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Anupol Panitchote

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Journal of the Medical Association of Thailand = Chotmaihet Thangphaet|September 29, 2010
Prevalence of post-stroke seizures in Srinagarind HospitalAnupol Panitchote, Somsak Tiamkao
Thrombosis Journal|February 6, 2022
Incidence of proximal deep vein thrombosis in medical critical care patientsChairat Permpikul, Walailak Chaiyasoot, Anupol Panitchote
Rheumatology (Oxford, England)|January 8, 2026
Clinical predictors of mortality in critically ill systemic sclerosis patients: a 6-year retrospective cohort studyBoonyarak Wattanarat, Chingching Foocharoen, Anupol Panitchote
European Journal of Radiology Open|October 26, 2020
Discrimination between tuberculous and bacterial pyomyositis in magnetic resonance featuresPunthip Thammaroj, Anupol Panitchote, Chawiporn Muktabhant, et al.
Asia Pacific Journal of Clinical Nutrition|August 14, 2017
Energy expenditure in severe sepsis or septic shock in a Thai Medical Intensive Care UnitAnupol Panitchote, Nontapak Thiangpak, Pranithi Hongsprabhas, et al.
Journal of the Medical Association of Thailand = Chotmaihet Thangphaet|April 7, 2015
Pilot study of a non-return catheter valve for reducing catheter-associated urinary tract infections in critically ill patientsAnupol Panitchote, Suranut Charoensri, Ploenchan Chetchotisakd, et al.
Journal of Intensive Care Medicine|February 18, 2026
Higher Serum Cortisol is Associated with Delayed Shock Resolution in Septic Shock PatientsSophon Dumrongsukit, Suranut Charoensri, Kamonwan Mulalin, et al.
Cureus|August 25, 2025
Accuracy and Determinants of Radiographic Diagnosis in Pediatric Hand FracturesTala Thammaroj, Surut Jianmongkol, Nipaporn Tewattanarat, et al.
Journal of Cutaneous Medicine and Surgery|November 16, 2025
Deep Learning for Diagnosis of Tinea Corporis and Tinea CrurisNarachai Julanon, Anupol Panitchote, Praisan Padungweang, et al.
Critical Care (London, England)|March 7, 2026
Deep learning approaches for time series prediction of renal recovery in medical critically Ill patients with acute kidney injury: LSTM, GRU, and transformer modelsAnawat Ratchatorn, Natdanai Ketdao, Suphachoke Sonsilphong, et al.
Pageof 3

Showing results (1-10 of 25) with videos related to

Sort By:
Pageof 3
Journal of the Medical Association of Thailand = Chotmaihet Thangphaet|September 29, 2010
Prevalence of post-stroke seizures in Srinagarind HospitalAnupol Panitchote, Somsak Tiamkao
Thrombosis Journal|February 6, 2022
Incidence of proximal deep vein thrombosis in medical critical care patientsChairat Permpikul, Walailak Chaiyasoot, Anupol Panitchote
Rheumatology (Oxford, England)|January 8, 2026
Clinical predictors of mortality in critically ill systemic sclerosis patients: a 6-year retrospective cohort studyBoonyarak Wattanarat, Chingching Foocharoen, Anupol Panitchote
European Journal of Radiology Open|October 26, 2020
Discrimination between tuberculous and bacterial pyomyositis in magnetic resonance featuresPunthip Thammaroj, Anupol Panitchote, Chawiporn Muktabhant, et al.
Asia Pacific Journal of Clinical Nutrition|August 14, 2017
Energy expenditure in severe sepsis or septic shock in a Thai Medical Intensive Care UnitAnupol Panitchote, Nontapak Thiangpak, Pranithi Hongsprabhas, et al.
Journal of the Medical Association of Thailand = Chotmaihet Thangphaet|April 7, 2015
Pilot study of a non-return catheter valve for reducing catheter-associated urinary tract infections in critically ill patientsAnupol Panitchote, Suranut Charoensri, Ploenchan Chetchotisakd, et al.
Journal of Intensive Care Medicine|February 18, 2026
Higher Serum Cortisol is Associated with Delayed Shock Resolution in Septic Shock PatientsSophon Dumrongsukit, Suranut Charoensri, Kamonwan Mulalin, et al.
Cureus|August 25, 2025
Accuracy and Determinants of Radiographic Diagnosis in Pediatric Hand FracturesTala Thammaroj, Surut Jianmongkol, Nipaporn Tewattanarat, et al.
Journal of Cutaneous Medicine and Surgery|November 16, 2025
Deep Learning for Diagnosis of Tinea Corporis and Tinea CrurisNarachai Julanon, Anupol Panitchote, Praisan Padungweang, et al.
Critical Care (London, England)|March 7, 2026
Deep learning approaches for time series prediction of renal recovery in medical critically Ill patients with acute kidney injury: LSTM, GRU, and transformer modelsAnawat Ratchatorn, Natdanai Ketdao, Suphachoke Sonsilphong, et al.
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