Artificial intelligence in medicine: Current applications in cardiology, oncology, and radiology

Table 1 Purposes of using artificial intelligence in fields of cardiology, oncology, and radiology

Cardiology	Pathology	Radiology
Detecting rhythm and wave abnormalities in the electrocardiography	Lesion segmentation and classification	Reducing artifacts and noise
Diagnosing hypertrophic cardiomyopathy	Detection of CT nodules in the lungs	Synthesizing pseudo-images
Noise reduction in echocardiography	Assessing hormonal and genetic status of lesions	PET image reconstruction
Cardiac MRI using VNE technology	Improving mammography sensitivity	MRI radiotherapy programs only
Cardiac enzyme classification	Prognostic prediction and staging	Emergency room clinical assistance
Cardiac resynchronization therapy adjustment	Detection of metastases	Standardization of anatomical landmark measurements

MRI: Magnetic resonance imaging; VNE: Virtual native enhancement; CT: Computed tomography; PET: Positron emission tomography.