Cardiovascular/Stroke Risk Assessment in Patients with Erectile Dysfunction-A Role of Carotid Wall Arterial Imaging and Plaque Tissue Characterization Using Artificial Intelligence Paradigm: A Narrative Review.
Narendra N KhannaMahesh MaindarkarAjit SaxenaPuneet AhluwaliaSudip PaulSaurabh K SrivastavaElisa Cuadrado GodiaAditya SharmaTomaz OmerzuLuca SabaSophie I MavrogeniMonika TurkJohn R LairdGeorge D KitasMostafa FatemiAl Baha BarqawiMartin MinerInder M SinghAmer JohriMannudeep M KalraVikas AgarwalKosmas I ParaskevasJagjit S TejiMostafa M FaudaGyan PareekJasjit S SuriPublished in: Diagnostics (Basel, Switzerland) (2022)
We conclude that ML and DL methods are very powerful tools for the characterization of CVD/stroke in patients with varying ED conditions. We anticipate a rapid growth of these tools for early and better CVD/stroke risk management in ED patients.
Keyphrases
- artificial intelligence
- atrial fibrillation
- risk assessment
- emergency department
- end stage renal disease
- machine learning
- deep learning
- newly diagnosed
- ejection fraction
- chronic kidney disease
- prognostic factors
- cerebral ischemia
- peritoneal dialysis
- coronary artery disease
- human health
- patient reported outcomes
- blood brain barrier
- climate change
- subarachnoid hemorrhage
- sensitive detection
- quantum dots