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Archive for the ‘Echocardiography’ Category

Article SELECTION from Collection of Aviva Lev-Ari, PhD, RN Scientific Articles on PULSE on LinkedIn.com for Training Small Language Models (SLMs) in Domain-aware Content of Medical, Pharmaceutical, Life Sciences and Healthcare by 15 Subjects Matter

Posted in Alzheimer's Disease, Amino acids, Artificial Intelligence - Breakthroughs in Theories and Technologies, Artificial Intelligence Applications in Health Care, Artificial Intelligence in Health Care - Tools & Innovations, Artificial Intelligence in Medicine - Application for Diagnosis, Artificial Intelligence in Medicine - Applications in Therapeutics, Autophagosome, Big Data, Bio Instrumentation in Experimental Life Sciences Research, Biochemical pathways, Ca2+ triggered activation, Ca2+ triggered activation, Calcium, Calcium Signaling, Calmodulin Kinase and Contraction, CANCER BIOLOGY & Innovations in Cancer Therapy, cancer metabolism, Cancer-Immune Interactions, Cell Biology, Signaling & Cell Circuits, Cell Processing System in Cell Therapy Process Development, cell-based therapy, Chemical Biology and its relations to Metabolic Disease, Circulating Tumor Cells (CTC), combination immunotherapies., CT, Deep Learning, Echocardiography, Engineering Better T Cells, Enzymes and isoenzymes, Epigenetics and Environmental Factors, Exosomes, Genome Biology, Genomic Expression, Genomic Testing: Methodology for Diagnosis, Immune Engineering, Immune Modulatory, Immunotherapy, Intelligent Information Systems, Liquid Biopsy Chip detects an array of metastatic cancer cell markers in blood, LPBI Group, e-Scientific Media, DFP, R&D-M3DP, R&D-Drug Discovery, US Patents: SOPs and Team Management, Machine Learning, Mechanical Assist Devices: LVAD, RVAD, BiVAD, Artificial Heart, Medical Devices R&D Investment, Medical Imaging Technology, Medical Imaging Technology, Image Processing/Computing, MRI, CT, Nuclear Medicine, Ultra Sound, Metabolic Immuno-Oncology, Metabolism, Microbiome and Responses to Cancer Therapy, Modulating Macrophages in Cancer Immunotherapy, MRI, mRNA, mRNA Therapeutics, Natural Language Processing (NLP), Neurodegenerative Diseases, NK Cell-Based Cancer Immunotherapy, Noninvasive Diagnostic Fractional Flow Reserve (FFR) CT, Nutrition, Nutrition and Phytochemistry, Nutrition Disorders, Nutritional Supplements: Atherogenesis, lipid metabolism, Pancreatic cancer, Patient-centered Medicine, PCI, Peripheral Arterial Disease & Peripheral Vascular Surgery, Personalized and Precision Medicine & Genomic Research, Precision Cancer Medicine, Prostate Cancer: Monitoring vs Treatment, Proteins, Proteomics, Robotic-assisted percutaneous coronary intervention, Robotically assisted Cardiothoracic Surgery, stem cell biology and patient-specific, Surgical Procedure, Synthetic Immunology: Hacking Immune Cells, Transcatheter Aortic Valve Replacement via the Transcarotid Access, tumor microenvironment, Ubiquitin, Ultra Sound, Variation in human protein-coding regions on January 10, 2026| Leave a Comment »

Article SELECTION from Collection of Aviva Lev-Ari, PhD, RN Scientific Articles on PULSE on LinkedIn.com for Training Small Language Models (SLMs) in Domain-aware Content of Medical, Pharmaceutical, Life Sciences and Healthcare by 15 Subjects Matter

Article selection: Aviva Lev-Ari, PhD, RN

 

#1 – February 20, 2016

Contributions to Personalized and Precision Medicine & Genomic Research

Author: Larry H. Bernstein, MD, FCAP

https://www.linkedin.com/pulse/contributions-personalized-precision-medicine-genomic-aviva/?trackingId=IXDBMmp4SR6vVYaXKPmfqQ%3D%3D

http://pharmaceuticalintelligence.com/contributors-biographies/members-of-the-board/larry-bernstein/

 

#2 – March 31, 2016

Nutrition: Articles of Note @PharmaceuticalIntelligence.com

Author and Curators: Larry H. Bernstein, MD, FCAP and Curator: Aviva Lev-Ari, PhD, RN

https://www.linkedin.com/pulse/nutrition-articles-note-pharmaceuticalintelligencecom-aviva/?trackingId=IXDBMmp4SR6vVYaXKPmfqQ%3D%3D

 

#3 – March 31, 2016

Epigenetics, Environment and Cancer: Articles of Note @PharmaceuticalIntelligence.com

Author and Curators: Larry H. Bernstein, MD, FCAP and Curator: Aviva Lev-Ari, PhD, RN

https://www.linkedin.com/pulse/epigenetics-environment-cancer-articles-note-aviva-lev-ari-phd-rn/?trackingId=IXDBMmp4SR6vVYaXKPmfqQ%3D%3D

 

#4 – April 5, 2016

Alzheimer’s Disease: Novel Therapeutical Approaches — Articles of Note @PharmaceuticalIntelligence.com

Curators: Larry H. Bernstein, MD, FCAP and Aviva Lev-Ari, PhD, RN

https://www.linkedin.com/pulse/alzheimers-disease-novel-therapeutical-approaches-lev-ari-phd-rn/?trackingId=IXDBMmp4SR6vVYaXKPmfqQ%3D%3D

http://pharmaceuticalintelligence.com/2016/04/05/alzheimers-disease-novel-therapeutical-approaches-articles-of-note-pharmaceuticalintelligence-com/

 

#5 – April 5, 2016

Prostate Cancer: Diagnosis and Novel Treatment – Articles of Note  @PharmaceuticalIntelligence.com

Curators: Larry H. Bernstein, MD, FCAP and Aviva Lev-Ari, PhD, RN

https://www.linkedin.com/pulse/prostate-cancer-diagnosis-novel-treatment-articles-lev-ari-phd-rn/?trackingId=IXDBMmp4SR6vVYaXKPmfqQ%3D%3D

http://pharmaceuticalintelligence.com/2016/04/05/prostate-cancer-diagnosis-and-novel-treatment-articles-of-note-pharmaceuticalintelligence-com/ 

 

#6 – May 1, 2016

Immune System Stimulants: Articles of Note @pharmaceuticalintelligence.com

Curators: Larry H. Bernstein, MD, FCAP and Aviva Lev-Ari, PhD, RN

https://www.linkedin.com/pulse/immune-system-stimulants-articles-note-aviva-lev-ari-phd-rn/?trackingId=IXDBMmp4SR6vVYaXKPmfqQ%3D%3D

 

#7 – May 26, 2016

Pancreatic Cancer: Articles of Note @PharmaceuticalIntelligence.com

Curator: Aviva Lev-Ari, PhD, RN

https://www.linkedin.com/pulse/pancreatic-cancer-articles-note-aviva-lev-ari-phd-rn/?trackingId=0AT4eUwMQZiEXyEOqo58Ng%3D%3D

 

#8 – August 23, 2017

Proteomics, Metabolomics, Signaling Pathways, and Cell Regulation – Articles of Note, LPBI Group’s Scientists @ http://pharmaceuticalintelligence.com

Curators: Larry H. Bernstein, MD, FCAP and Aviva Lev-Ari, PhD, RN

https://www.linkedin.com/pulse/proteomics-metabolomics-signaling-pathways-cell-lev-ari-phd-rn/?trackingId=0AT4eUwMQZiEXyEOqo58Ng%3D%3D

 

#9 – August 17, 2017

Articles of Note on Signaling and Metabolic Pathways published by the Team of LPBI Group in @pharmaceuticalintelligence.com

Curator: Aviva Lev-Ari, PhD, RN

https://www.linkedin.com/pulse/articles-note-signaling-metabolic-pathways-published-aviva/?trackingId=0AT4eUwMQZiEXyEOqo58Ng%3D%3D

 

#10 – October 8, 2017

What do we know on Exosomes?

Curator: Aviva Lev-Ari, PhD, RN

https://www.linkedin.com/pulse/what-do-we-know-exosomes-aviva-lev-ari-phd-rn/?trackingId=0AT4eUwMQZiEXyEOqo58Ng%3D%3D

 

#11 – September 1, 2017

Articles on Minimally Invasive Surgery (MIS) in Cardiovascular Diseases by the Team @Leaders in Pharmaceutical Business Intelligence (LPBI) Group

Curator: Aviva Lev-Ari, PhD, RN

https://www.linkedin.com/pulse/articles-minimally-invasive-surgery-mis-diseases-team-aviva/?trackingId=CPyrP0SNQq2X9N4pSubFxQ%3D%3D

 

#12 – August 13, 2018

MedTech & Medical Devices for Cardiovascular Repair – Contributions by LPBI Team to Cardiac Imaging, Cardiothoracic Surgical Procedures and PCI

Curator: Aviva Lev-Ari, PhD, RN

https://www.linkedin.com/pulse/medtech-medical-devices-cardiovascular-repair-lpbi-lev-ari-phd-rn/?trackingId=5EFVlg%2BQRLO5i%2FfGBEN2FQ%3D%3D

 

#13 – May 24, 2019

Resources on Artificial Intelligence in Health Care and in Medicine: Articles of Note at PharmaceuticalIntelligence.com @AVIVA1950 @pharma_BI

Curator: Aviva Lev-Ari, PhD, RN

https://www.linkedin.com/pulse/resources-artificial-intelligence-health-care-note-lev-ari-phd-rn/?trackingId=5EFVlg%2BQRLO5i%2FfGBEN2FQ%3D%3D

 

#14 – December 19, 2025

AI in Health: The Voice of Aviva Lev-Ari, PhD, RN

Curator: Aviva Lev-Ari, PhD, RN

https://www.linkedin.com/pulse/ai-health-voice-aviva-lev-ari-phd-rn-aviva-lev-ari-phd-rn-xgqie/?trackingId=5EFVlg%2BQRLO5i%2FfGBEN2FQ%3D%3D

 

#15 – January 7, 2026

NEW Foundation Multimodal Model in Healthcare: LPBI Group’s Domain-aware Corpus for 2025 Grok 4.1 Causal Reasoning & Novel Biomedical Relationships

Aviva Lev-Ari, PhD, RN, Founder of LPBI Group

https://www.linkedin.com/pulse/new-foundation-multimodal-model-healthcare-lpbi-2025-aviva-40h1e/?trackingId=5EFVlg%2BQRLO5i%2FfGBEN2FQ%3D%3D

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Application of Natural Language Processing (NLP) on ~1MM cases of semi-structured echocardiogram reports: Identification of aortic stenosis (AS) cases – Accuracy comparison to administrative diagnosis codes (IDC 9/10 codes)

Posted in Aortic Valve: TAVR, TAVI vs Open Heart Surgery, Cardiac and Cardiovascular Surgical Procedures, Echocardiography, Frontiers in Cardiology and Cardiovascular Disorders, Medical Imaging Technology, Image Processing/Computing, MRI, CT, Nuclear Medicine, Ultra Sound, Natural Language Processing (NLP), tagged , , , , on April 28, 2021| Leave a Comment »

 

Application of Natural Language Processing (NLP) on ~1MM cases of semi-structured echocardiogram reports: Identification of aortic stenosis (AS) cases – Accuracy comparison to administrative diagnosis codes (IDC 9/10 codes)

Reporter and Curator: Aviva Lev-Ari, PhD, RN

Large-Scale Identification of Aortic Stenosis and its Severity Using Natural Language Processing on Electronic Health Records

Background Systematic case identification is critical to improving population health, but widely used diagnosis code-based approaches for conditions like valvular heart disease are inaccurate and lack specificity. Objective To develop and validate natural language processing (NLP) algorithms to identify aortic stenosis (AS) cases and associated parameters from semi-structured echocardiogram reports and compare its accuracy to administrative diagnosis codes. Methods Using 1,003 physician-adjudicated echocardiogram reports from Kaiser Permanente Northern California, a large, integrated healthcare system (>4.5 million members), NLP algorithms were developed and validated to achieve positive and negative predictive values >95% for identifying AS and associated echocardiographic parameters. Final NLP algorithms were applied to all adult echocardiography reports performed between 2008-2018, and compared to ICD-9/10 diagnosis code-based definitions for AS found from 14 days before to six months after the procedure date. Results A total of 927,884 eligible echocardiograms were identified during the study period among 519,967 patients. Application of the final NLP algorithm classified 104,090 (11.2%) echocardiograms with any AS (mean age 75.2 years, 52% women), with only 67,297 (64.6%) having a diagnosis code for AS between 14 days before and up to six months after the associated echocardiogram. Among those without associated diagnosis codes, 19% of patients had hemodynamically significant AS (i.e., greater than mild disease). Conclusion A validated NLP algorithm applied to a systemwide echocardiography database was substantially more accurate than diagnosis codes for identifying AS. Leveraging machine learning-based approaches on unstructured EHR data can facilitate more effective individual and population management than using administrative data alone.

Large-scale identification of aortic stenosis and its severity using natural language processing on electronic health records

Author links open overlay panel

Matthew D.SolomonMD, PhD∗†GraceTabadaMPH∗AmandaAllen∗Sue HeeSungMPH∗Alan S.GoMD∗‡§‖

∗

Division of Research, Kaiser Permanente Northern California, Oakland, California

†

Department of Cardiology, Kaiser Oakland Medical Center, Oakland, California

‡

Department of Health Systems Science, Kaiser Permanente Bernard J. Tyson School of Medicine, Pasadena, California

§

Departments of Epidemiology, Biostatistics and Medicine, University of California, San Francisco, San Francisco, California

‖

Department of Medicine, Stanford University, Stanford, California

Available online 18 March 2021.

https://www.sciencedirect.com/science/article/pii/S2666693621000256

Background

Systematic case identification is critical to improving population health, but widely used diagnosis code–based approaches for conditions like valvular heart disease are inaccurate and lack specificity.

Objective

To develop and validate natural language processing (NLP) algorithms to identify aortic stenosis (AS) cases and associated parameters from semi-structured echocardiogram reports and compare their accuracy to administrative diagnosis codes.

Methods

Using 1003 physician-adjudicated echocardiogram reports from Kaiser Permanente Northern California, a large, integrated healthcare system (>4.5 million members), NLP algorithms were developed and validated to achieve positive and negative predictive values > 95% for identifying AS and associated echocardiographic parameters. Final NLP algorithms were applied to all adult echocardiography reports performed between 2008 and 2018 and compared to ICD-9/10 diagnosis code–based definitions for AS found from 14 days before to 6 months after the procedure date.

Results

A total of 927,884 eligible echocardiograms were identified during the study period among 519,967 patients. Application of the final NLP algorithm classified 104,090 (11.2%) echocardiograms with any AS (mean age 75.2 years, 52% women), with only 67,297 (64.6%) having a diagnosis code for AS between 14 days before and up to 6 months after the associated echocardiogram. Among those without associated diagnosis codes, 19% of patients had hemodynamically significant AS (ie, greater than mild disease).

Conclusion

A validated NLP algorithm applied to a systemwide echocardiography database was substantially more accurate than diagnosis codes for identifying AS. Leveraging machine learning–based approaches on unstructured electronic health record data can facilitate more effective individual and population management than using administrative data alone.

Keywords

Aortic stenosis Echocardiography Machine learning Population health Quality and outcomes Valvular heart disease

SOURCE

https://www.sciencedirect.com/science/article/pii/S2666693621000256

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Carotid ultrasound maximum plaque height: A sensitive imaging biomarker for the assessment of significant coronary artery disease

Posted in Echocardiography, Vascular Diseases on July 18, 2015| Leave a Comment »

Carotid ultrasound maximum plaque height: A sensitive imaging biomarker for the assessment of significant coronary artery disease

Reporter: Aviva Lev-Ari, PhD, RN

 

 

Echocardiography

Sourced through Scoop.it from: www.mdlinx.com

See on Scoop.it – Cardiovascular and vascular imaging

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