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Deep Learning Validates Aortic Stenosis Tracking 01/15/26
Welcome to Cardiology Today – Recorded January 15, 2026. This episode summarizes 5 key cardiology studies on topics like disease progression and Heart failure. Key takeaway: Deep Learning Validates Aortic Stenosis Tracking.
Article Links:
Article 1: Algorithm to Reduce Inter-Rater Variability in Assessment of Intermacs Patient Profiles. (The Journal of heart and lung transplantation : the official publication of the International Society for Heart Transplantation)
Article 2: Heart Failure Risk in Patients With Systemic Autoimmune Inflammatory Diseases. (Journal of the American Heart Association)
Article 3: Enlarged Perivascular Spaces Among Hispanic and Latino Adults in SOL-INCA-MRI. (Journal of the American Heart Association)
Article 4: Longitudinal Validation of a Deep Learning Index for Aortic Stenosis Progression. (Journal of the American Heart Association)
Article 5: Association Between High-Density Lipoprotein-to-Low-Density Lipoprotein Ratio and Clinical Outcomes in Intracerebral Hemorrhage: Results From a Multicenter Prospective Registry. (Journal of the American Heart Association)
Full episode page: https://podcast.explainheart.com/podcast/deep-learning-validates-aortic-stenosis-tracking-01-15-26/
Featured Articles
Article 1: Algorithm to Reduce Inter-Rater Variability in Assessment of Intermacs Patient Profiles.
Journal: The Journal of heart and lung transplantation : the official publication of the International Society for Heart Transplantation
PubMed Link: https://pubmed.ncbi.nlm.nih.gov/41534742
Summary: Provider variability in Intermacs Patient Profile assignments previously existed during durable left ventricular assist device implantation. To address this, a novel algorithm was successfully developed to standardize the derivation of a patient’s Intermacs Patient Profile acuity. This algorithm assists clinicians in making more consistent patient acuity assessments for durable left ventricular assist device candidacy.
Article 2: Heart Failure Risk in Patients With Systemic Autoimmune Inflammatory Diseases.
Journal: Journal of the American Heart Association
PubMed Link: https://pubmed.ncbi.nlm.nih.gov/41532552
Summary: Heart failure represents a significant cause of morbidity and mortality among patients with systemic autoimmune inflammatory diseases. A retrospective cohort study of 182795 adult patients with these conditions successfully described the specific heart failure risk profiles within this population. The study also identified associations between cardiovascular drug use and the occurrence of incident heart failure. This provides important information on cardiac disease burden and potential therapeutic impacts in systemic autoimmune inflammatory diseases.
Article 3: Enlarged Perivascular Spaces Among Hispanic and Latino Adults in SOL-INCA-MRI.
Journal: Journal of the American Heart Association
PubMed Link: https://pubmed.ncbi.nlm.nih.gov/41532550
Summary: The study identified preliminary associations between enlarged perivascular spaces and cerebrovascular small-vessel disease, cortical atrophy, and cognitive impairment. These findings were observed in a select cohort of Hispanic and Latino adults. This research specifically addressed the underrepresentation of this population in dementia research, despite their higher prevalence of dementia and vascular disease. Brain magnetic resonance imaging was utilized to investigate these critical cerebrovascular markers.
Article 4: Longitudinal Validation of a Deep Learning Index for Aortic Stenosis Progression.
Journal: Journal of the American Heart Association
PubMed Link: https://pubmed.ncbi.nlm.nih.gov/41532549
Summary: This study successfully validated a deep learning-derived index for Aortic Stenosis continuum, demonstrating its longitudinal changes over time. The index’s prognostic association with progression to severe aortic stenosis was confirmed. Researchers retrospectively analyzed data from 2373 patients, encompassing 7371 transthoracic echocardiograms, to establish these findings. This provides a robust method for disease tracking in progressive aortic stenosis.
Article 5: Association Between High-Density Lipoprotein-to-Low-Density Lipoprotein Ratio and Clinical Outcomes in Intracerebral Hemorrhage: Results From a Multicenter Prospective Registry.
Journal: Journal of the American Heart Association
PubMed Link: https://pubmed.ncbi.nlm.nih.gov/41532543
Summary: This study investigated the relationship between high-density lipoprotein to low-density lipoprotein ratios and long-term clinical outcomes in patients with intracerebral hemorrhage. The research successfully characterized the associations of these lipidemic profiles with functional dependence and mortality. Findings were derived from a multicenter prospective registry, providing real-world data on intracerebral hemorrhage outcomes. This addresses a knowledge gap regarding lipidemic profiles in intracerebral hemorrhage compared to ischemic stroke.
Transcript
Today’s date is January 15, 2026. Welcome to Cardiology Today. Here are the latest research findings.
Article number one. Algorithm to Reduce Inter-Rater Variability in Assessment of Intermacs Patient Profiles. Provider variability in Intermacs Patient Profile assignments previously existed during durable left ventricular assist device implantation. To address this, a novel algorithm was successfully developed to standardize the derivation of a patient’s Intermacs Patient Profile acuity. This algorithm assists clinicians in making more consistent patient acuity assessments for durable left ventricular assist device candidacy.
Article number two. Heart Failure Risk in Patients With Systemic Autoimmune Inflammatory Diseases. Heart failure represents a significant cause of morbidity and mortality among patients with systemic autoimmune inflammatory diseases. A retrospective cohort study of 182795 adult patients with these conditions successfully described the specific heart failure risk profiles within this population. The study also identified associations between cardiovascular drug use and the occurrence of incident heart failure. This provides important information on cardiac disease burden and potential therapeutic impacts in systemic autoimmune inflammatory diseases.
Article number three. Enlarged Perivascular Spaces Among Hispanic and Latino Adults in SOL-INCA-MRI. The study identified preliminary associations between enlarged perivascular spaces and cerebrovascular small-vessel disease, cortical atrophy, and cognitive impairment. These findings were observed in a select cohort of Hispanic and Latino adults. This research specifically addressed the underrepresentation of this population in dementia research, despite their higher prevalence of dementia and vascular disease. Brain magnetic resonance imaging was utilized to investigate these critical cerebrovascular markers.
Article number four. Longitudinal Validation of a Deep Learning Index for Aortic Stenosis Progression. This study successfully validated a deep learning-derived index for Aortic Stenosis continuum, demonstrating its longitudinal changes over time. The index’s prognostic association with progression to severe aortic stenosis was confirmed. Researchers retrospectively analyzed data from 2373 patients, encompassing 7371 transthoracic echocardiograms, to establish these findings. This provides a robust method for disease tracking in progressive aortic stenosis.
Article number five. Association Between High-Density Lipoprotein-to-Low-Density Lipoprotein Ratio and Clinical Outcomes in Intracerebral Hemorrhage: Results From a Multicenter Prospective Registry. This study investigated the relationship between high-density lipoprotein to low-density lipoprotein ratios and long-term clinical outcomes in patients with intracerebral hemorrhage. The research successfully characterized the associations of these lipidemic profiles with functional dependence and mortality. Findings were derived from a multicenter prospective registry, providing real-world data on intracerebral hemorrhage outcomes. This addresses a knowledge gap regarding lipidemic profiles in intracerebral hemorrhage compared to ischemic stroke.
Thank you for listening. Don’t forget to subscribe.
Keywords
disease progression, Heart failure, clinical algorithm, left ventricular assist device, magnetic resonance imaging, Hispanic and Latino adults, cardiovascular drug use, intracerebral hemorrhage, prognostic association, inter-rater variability, patient acuity, transthoracic echocardiography, functional dependence, cognitive impairment, deep learning, Aortic stenosis, mortality, Enlarged perivascular spaces, High-density lipoprotein, incident heart failure, cerebrovascular small-vessel disease, systemic autoimmune inflammatory diseases, Intermacs Patient Profiles, morbidity, low-density lipoprotein.
About
Concise summaries of cardiovascular research for professionals.
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The post Deep Learning Validates Aortic Stenosis Tracking 01/15/26 first appeared on Cardiology Today.
View all episodes
By Deconstructed CardiologyWelcome to Cardiology Today – Recorded January 15, 2026. This episode summarizes 5 key cardiology studies on topics like disease progression and Heart failure. Key takeaway: Deep Learning Validates Aortic Stenosis Tracking.
Article Links:
Article 1: Algorithm to Reduce Inter-Rater Variability in Assessment of Intermacs Patient Profiles. (The Journal of heart and lung transplantation : the official publication of the International Society for Heart Transplantation)
Article 2: Heart Failure Risk in Patients With Systemic Autoimmune Inflammatory Diseases. (Journal of the American Heart Association)
Article 3: Enlarged Perivascular Spaces Among Hispanic and Latino Adults in SOL-INCA-MRI. (Journal of the American Heart Association)
Article 4: Longitudinal Validation of a Deep Learning Index for Aortic Stenosis Progression. (Journal of the American Heart Association)
Article 5: Association Between High-Density Lipoprotein-to-Low-Density Lipoprotein Ratio and Clinical Outcomes in Intracerebral Hemorrhage: Results From a Multicenter Prospective Registry. (Journal of the American Heart Association)
Full episode page: https://podcast.explainheart.com/podcast/deep-learning-validates-aortic-stenosis-tracking-01-15-26/
Featured Articles
Article 1: Algorithm to Reduce Inter-Rater Variability in Assessment of Intermacs Patient Profiles.
Journal: The Journal of heart and lung transplantation : the official publication of the International Society for Heart Transplantation
PubMed Link: https://pubmed.ncbi.nlm.nih.gov/41534742
Summary: Provider variability in Intermacs Patient Profile assignments previously existed during durable left ventricular assist device implantation. To address this, a novel algorithm was successfully developed to standardize the derivation of a patient’s Intermacs Patient Profile acuity. This algorithm assists clinicians in making more consistent patient acuity assessments for durable left ventricular assist device candidacy.
Article 2: Heart Failure Risk in Patients With Systemic Autoimmune Inflammatory Diseases.
Journal: Journal of the American Heart Association
PubMed Link: https://pubmed.ncbi.nlm.nih.gov/41532552
Summary: Heart failure represents a significant cause of morbidity and mortality among patients with systemic autoimmune inflammatory diseases. A retrospective cohort study of 182795 adult patients with these conditions successfully described the specific heart failure risk profiles within this population. The study also identified associations between cardiovascular drug use and the occurrence of incident heart failure. This provides important information on cardiac disease burden and potential therapeutic impacts in systemic autoimmune inflammatory diseases.
Article 3: Enlarged Perivascular Spaces Among Hispanic and Latino Adults in SOL-INCA-MRI.
Journal: Journal of the American Heart Association
PubMed Link: https://pubmed.ncbi.nlm.nih.gov/41532550
Summary: The study identified preliminary associations between enlarged perivascular spaces and cerebrovascular small-vessel disease, cortical atrophy, and cognitive impairment. These findings were observed in a select cohort of Hispanic and Latino adults. This research specifically addressed the underrepresentation of this population in dementia research, despite their higher prevalence of dementia and vascular disease. Brain magnetic resonance imaging was utilized to investigate these critical cerebrovascular markers.
Article 4: Longitudinal Validation of a Deep Learning Index for Aortic Stenosis Progression.
Journal: Journal of the American Heart Association
PubMed Link: https://pubmed.ncbi.nlm.nih.gov/41532549
Summary: This study successfully validated a deep learning-derived index for Aortic Stenosis continuum, demonstrating its longitudinal changes over time. The index’s prognostic association with progression to severe aortic stenosis was confirmed. Researchers retrospectively analyzed data from 2373 patients, encompassing 7371 transthoracic echocardiograms, to establish these findings. This provides a robust method for disease tracking in progressive aortic stenosis.
Article 5: Association Between High-Density Lipoprotein-to-Low-Density Lipoprotein Ratio and Clinical Outcomes in Intracerebral Hemorrhage: Results From a Multicenter Prospective Registry.
Journal: Journal of the American Heart Association
PubMed Link: https://pubmed.ncbi.nlm.nih.gov/41532543
Summary: This study investigated the relationship between high-density lipoprotein to low-density lipoprotein ratios and long-term clinical outcomes in patients with intracerebral hemorrhage. The research successfully characterized the associations of these lipidemic profiles with functional dependence and mortality. Findings were derived from a multicenter prospective registry, providing real-world data on intracerebral hemorrhage outcomes. This addresses a knowledge gap regarding lipidemic profiles in intracerebral hemorrhage compared to ischemic stroke.
Transcript
Today’s date is January 15, 2026. Welcome to Cardiology Today. Here are the latest research findings.
Article number one. Algorithm to Reduce Inter-Rater Variability in Assessment of Intermacs Patient Profiles. Provider variability in Intermacs Patient Profile assignments previously existed during durable left ventricular assist device implantation. To address this, a novel algorithm was successfully developed to standardize the derivation of a patient’s Intermacs Patient Profile acuity. This algorithm assists clinicians in making more consistent patient acuity assessments for durable left ventricular assist device candidacy.
Article number two. Heart Failure Risk in Patients With Systemic Autoimmune Inflammatory Diseases. Heart failure represents a significant cause of morbidity and mortality among patients with systemic autoimmune inflammatory diseases. A retrospective cohort study of 182795 adult patients with these conditions successfully described the specific heart failure risk profiles within this population. The study also identified associations between cardiovascular drug use and the occurrence of incident heart failure. This provides important information on cardiac disease burden and potential therapeutic impacts in systemic autoimmune inflammatory diseases.
Article number three. Enlarged Perivascular Spaces Among Hispanic and Latino Adults in SOL-INCA-MRI. The study identified preliminary associations between enlarged perivascular spaces and cerebrovascular small-vessel disease, cortical atrophy, and cognitive impairment. These findings were observed in a select cohort of Hispanic and Latino adults. This research specifically addressed the underrepresentation of this population in dementia research, despite their higher prevalence of dementia and vascular disease. Brain magnetic resonance imaging was utilized to investigate these critical cerebrovascular markers.
Article number four. Longitudinal Validation of a Deep Learning Index for Aortic Stenosis Progression. This study successfully validated a deep learning-derived index for Aortic Stenosis continuum, demonstrating its longitudinal changes over time. The index’s prognostic association with progression to severe aortic stenosis was confirmed. Researchers retrospectively analyzed data from 2373 patients, encompassing 7371 transthoracic echocardiograms, to establish these findings. This provides a robust method for disease tracking in progressive aortic stenosis.
Article number five. Association Between High-Density Lipoprotein-to-Low-Density Lipoprotein Ratio and Clinical Outcomes in Intracerebral Hemorrhage: Results From a Multicenter Prospective Registry. This study investigated the relationship between high-density lipoprotein to low-density lipoprotein ratios and long-term clinical outcomes in patients with intracerebral hemorrhage. The research successfully characterized the associations of these lipidemic profiles with functional dependence and mortality. Findings were derived from a multicenter prospective registry, providing real-world data on intracerebral hemorrhage outcomes. This addresses a knowledge gap regarding lipidemic profiles in intracerebral hemorrhage compared to ischemic stroke.
Thank you for listening. Don’t forget to subscribe.
Keywords
disease progression, Heart failure, clinical algorithm, left ventricular assist device, magnetic resonance imaging, Hispanic and Latino adults, cardiovascular drug use, intracerebral hemorrhage, prognostic association, inter-rater variability, patient acuity, transthoracic echocardiography, functional dependence, cognitive impairment, deep learning, Aortic stenosis, mortality, Enlarged perivascular spaces, High-density lipoprotein, incident heart failure, cerebrovascular small-vessel disease, systemic autoimmune inflammatory diseases, Intermacs Patient Profiles, morbidity, low-density lipoprotein.
About
Concise summaries of cardiovascular research for professionals.
Subscribe • Share • Follow
The post Deep Learning Validates Aortic Stenosis Tracking 01/15/26 first appeared on Cardiology Today.