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Open access

Karthik Seetharam, Nobuyuki Kagiyama, and Partho P Sengupta

The intersection of global broadband technology and miniaturized high-capability computing devices has led to a revolution in the delivery of healthcare and the birth of telemedicine and mobile health (mHealth). Rapid advances in handheld imaging devices with other mHealth devices such as smartphone apps and wearable devices are making great strides in the field of cardiovascular imaging like never before. Although these technologies offer a bright promise in cardiovascular imaging, it is far from straightforward. The massive data influx from telemedicine and mHealth including cardiovascular imaging supersedes the existing capabilities of current healthcare system and statistical software. Artificial intelligence with machine learning is the one and only way to navigate through this complex maze of the data influx through various approaches. Deep learning techniques are further expanding their role by image recognition and automated measurements. Artificial intelligence provides limitless opportunity to rigorously analyze data. As we move forward, the futures of mHealth, telemedicine and artificial intelligence are increasingly becoming intertwined to give rise to precision medicine.

Open access

Ines Sherifi, Alaa Mabrouk Salem Omar, Mithun Varghese, Menachem Weiner, Ani Anyanwu, Jason C Kovacic, Samin Sharma, Annapoorna Kini, and Partho P Sengupta

The optimal periprocedural imaging strategy during transcathether aortic valve replacement (TAVR) performed under moderate sedation is debated. Transthoracic echocardiography (TTE) provides suboptimal views due to poorer resolution and patient positioning, whereas use of transesophageal echocardiography (TEE) under moderate sedation is not widely utilized. The aim of our study was to compare the value of TTE in comparison with TEE guidance under moderate sedation during TAVR. The study population included 144 consecutive patients (mean age 83 ± 11 years, 78 (54%) females) who had TAVR under moderate sedation using either a TTE (n = 96) or TEE (n = 48). We compared procedural outcomes using propensity score matching. There were no significant inter-group differences in age, sex, ejection fraction, aortic valve area, pressure gradients, creatinine or type of valve used. The procedural time was significantly shorter in the TEE group (P < 0.001) and associated with a lower need for periprocedural aortograms (7.7 ± 1.9 vs 8.2 ± 1.9, P = 0.022) and a lower occurrence of acute kidney injury (1 vs 11, P = 0.047). The 1:1 propensity score matching also showed a lower procedural time (P = 0.032), number of aortograms (P = 0.014) and a trend toward lower acute kidney injury in the TEE group (P = 0.077). TAVR guidance using TEE is associated with a lower fluoroscopic time, a lower need for additional aortograms and trend in lower occurrence of post-TAVR acute kidney injury.