | Biopsy Sample Analysis | Auto-detect abnormal cells |
Emergency Medicine | Triage Systems | Prioritize patients based on severity and optimize resource allocation |
Dermatology | Skin Image Analysis | Identify melanoma, other conditions and improve early detection and treatment |