Pub Date : 2025-12-01Epub Date: 2024-11-05DOI: 10.1007/s11936-024-01059-x
Gift Echefu, Ladislav Batalik, Abdulkareem Lukan, Rushabh Shah, Priyanshu Nain, Avirup Guha, Sherry-Ann Brown
Purpose of review: A critical evaluation of contemporary literature regarding the role of big data, artificial intelligence, and digital technologies in precision cardio-oncology care and survivorship, emphasizing innovative and groundbreaking endeavors.
Recent findings: Artificial intelligence (AI) algorithm models can automate the risk assessment process and augment current subjective clinical decision tools. AI, particularly machine learning (ML), can identify medically significant patterns in large data sets. Machine learning in cardio-oncology care has great potential in screening, diagnosis, monitoring, and managing cancer therapy-related cardiovascular complications. To this end, large-scale imaging data and clinical information are being leveraged in training efficient AI algorithms that may lead to effective clinical tools for caring for this vulnerable population. Telemedicine may benefit cardio-oncology patients by enhancing healthcare delivery through lowering costs, improving quality, and personalizing care. Similarly, the utilization of wearable biosensors and mobile health technology for remote monitoring holds the potential to improve cardio-oncology outcomes through early intervention and deeper clinical insight. Investigations are ongoing regarding the application of digital health tools such as telemedicine and remote monitoring devices in enhancing the functional status and recovery of cancer patients, particularly those with limited access to centralized services, by increasing physical activity levels and providing access to rehabilitation services.
Summary: In recent years, advances in cancer survival have increased the prevalence of patients experiencing cancer therapy-related cardiovascular complications. Traditional cardio-oncology risk categorization largely relies on basic clinical features and physician assessment, necessitating advancements in machine learning to create objective prediction models using diverse data sources. Healthcare disparities may be perpetuated through AI algorithms in digital health technologies. In turn, this may have a detrimental effect on minority populations by limiting resource allocation. Several AI-powered innovative health tools could be leveraged to bridge the digital divide and improve access to equitable care.
{"title":"The Digital Revolution in Medicine: Applications in Cardio-Oncology.","authors":"Gift Echefu, Ladislav Batalik, Abdulkareem Lukan, Rushabh Shah, Priyanshu Nain, Avirup Guha, Sherry-Ann Brown","doi":"10.1007/s11936-024-01059-x","DOIUrl":"10.1007/s11936-024-01059-x","url":null,"abstract":"<p><strong>Purpose of review: </strong>A critical evaluation of contemporary literature regarding the role of big data, artificial intelligence, and digital technologies in precision cardio-oncology care and survivorship, emphasizing innovative and groundbreaking endeavors.</p><p><strong>Recent findings: </strong>Artificial intelligence (AI) algorithm models can automate the risk assessment process and augment current subjective clinical decision tools. AI, particularly machine learning (ML), can identify medically significant patterns in large data sets. Machine learning in cardio-oncology care has great potential in screening, diagnosis, monitoring, and managing cancer therapy-related cardiovascular complications. To this end, large-scale imaging data and clinical information are being leveraged in training efficient AI algorithms that may lead to effective clinical tools for caring for this vulnerable population. Telemedicine may benefit cardio-oncology patients by enhancing healthcare delivery through lowering costs, improving quality, and personalizing care. Similarly, the utilization of wearable biosensors and mobile health technology for remote monitoring holds the potential to improve cardio-oncology outcomes through early intervention and deeper clinical insight. Investigations are ongoing regarding the application of digital health tools such as telemedicine and remote monitoring devices in enhancing the functional status and recovery of cancer patients, particularly those with limited access to centralized services, by increasing physical activity levels and providing access to rehabilitation services.</p><p><strong>Summary: </strong>In recent years, advances in cancer survival have increased the prevalence of patients experiencing cancer therapy-related cardiovascular complications. Traditional cardio-oncology risk categorization largely relies on basic clinical features and physician assessment, necessitating advancements in machine learning to create objective prediction models using diverse data sources. Healthcare disparities may be perpetuated through AI algorithms in digital health technologies. In turn, this may have a detrimental effect on minority populations by limiting resource allocation. Several AI-powered innovative health tools could be leveraged to bridge the digital divide and improve access to equitable care.</p>","PeriodicalId":35912,"journal":{"name":"Current Treatment Options in Cardiovascular Medicine","volume":"27 1","pages":""},"PeriodicalIF":0.8,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11600984/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142751885","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-01-02DOI: 10.1007/s11936-023-01030-2
Susan Dent, Ryan K Rader, Olivia White, Brandy Patterson, Heather N. Moore
{"title":"Moving Beyond Cardiotoxicity Detection to Prevention: A Pharmacologic Review","authors":"Susan Dent, Ryan K Rader, Olivia White, Brandy Patterson, Heather N. Moore","doi":"10.1007/s11936-023-01030-2","DOIUrl":"https://doi.org/10.1007/s11936-023-01030-2","url":null,"abstract":"","PeriodicalId":35912,"journal":{"name":"Current Treatment Options in Cardiovascular Medicine","volume":"19 11","pages":"1-12"},"PeriodicalIF":0.0,"publicationDate":"2024-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139124820","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-12-20DOI: 10.1007/s11936-023-01025-z
Tarryn Tertulien, Kelvin Bush, L. R. Jackson, U. Essien, Lauren Eberly
{"title":"Racial and Ethnic Disparities in Implantable Cardioverter-Defibrillator Utilization: A Contemporary Review","authors":"Tarryn Tertulien, Kelvin Bush, L. R. Jackson, U. Essien, Lauren Eberly","doi":"10.1007/s11936-023-01025-z","DOIUrl":"https://doi.org/10.1007/s11936-023-01025-z","url":null,"abstract":"","PeriodicalId":35912,"journal":{"name":"Current Treatment Options in Cardiovascular Medicine","volume":"11 11","pages":"1-21"},"PeriodicalIF":0.0,"publicationDate":"2023-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139168721","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-12-15DOI: 10.1007/s11936-023-01024-0
Antonia Chan, Stefan Torelli, Evaline Cheng, Ryan Batchelder, S. Waliany, Joel Neal, Ronald M Witteles, Patricia K Nguyen, Paul Cheng, Han Zhu
{"title":"Immunotherapy-Associated Atherosclerosis: A Comprehensive Review of Recent Findings and Implications for Future Research","authors":"Antonia Chan, Stefan Torelli, Evaline Cheng, Ryan Batchelder, S. Waliany, Joel Neal, Ronald M Witteles, Patricia K Nguyen, Paul Cheng, Han Zhu","doi":"10.1007/s11936-023-01024-0","DOIUrl":"https://doi.org/10.1007/s11936-023-01024-0","url":null,"abstract":"","PeriodicalId":35912,"journal":{"name":"Current Treatment Options in Cardiovascular Medicine","volume":"48 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138995984","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-12-02DOI: 10.1007/s11936-023-01029-9
Alexander Hutchinson, Nicolas K. Goff, Nicole Cain, Peter N. Dean, Deepak Kamat, Lanier Jackson
{"title":"Who Should Interpret Screening Preparticipation ECGs in Young Athletes?","authors":"Alexander Hutchinson, Nicolas K. Goff, Nicole Cain, Peter N. Dean, Deepak Kamat, Lanier Jackson","doi":"10.1007/s11936-023-01029-9","DOIUrl":"https://doi.org/10.1007/s11936-023-01029-9","url":null,"abstract":"","PeriodicalId":35912,"journal":{"name":"Current Treatment Options in Cardiovascular Medicine","volume":"111 49","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138607630","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-11-22DOI: 10.1007/s11936-023-01023-1
Albert Vien, Poornima Balaji, Pierre C. Qian
{"title":"Autonomic Modulation Options in Cardiovascular Disease Treatment: Current and Emerging","authors":"Albert Vien, Poornima Balaji, Pierre C. Qian","doi":"10.1007/s11936-023-01023-1","DOIUrl":"https://doi.org/10.1007/s11936-023-01023-1","url":null,"abstract":"","PeriodicalId":35912,"journal":{"name":"Current Treatment Options in Cardiovascular Medicine","volume":"40 1","pages":"1-18"},"PeriodicalIF":0.0,"publicationDate":"2023-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139249538","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-11-21DOI: 10.1007/s11936-023-01022-2
Daniel Grubman, Scott Grubman, Claudia See, Thomas Breen, Jiun-Ruey Hu, S. E. Altin
{"title":"Digital Tools for Decision-Making in Coronary Artery Disease","authors":"Daniel Grubman, Scott Grubman, Claudia See, Thomas Breen, Jiun-Ruey Hu, S. E. Altin","doi":"10.1007/s11936-023-01022-2","DOIUrl":"https://doi.org/10.1007/s11936-023-01022-2","url":null,"abstract":"","PeriodicalId":35912,"journal":{"name":"Current Treatment Options in Cardiovascular Medicine","volume":"19 9","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139254212","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-11-09DOI: 10.1007/s11936-023-01020-4
Thomas Meredith, David Roy, David Muller, Mayooran Namasivayam
Abstract Purpose of review This review aims to update healthcare providers on contemporary diagnostic and treatment information pertaining to aortic stenosis. Recent findings The prevalence of aortic stenosis continues to increase, and so does the burden of treatable disease. This has important implications for healthcare systems and the economy. Accurate classification of aortic stenosis severity and determining optimal treatment timing remains a prime challenge to treating physicians. Furthermore, the drastic uptake of transcatheter aortic valve replacement has generated novel issues pertaining to younger patients whose post-intervention survival now exceeds device durability. Summary The keys to optimizing patient outcomes are delivering accuracy in disease classification, treatment selection and timing and procedural planning.
{"title":"A Clinician’s Guide to the Changing Aortic Stenosis Landscape: Updates in Aortic Stenosis Diagnosis, Surveillance and Management","authors":"Thomas Meredith, David Roy, David Muller, Mayooran Namasivayam","doi":"10.1007/s11936-023-01020-4","DOIUrl":"https://doi.org/10.1007/s11936-023-01020-4","url":null,"abstract":"Abstract Purpose of review This review aims to update healthcare providers on contemporary diagnostic and treatment information pertaining to aortic stenosis. Recent findings The prevalence of aortic stenosis continues to increase, and so does the burden of treatable disease. This has important implications for healthcare systems and the economy. Accurate classification of aortic stenosis severity and determining optimal treatment timing remains a prime challenge to treating physicians. Furthermore, the drastic uptake of transcatheter aortic valve replacement has generated novel issues pertaining to younger patients whose post-intervention survival now exceeds device durability. Summary The keys to optimizing patient outcomes are delivering accuracy in disease classification, treatment selection and timing and procedural planning.","PeriodicalId":35912,"journal":{"name":"Current Treatment Options in Cardiovascular Medicine","volume":" 22","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135192679","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
扫码关注我们
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号