Improving Valvular Pathologies and Ventricular Dysfunction Diagnostic Efficiency Using Combined Auscultation and Electrocardiography Data: A Multimodal AI Approach.

Autor: Shiraga T; Mitsubishi Electric Inc., Kamakura 247-0056, Japan., Makimoto H; Division of Cardiology, Pulmonology and Vascular Medicine, Medical Faculty, Heinrich-Heine-University Düsseldorf, 40225 Düsseldorf, Germany.; Data Science Center/Cardiovascular Center, Jichi Medical University, Shimotsuke-City 329-0498, Japan., Kohlmann B; Division of Cardiology, Pulmonology and Vascular Medicine, Medical Faculty, Heinrich-Heine-University Düsseldorf, 40225 Düsseldorf, Germany., Magnisali CE; Division of Cardiology, Pulmonology and Vascular Medicine, Medical Faculty, Heinrich-Heine-University Düsseldorf, 40225 Düsseldorf, Germany., Imai Y; Mitsubishi Electric Inc., Kamakura 247-0056, Japan., Itani Y; Mitsubishi Electric Inc., Kamakura 247-0056, Japan., Makimoto A; Division of Cardiology, Pulmonology and Vascular Medicine, Medical Faculty, Heinrich-Heine-University Düsseldorf, 40225 Düsseldorf, Germany., Schölzel F; Division of Cardiology, Pulmonology and Vascular Medicine, Medical Faculty, Heinrich-Heine-University Düsseldorf, 40225 Düsseldorf, Germany., Bejinariu A; Division of Cardiology, Pulmonology and Vascular Medicine, Medical Faculty, Heinrich-Heine-University Düsseldorf, 40225 Düsseldorf, Germany., Kelm M; Division of Cardiology, Pulmonology and Vascular Medicine, Medical Faculty, Heinrich-Heine-University Düsseldorf, 40225 Düsseldorf, Germany.; CARID-Cardiovascular Research Institute Düsseldorf, 40225 Düsseldorf, Germany., Rana O; Division of Cardiology, Pulmonology and Vascular Medicine, Medical Faculty, Heinrich-Heine-University Düsseldorf, 40225 Düsseldorf, Germany.; CARID-Cardiovascular Research Institute Düsseldorf, 40225 Düsseldorf, Germany.

Publikováno v: Sensors (Basel, Switzerland) [Sensors (Basel)] 2023 Dec 14; Vol. 23 (24). Date of Electronic Publication: 2023 Dec 14.

Efficient screening for severe aortic valve stenosis using understandable artificial intelligence: a prospective diagnostic accuracy study.

Autor: Makimoto H; Division of Cardiology, Pulmonology and Vascular Medicine, Medical Faculty, Heinrich-Heine-University Düsseldorf, Düsseldorf, Germany., Shiraga T; Mitsubishi Electric Inc., Kamakura, Japan., Kohlmann B; Division of Cardiology, Pulmonology and Vascular Medicine, Medical Faculty, Heinrich-Heine-University Düsseldorf, Düsseldorf, Germany., Magnisali CE; Division of Cardiology, Pulmonology and Vascular Medicine, Medical Faculty, Heinrich-Heine-University Düsseldorf, Düsseldorf, Germany., Gerguri S; Division of Cardiology, Pulmonology and Vascular Medicine, Medical Faculty, Heinrich-Heine-University Düsseldorf, Düsseldorf, Germany., Motoyama N; Mitsubishi Electric Inc., Kamakura, Japan., Clasen L; Division of Cardiology, Pulmonology and Vascular Medicine, Medical Faculty, Heinrich-Heine-University Düsseldorf, Düsseldorf, Germany., Bejinariu A; Division of Cardiology, Pulmonology and Vascular Medicine, Medical Faculty, Heinrich-Heine-University Düsseldorf, Düsseldorf, Germany., Klein K; Division of Cardiology, Pulmonology and Vascular Medicine, Medical Faculty, Heinrich-Heine-University Düsseldorf, Düsseldorf, Germany., Makimoto A; Division of Cardiology, Pulmonology and Vascular Medicine, Medical Faculty, Heinrich-Heine-University Düsseldorf, Düsseldorf, Germany., Jung C; Division of Cardiology, Pulmonology and Vascular Medicine, Medical Faculty, Heinrich-Heine-University Düsseldorf, Düsseldorf, Germany., Westenfeld R; Division of Cardiology, Pulmonology and Vascular Medicine, Medical Faculty, Heinrich-Heine-University Düsseldorf, Düsseldorf, Germany., Zeus T; Division of Cardiology, Pulmonology and Vascular Medicine, Medical Faculty, Heinrich-Heine-University Düsseldorf, Düsseldorf, Germany., Kelm M; Division of Cardiology, Pulmonology and Vascular Medicine, Medical Faculty, Heinrich-Heine-University Düsseldorf, Düsseldorf, Germany.; CARID - Cardiovascular Research Institute Düsseldorf, Düsseldorf, Germany.

Publikováno v: European heart journal. Digital health [Eur Heart J Digit Health] 2022 May 16; Vol. 3 (2), pp. 141-152. Date of Electronic Publication: 2022 May 16 (Print Publication: 2022).

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Studying the association between single nucleotide polymorphisms of metabolizing enzymes and the therapeutic serum levels of calcineurin inhibitors in Egyptian liver transplant patients.

Autor: Abuelsoud, Nermeen N.¹ (AUTHOR) nersoud09@gmail.com, Bahaa, Mohamed² (AUTHOR), Osman, Sara A.² (AUTHOR), Younis, Nouran³ (AUTHOR), Kamal, Mohamed M.^3,4,5 (AUTHOR)

Publikováno v: Future Journal of Pharmaceutical Sciences. 11/8/2024, Vol. 10 Issue 1, p1-15. 15p.

Identifying Ventricular Dysfunction Indicators in Electrocardiograms via Artificial Intelligence-Driven Analysis.

Autor: Makimoto, Hisaki^1,2,3,4 (AUTHOR) h1sak1mak1m0t0@gmail.com, Okatani, Takayuki² (AUTHOR) masanori.suganuma.b4@tohoku.ac.jp, Suganuma, Masanori² (AUTHOR), Kabutoya, Tomoyuki¹ (AUTHOR) takahide.kohro@jichi.ac.jp, Kohro, Takahide^1,3 (AUTHOR) y-ogata@jichi.ac.jp, Agata, Yukiko¹ (AUTHOR) haradak@jichi.ac.jp, Ogata, Yukiyo¹ (AUTHOR) kkario@jichi.ac.jp, Harada, Kenji¹ (AUTHOR), Llubani, Redi⁴ (AUTHOR) alexandru.bejinariu@med.uni-duesseldorf.de, Bejinariu, Alexandru⁴ (AUTHOR) obaida.rana@med.uni-duesseldorf.de, Rana, Obaida R.⁴ (AUTHOR) malte.kelm@med.uni-duesseldorf.de, Makimoto, Asuka^4,5 (AUTHOR), Gharib, Elisabetha⁴ (AUTHOR), Meissner, Anita⁴ (AUTHOR), Kelm, Malte^4,6 (AUTHOR), Kario, Kazuomi¹ (AUTHOR)

Publikováno v: Bioengineering (Basel). Nov2024, Vol. 11 Issue 11, p1069. 12p.