Browsing by Author "Al-Kindi, Sadeer"

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    Artificial Intelligence, Wearables and Remote Monitoring for Heart Failure: Current and Future Applications
    (MDPI, 2022-11-26) Gautam, Nitesh; Ghanta, Sai Nikhila; Mueller, Joshua; Mansour, Munthir; Chen, Zhongning; Puente, Clara; Ha, Yu Mi; Tarun, Tushar; Dhar, Gaurav; Sivakumar, Kalai; Zhang, Yiye; Halimeh, Ahmed Abu; Nakarmi, Ukash; Al-Kindi, Sadeer; DeMazumder, Deeptankar; Al’Aref, Subhi J.; Medicine, School of Medicine
    Substantial milestones have been attained in the field of heart failure (HF) diagnostics and therapeutics in the past several years that have translated into decreased mortality but a paradoxical increase in HF-related hospitalizations. With increasing data digitalization and access, remote monitoring via wearables and implantables have the potential to transform ambulatory care workflow, with a particular focus on reducing HF hospitalizations. Additionally, artificial intelligence and machine learning (AI/ML) have been increasingly employed at multiple stages of healthcare due to their power in assimilating and integrating multidimensional multimodal data and the creation of accurate prediction models. With the ever-increasing troves of data, the implementation of AI/ML algorithms could help improve workflow and outcomes of HF patients, especially time series data collected via remote monitoring. In this review, we sought to describe the basics of AI/ML algorithms with a focus on time series forecasting and the current state of AI/ML within the context of wearable technology in HF, followed by a discussion of the present limitations, including data integration, privacy, and challenges specific to AI/ML application within healthcare.
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    The Society for Cardiovascular Magnetic Resonance Registry at 150,000
    (Elsevier, 2024-07-04) Tong, Matthew S.; Slivnick, Jeremy A.; Sharif, Behzad; Kim, Han W.; Young, Alistair A.; Sierra-Galan, Lilia M.; Mukai, Kanae; Farzaneh-Far, Afshin; Al-Kindi, Sadeer; Chan, Angel T.; Dibu, George; Elliott, Michael D.; Ferreira, Vanessa M.; Grizzard, John; Kelle, Sebastian; Lee, Simon; Malahfji, Maan; Petersen, Steffen E.; Polsani, Venkateshwar; Toro-Salazar, Olga H.; Shaikh, Kamran A.; Shenoy, Chetan; Srichai, Monvadi B.; Stojanovska, Jadranka; Tao, Qian; Wei, Janet; Weinsaft, Jonathan W.; Wince, W. Benjamin; Chudgar, Priya D.; Judd, Matthew; Judd, Robert M.; Shah, Dipan J.; Simonetti, Orlando P.; Medicine, School of Medicine
    Background: Cardiovascular magnetic resonance (CMR) is increasingly utilized to evaluate expanding cardiovascular conditions. The Society for Cardiovascular Magnetic Resonance (SCMR) Registry is a central repository for real-world clinical data to support cardiovascular research, including those relating to outcomes, quality improvement, and machine learning. The SCMR Registry is built on a regulatory-compliant, cloud-based infrastructure that houses searchable content and Digital Imaging and Communications in Medicine images. The goal of this study is to summarize the status of the SCMR Registry at 150,000 exams. Methods: The processes for data security, data submission, and research access are outlined. We interrogated the Registry and presented a summary of its contents. Results: Data were compiled from 154,458 CMR scans across 20 United States sites, containing 299,622,066 total images (∼100 terabytes of storage). Across reported values, the human subjects had an average age of 58 years (range 1 month to >90 years old), were 44% (63,070/145,275) female, 72% (69,766/98,008) Caucasian, and had a mortality rate of 8% (9,962/132,979). The most common indication was cardiomyopathy (35,369/131,581, 27%), and most frequently used current procedural terminology code was 75561 (57,195/162,901, 35%). Macrocyclic gadolinium-based contrast agents represented 89% (83,089/93,884) of contrast utilization after 2015. Short-axis cines were performed in 99% (76,859/77,871) of tagged scans, short-axis late gadolinium enhancement (LGE) in 66% (51,591/77,871), and stress perfusion sequences in 30% (23,241/77,871). Mortality data demonstrated increased mortality in patients with left ventricular ejection fraction <35%, the presence of wall motion abnormalities, stress perfusion defects, and infarct LGE, compared to those without these markers. There were 456,678 patient-years of all-cause mortality follow-up, with a median follow-up time of 3.6 years. Conclusion: The vision of the SCMR Registry is to promote evidence-based utilization of CMR through a collaborative effort by providing a web mechanism for centers to securely upload de-identified data and images for research, education, and quality control. The Registry quantifies changing practice over time and supports large-scale real-world multicenter observational studies of prognostic utility.