Search Results - "Inui, Atsuyuki"

Automated Classification of Baseball Pitching Phases Using Machine Learning and Artificial Intelligence-Based Posture Estimation.

Authors: Osawa, Shin Inui, Atsuyuki Mifune, Yutaka et al.

Source: Applied Sciences (2076-3417); Nov2025, Vol. 15 Issue 22, p12155, 15p

Estimation of Forearm Pronation–Supination Angles Using MediaPipe and IMU Sensors: Performance Comparison and Interpretability Analysis of Machine Learning Models.

Authors: Kusunose, Masaya Inui, Atsuyuki Mifune, Yutaka et al.

Source: Applied Sciences (2076-3417); Oct2025, Vol. 15 Issue 19, p10527, 19p

Prediction of Electrophysiological Severity and Carpal Tunnel Syndrome Instrument Changes After Carpal Tunnel Release Using Machine Learning Model.

Authors: Inui, Atsuyuki Takase, Fumiaki Lucchina, Stefano et al.

Source: Applied Sciences (2076-3417); Feb2025, Vol. 15 Issue 4, p1812, 12p

The Development and Validation of an Artificial Intelligence Model for Estimating Thumb Range of Motion Using Angle Sensors and Machine Learning: Targeting Radial Abduction, Palmar Abduction, and Pronation Angles.

Authors: Ehara, Yutaka Inui, Atsuyuki Mifune, Yutaka et al.

Source: Applied Sciences (2076-3417); Feb2025, Vol. 15 Issue 3, p1296, 23p

Factors Associated with Medial Elbow Torque Measured Using a Wearable Sensor in Junior High School Baseball Pitchers.

Authors: Yoshikawa, Tomoya Inui, Atsuyuki Mifune, Yutaka et al.

Source: Applied Sciences (2076-3417); Oct2023, Vol. 13 Issue 19, p10573, 12p

Detection of Elbow OCD in the Ultrasound Image by Artificial Intelligence Using YOLOv8.

Authors: Inui, Atsuyuki Mifune, Yutaka Nishimoto, Hanako et al.

Source: Applied Sciences (2076-3417); Jul2023, Vol. 13 Issue 13, p7623, 11p

Dynamic Analysis of the Median Nerve in Carpal Tunnel Syndrome from Ultrasound Images Using the YOLOv5 Object Detection Model.

Authors: Tanaka, Shuya Inui, Atsuyuki Mifune, Yutaka et al.

Source: Applied Sciences (2076-3417); Dec2023, Vol. 13 Issue 24, p13256, 10p

Effects of glutaminase 1 inhibitor on rotator cuff derived cells: a preliminary report in 12 patients.

Authors: Kato, Tatsuo Mifune, Yutaka Inui, Atsuyuki et al.

Source: BMC Musculoskeletal Disorders. 10/8/2025, Vol. 26 Issue 1, p1-12. 12p.

Degree of Accuracy With Which Deep Learning for Ultrasound Images Identifies Osteochondritis Dissecans of the Humeral Capitellum.

Authors: Shinohara, Issei Yoshikawa, Tomoya Inui, Atsuyuki et al.

Source: American Journal of Sports Medicine. Feb2023, Vol. 51 Issue 2, p358-366.

Dynamic Analysis of the Coracohumeral Ligament Using Ultra-Sonography in Shoulder Contracture.

Authors: Kato, Tatsuo Inui, Atsuyuki Mifune, Yutaka et al.

Source: Sensors (14248220). Apr2023, Vol. 23 Issue 8, p4015. 9p.

Estimation of Shoulder Joint Rotation Angle Using Tablet Device and Pose Estimation Artificial Intelligence Model.

Authors: Takigami, Shunsaku Inui, Atsuyuki Mifune, Yutaka et al.

Source: Sensors (14248220). May2024, Vol. 24 Issue 9, p2912. 15p.

Motion Analysis of the Extensor Carpi Ulnaris in Triangular Fibrocartilage Complex Injury Using Ultrasonography Images.

Authors: Tanaka, Shuya Inui, Atsuyuki Mifune, Yutaka et al.

Source: Sensors (14248220). Nov2022, Vol. 22 Issue 21, p8216. 8p.

Biochemical Markers of Aging (Advanced Glycation End Products) and Degeneration Are Increased in Type 3 Rotator Cuff Tendon Stumps With Increased Signal Intensity Changes on MRI.

Authors: Shinohara, Issei Mifune, Yutaka Inui, Atsuyuki et al.

Source: American Journal of Sports Medicine. Jun2022, Vol. 50 Issue 7, p1960-1970.

Diagnosis of Cubital Tunnel Syndrome Using Deep Learning on Ultrasonographic Images.

Authors: Shinohara, Issei Inui, Atsuyuki Mifune, Yutaka et al.

Source: Diagnostics (2075-4418). Mar2022, Vol. 12 Issue 3, p632-632. 14p.

Measurement of Shoulder Abduction Angle with Posture Estimation Artificial Intelligence Model.

Authors: Kusunose, Masaya Inui, Atsuyuki Nishimoto, Hanako et al.

Source: Sensors (14248220). Jul2023, Vol. 23 Issue 14, p6445. 15p.

Screening for Osteoporosis from Blood Test Data in Elderly Women Using a Machine Learning Approach.

Authors: Inui, Atsuyuki Nishimoto, Hanako Mifune, Yutaka et al.

Source: Bioengineering (Basel). Mar2023, Vol. 10 Issue 3, p277. 10p.

Correction: Antioxidant effect of nicotinamide mononucleotide in tendinopathy.

Authors: Yamaura, Kohei Mifune, Yutaka Inui, Atsuyuki et al.

Source: BMC Musculoskeletal Disorders. 6/6/2022, Vol. 23 Issue 1, p1-2. 2p.

Quantification of Empty Lacunae in Tissue Sections of Osteonecrosis of the Femoral Head Using YOLOv8 Artificial Intelligence Model.

Authors: Shinohara, Issei Inui, Atsuyuki Murayama, Masatoshi et al.

Source: Journal of Biomedical Materials Research, Part B: Applied Biomaterials; Dec2024, Vol. 112 Issue 12, p1-8, 8p

Preoperative Increases in T2-Weighted Fat-Suppressed Magnetic Resonance Imaging Signal Intensities Associated With Advanced Tissue Degeneration and Mitochondrial Dysfunction in Rotator Cuff Tears.

Authors: Kusunose, Masaya Mifune, Yutaka Inui, Atsuyuki et al.

Source: Arthroscopy: The Journal of Arthroscopy & Related Surgery. Jun2025, Vol. 41 Issue 6, p1705-1716.

Antioxidant effect of nicotinamide mononucleotide in tendinopathy.

Authors: Yamaura, Kohei Mifune, Yutaka Inui, Atsuyuki et al.

Source: BMC Musculoskeletal Disorders. 6/6/2022, Vol. 23 Issue 1, p1-10. 10p.