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Guillermo Andrés Droppelmann Díaz

Subjefe de Investigación

Clínica MEDS

Santiago, Chile

Líneas de Investigación


Desarrollo y validación de modelos de aprendizaje profundo para apoyo diagnóstico en salud musculoesquelética y ECNT, con aplicación en imagenes y señales biomédicas.

Educación

  •  Health Science, Universidad Católica de Murcia (UCAM). Chile, 2025
  •  Epidemiología, UNIVERSIDAD DE LOS ANDES. Chile, 2017
  •  Políticas Públicas, UNIVERSIDAD DEL DESARROLLO. Chile, 2017
  •  Kinesiología, UNIVERSIDAD DE LA FRONTERA. Chile, 2009

Experiencia Académica

  •   Subjefe de Investigación Full Time

    Clínica MEDS

    Santiago, Chile

    2010 - A la fecha

  •   Docente Part Time

    UNIVERSIDAD DE LOS ANDES

    Medicina

    Chile

    2014 - 2016

  •   Docente Part Time

    UNIVERSIDAD MAYOR

    Medicina

    Chile

    2017 - 2025

Experiencia Profesional

  •   Coordinador de Investigación Full Time

    Clínica MEDS

    Chile

    2011 - 2024

  •   Subjefe de Investigación Full Time

    Clínica MEDS

    Chile

    2024 - A la fecha

  •   Adjunto de Investigación, Vicedecanato de Investigación Part Time

    Universidad de los Andes

    Santiago, Chile

    2013 - 2017

  •   Comité de Ética institucional Part Time

    Universidad Mayor

    Santiago, Chile

    2017 - 2024

  •   Colaborador Docente Other

    Harvard University

    Estados Unidos

    2020 - 2025

Formación de Capital Humano


Tutoría de tesis de pregrado, magíster y doctorado en ingeniería industrial e investigación clínica, con foco en aprendizaje profundo aplicado a salud ocupacional, electrocardiografía e imágenes biomédicas, y supervisión clínico-formativa en investigación aplicada.


Difusión y Transferencia


Transferencia de conocimiento mediante capítulos de libro sobre políticas públicas en ECNT, guías clínicas como bienes públicos digitales, talleres formativos a equipos clínicos y articulación con tomadores de decisión del sistema de salud chileno y mutual.


Premios y Distinciones

  •   Outstanding Teaching Collaborator Awards

    HARVARD SCHOOL OF PUBLIC HEALTH

    Estados Unidos, 2020

    Outstanding Teaching Collaborator Awards - 2020

  •   Outstanding Teaching Collaborator Awards

    HARVARD SCHOOL OF PUBLIC HEALTH

    Chile, 2021

    Outstanding Teaching Collaborator Awards - 2021

  •   Outstanding Teaching Collaborator Awards

    HARVARD SCHOOL OF PUBLIC HEALTH

    Chile, 2022

    Outstanding Teaching Collaborator Awards - 2022

  •   Outstanding Teaching Collaborator Awards

    HARVARD SCHOOL OF PUBLIC HEALTH

    Chile, 2023

    Outstanding Teaching Collaborator Awards - 2023


 

Article (18)

Data-driven identification of metabolic and cardiovascular biomarkers in high-altitude workers: a machine learning approach
Hydration Status of Elite Youth Soccer Players: Training Versus FIFA Competition
Impact of Exercise Dose-Response on Maternal Mental Health and Perinatal Depression Prevention: A Systematic Review and Meta-Analysis
Mining the risk: early cardiovascular detection in workers
Myotendinous Junction Anesthesia: An Alternative Infiltration Site for Ultrasound-Guided Injections
Surgeons Can Decrease the Pain of WALANT Local Anesthesia Injection if They Ask for Patient Feedback
Ultrasound-Guided Perineural Corticosteroid Injection for Lacertus Fibrosus Syndrome: A Retrospective Cohort Study
Artificial intelligence in diagnosing upper limb musculoskeletal disorders: a systematic review and meta-analysis of diagnostic tests
Automated segmentation and classification of supraspinatus fatty infiltration in shoulder magnetic resonance image using a convolutional neural network
Chilean Market Protein Shakes Composition
Nonsurgical Management of Shoulder Pain in Rotator Cuff Tears: Ultrasound-Guided Biceps Tenotomy Combined With Corticosteroid Injection
Postural and Lumbopelvic Control: Crucial Factors in the Functionality of Patients with Low Back Pain-A Descriptive Cross-Sectional Study
The Critical Shoulder Angle: A Significant Radiological Measure in Rotator Cuff vs. Glenohumeral Osteoarthritis in Chilean Patients-A Descriptive Cross-Sectional Study
High-accuracy detection of supraspinatus fatty infiltration in shoulder MRI using convolutional neural network algorithms
Lateral elbow tendinopathy and artificial intelligence: Binary and multilabel findings detection using machine learning algorithms
Machine learning techniques as an efficient alternative diagnostic tool for COVID-19 cases
Supraspinatus activation precedes the infraspinatus muscle during the shoulder abduction in different levels of handgrip strengths
IMPORTANCE trial: A provisional study-design of a single-center, phase II, double-blinded, placebo-controlled, randomized, 4-week study to compare the efficacy and safety of intranasal esketamine in chronic opioid refractory pain

Abstract (1)

Obstructive sleep apnea and levels of physical activity and its association with elevated cardiovascular risk in chilean adults

BookWhole (1)

Kinesiología musculoesquelética. Experiencia, tecnología e innovación

Review (3)

Machine and deep learning models for ligament injury recognition: a systematic review and meta-analysis of imaging and novel diagnostic techniques
Deep learning models for tendinopathy detection: a systematic review and meta-analysis of diagnostic tests
A New Test for the Advanced Diagnosis of Lateral Elbow Tendinopathy with Concomitant Intrasubstance Tear: Failure to Resist Extension Effort (the Free Test)
23
Guillermo Droppelmann

Subjefe de Investigación

Clínica MEDS

Santiago, Chile

11
Felipe Feijoo

associate professor

Escuela de Ingenieria Industrial

Pontificia Universidad Catolica de Valparaiso

Valparaíso, Chile

1
Carlos De la Fuente

Professor

Postgraduate, Faculty of Rehabilitation Sciences

Universidad Andrés Bello

santiago, Chile

1
JULIO ROSALES

JEFE TECNICO

IMAGENES

CLINICA MEDS

SANTIAGO, Chile

1
Alfonso Lira

Investigador, Consultor y Formulador de Proyectos

Blackmind

Gran Santiago, Chile