Thanks, Branislav. We wanted to give an update on our progress related to AIMIGo. Our initial clearance for the AIMIGo system will be a major milestone for the company and it’s important for many reasons. To start, we expect this to be the first patient-held 3D VECG device to be cleared by the FDA. Also, this clearance will be the basis for further FDA submissions for HeartBeam, so it’s the cornerstone of our efforts. The 3D VECG approach is an excellent platform for AI algorithms. In the longer run, we believe that applying AI algorithms on top of the rich VECG data could result in unsurpassed predictive and diagnostic capabilities. Our landmark study, published in JACC: Advances in August of last year, showed that the AIMIGo VECG technology had similar diagnostic ability as a 12-lead ECG in detecting coronary occlusions. Adding a baseline reading for comparison, which is a crucial part of our system, resulted in significantly better accuracy than a single 12-lead ECG. We have a 510(k) application under review with the FDA for our AIMIGo 3D VECG system. This is the cornerstone submission for HeartBeam and will be the basis of future regulatory efforts. The system includes the AIMIGo device, a patient application, a physician portal and wireless communications among the elements. We submitted our 510(k) application in the second quarter of 2023. The review remains active with FDA as we have successfully passed the acceptance of the filing and have completed the initial substantive review phase with questions and requests from FDA. We have conducted the agreed-upon testing to address FDA’s open questions and are in the process of finalizing our official responses. Once these are submitted, the FDA will complete their review. Our timeline remains on track and we anticipate clearance by the end of Q2 2024, followed by a limited launch of AIMIGo by the end of 2024. Following the clearance of the AIMIGo 3D VECG system, we will be working to obtain a second FDA clearance focused on the ability to offer to the physician a pair of baseline and symptomatic 12-lead ECGs, both of which are synthesized from the 3D VECG signals. This second 510(k) application is planned to be submitted to FDA by Q3 2024. A key part of this submission will be a pivotal study, our valid ECG study. As we announced in March, we’ve enrolled the first patients in this pivotal study, which is designed to validate the AIMIGo 12-lead ECG synthesis software by comparing its results with those of a standard hospital-based FDA-cleared 12-lead ECG using both quantitative and qualitative assessment methodologies. The primary objective is to demonstrate the similarities of ECG waveforms between AIMIGo’s synthesized 12-lead ECG and a standard 12-lead ECG recorded simultaneously in each subject by assessing intervals and amplitudes. In preparation for this pivotal study, we completed an 80-patient pilot study, which mirrors the pivotal study. And based on these pilot results, we plan to enroll a total of approximately 198 adult patients. Currently, we have enrolled more than 50% of the patients. We anticipate completion of enrollment of the valid ECG study in Q2 2024 in submission of the second 510(k) application by Q3 2024. As we’ve discussed on previous conference calls, we have an active AI program underway. We have acquired approximately 1 million 12-lead ECGs from various sources, a key element in our fast-paced AI development efforts. We have developed initial deep learning algorithms focused on the ability to detect various cardiac arrhythmias. HeartBeam has had data on its deep learning algorithm accepted for presentation at two prestigious electrophysiology conferences. We believe that when combined with our credit card-size AIMIGo 3D VECG technology, HeartBeam’s AI will provide additional value to patients and physicians in a number of ways, including automated classification of cardiac conditions, the potential to further enhance the user experience and simplify the onboarding process, and in the longer run, could result in unsurpassed predictive and diagnostic capabilities. The first scientific presentation on the company’s deep learning algorithm, HeartBeam AI, was at the European Heart Rhythm Association conference in April. Results were presented by Dr. Vivek Reddy, Director of Cardiac Arrhythmia Services at the Mount Sinai Hospital. The study showed that HeartBeam AI combined with VCG delivers equivalent performance to a 12-lead ECG and greatly improves detection of atrial flutter over a single-lead ECG. This presents an opportunity for a VCG-based algorithm that offers arrhythmia detection capabilities beyond what is available today. And to fill gaps in healthcare inequality when obtaining a 12-lead ECG is challenging. Additional data on our deep learning algorithm will be presented at the Heart Rhythm Society conference to be held in Boston next week. I’d like to now turn the call over to our Consulting CFO, Rick Brounstein.