Mohamad H. Yamani

ORCID: 0000-0002-3567-8773
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About
Contact & Profiles
Research Areas
  • Heart Failure Treatment and Management
  • Cardiovascular Issues in Pregnancy
  • Cardiac Structural Anomalies and Repair
  • Cardiovascular Function and Risk Factors
  • Cardiomyopathy and Myosin Studies
  • Cardiac Arrhythmias and Treatments
  • Cardiovascular Effects of Exercise
  • Cardiac tumors and thrombi
  • Congenital Heart Disease Studies
  • Cardiac Valve Diseases and Treatments
  • Chemotherapy-induced cardiotoxicity and mitigation
  • Infective Endocarditis Diagnosis and Management
  • Eosinophilic Disorders and Syndromes
  • Mechanical Circulatory Support Devices
  • Viral Infections and Immunology Research
  • Hormonal Regulation and Hypertension
  • Cardiac pacing and defibrillation studies
  • Cardiac Arrest and Resuscitation
  • Pericarditis and Cardiac Tamponade
  • Transplantation: Methods and Outcomes
  • Cerebrospinal fluid and hydrocephalus
  • Sepsis Diagnosis and Treatment
  • Myasthenia Gravis and Thymoma
  • Cell Adhesion Molecules Research
  • Cardiovascular and Diving-Related Complications

Mayo Clinic in Florida
2008-2025

WinnMed
2008-2025

Jacksonville College
2008-2024

Star Center
2024

Jackson Memorial Hospital
2023

Morehouse School of Medicine
2018

Ain Shams University
2017

Mayo Clinic
2007-2015

GTx (United States)
2008

San Francisco VA Medical Center
1993-1995

Iacopo Olivotto Artur Oręziak Roberto Barriales‐Villa Theodore P. Abraham Ahmad Masri and 94 more Pablo García‐Pavía Sara Saberi Neal K. Lakdawala Matthew T. Wheeler Anjali Owens Miloš Kubánek Wojciech Wojakowski Morten K. Jensen Juan R. Gimeno Jonathan Myers Jonathan Myers Sheila M. Hegde Scott D. Solomon Amy J. Sehnert David Zhang Wanying Li Mondira Bhattacharya Jay M. Edelberg Cynthia Burstein Waldman Steven J. Lester Carolyn Y. Ho Carolyn Y. Ho Jozef Bartúnek Jozef Bartúnek Antoine Bondue Emeline M. Van Craenenbroeck Miloš Kubánek David Zemánek Morten K. Jensen Jens Mogensen Jens Jakob Thune Philippe Charron Albert Hagège Olivier Lairez Jean‐Noël Trochu Christoph Axthelm H DUENGEN Norbert Frey Veselin Mitrović Michael Preusch Jeanette Schulz‐Menger Tim Seidler Michael Arad Majdi Halabi Amos Katz Daniel Monakier Offir Paz Samuel Viskin Donna R. Zwas Iacopo Olivotto Hans‐Peter Brunner‐La Rocca Michelle Michels Dariusz Dudek Zofia Oko−Sarnowska Artur Oręziak Wojciech Wojakowski Nuno Cardim Helder Pereira Roberto Barriales‐Villa Pablo García Pavía Juan Gimeno Blanes Rafael Hidalgo Urbano Leonardo Mejia Rincon Perry Elliott Zaheer Yousef Theodore P. Abraham Jonathan Myers Paulino Álvarez Richard G. Bach Richard C. Becker Lubna Choudhury David Fermin Jozef Bartúnek John L. Jefferies Christopher M. Kramer Neal K. Lakdawala Steven J. Lester Ali J. Marian Ahmad Masri Matthew J. Maurer Sherif F. Nagueh Anjali Owens David S. Owens Florian Rader Sara Saberi Mark V. Sherrid Jamshid Shirani John D. Symanski Aslan T. Turer Carolyn Y. Ho Omar Wever‐Pinzon Matthew T. Wheeler Timothy C. Wong Mohamad H. Yamani

10.1016/s0140-6736(20)31792-x article EN The Lancet 2020-08-29

Cardiovascular disease is a major threat to maternal health, with cardiomyopathy being among the most common acquired cardiovascular diseases during pregnancy and postpartum period. The aim of our study was evaluate effectiveness an electrocardiogram (ECG)-based deep learning model in identifying period.We used ECG-based detect cohort women who were pregnant or period seen at Mayo Clinic. Model performance evaluated using area under receiver operating characteristic curve (AUC), accuracy,...

10.1093/ehjdh/ztab078 article EN cc-by-nc European Heart Journal - Digital Health 2021-08-27

Abstract Aims Current non-invasive screening methods for cardiac allograft rejection have shown limited discrimination and are yet to be broadly integrated into heart transplant care. Given electrocardiogram (ECG) changes been reported with severe rejection, this study aimed develop a deep-learning model, form of artificial intelligence, detect using the 12-lead ECG (AI-ECG). Methods results Heart recipients were identified across three Mayo Clinic sites between 1998 2021. Twelve-lead...

10.1093/ehjdh/ztad001 article EN cc-by-nc European Heart Journal - Digital Health 2023-01-13

Nigeria has the highest reported incidence of peripartum cardiomyopathy worldwide. This open-label, pragmatic clinical trial randomized pregnant and postpartum women to usual care or artificial intelligence (AI)-guided screening assess its impact on diagnosis left ventricular systolic dysfunction (LVSD) in perinatal period. The study intervention included digital stethoscope recordings with point of-care AI predictions a 12-lead electrocardiogram asynchronous for LVSD. primary end was...

10.1038/s41591-024-03243-9 article EN cc-by-nc-nd Nature Medicine 2024-09-02

Background: Transcatheter aortic valve replacement (TAVR) is now an approved alternative to surgical for the treatment of severe stenosis. As clinical adoption TAVR expands, it remains important identify predictors mortality after TAVR. We aimed evaluate impact sex differences in calcium score (AVCS) on long-term following a large patient sample. Methods: included consecutive patients who successfully underwent native stenosis from June 2010 May 2021 across all US Mayo Clinic sites with...

10.1161/circimaging.122.014034 article EN Circulation Cardiovascular Imaging 2022-08-01

As survival in breast cancer patients from newer therapies increases, concerns for chemotherapy-induced cardiotoxicity (CIC) have offset some of these benefits, manifesting as a decline left ventricular ejection fraction (LVEF). Patients receiving anthracycline-based chemotherapy followed by trastuzumab are at risk CIC. Previous research evaluating whether clinical biomarkers predict has been inconsistent. Recently, angiotensin II type 1 receptor (ATR1) and endothelin (ET1) shown to play...

10.3390/jcm11123547 article EN Journal of Clinical Medicine 2022-06-20

To compare clinical characteristics, treatment patterns, and 30-day all-cause readmission mortality between patients hospitalized for heart failure (HF) before during the coronavirus disease 2019 (COVID-19) pandemic.The study was conducted at 16 hospitals across 3 geographically dispersed US states. The included 6769 adults (mean age, 74 years; 56% [5033 of 8989] men) with cumulative 8989 HF hospitalizations: 2341 hospitalizations COVID-19 pandemic (March 1 through October 30, 2020) 6648 in...

10.1016/j.mayocp.2022.09.005 article EN cc-by-nc-nd Mayo Clinic Proceedings 2022-09-21

This study aims to investigate the possibilities of using a simple image processing technique evaluate tomato fruit quality.According USDA standard, green, pink and red tomatoes maturity coloring index is used quality.Maturity stage fresh an important factor that affects quality during ripening marketability after ripening.Images obtained at top, bottom, side, opposite analyzed through algorithm were created in MATLAB computer software.Results analysis are compared measured calculated values...

10.21608/mjae.2017.96794 article EN Misr journal of agricultural engineering 2017-04-01
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