Orthopedic Surgery · Research · Medical Education

Asadbek Sultonov

PGY-2 Orthopedic Surgery Resident at Akfa Medline University Hospital — building a career at the intersection of trauma care, evidence-based medicine, and applied clinical AI research.

✉️ asadbeksltnv90@gmail.com
Portrait of Asadbek Sultonov
USMLE Step 1 PASS · 2024
0 MD Overall GPA
0 Published Papers
0 Competition Wins
0 Languages Spoken

01 — About

Clinician first,
researcher by habit.

PGY-2 orthopedic surgery resident at Akfa Medline University Hospital with a strong interest in trauma and orthopedics, evidence-based medicine, and clinical research. Experienced in journal club preparation, literature appraisal, patient-facing educational materials, and medical website content.

Practical background in conference organization, data handling, and Python-based research workflows — now extending into applied machine learning, including a calibrated deep learning model for automated knee osteoarthritis grading. Motivated to develop as an academic orthopedic surgeon combining clinical practice, research, and medical education.

Trauma & Orthopedics Evidence-Based Medicine Arthroplasty & Arthroscopy PubMed / NEJM research Applied AI & Deep Learning Medical Telegram bots Data visualization

Education

Doctor of Medicine (MD)
Central Asian University, Tashkent
2019 – 2025 · GPA 3.81

High School
1-maktab, Andijan shahar
2008 – 2019

Languages

  • UzbekNative
  • EnglishAdvanced
  • RussianAdvanced
  • GermanBasic

Academic performance over time

Semester GPA across six years of medical school at Central Asian University (official transcript, issued June 2025).

Semester GPA trend, Fall 2019 to Spring 2025 A line chart showing GPA rising from 3.53 in Fall 2019 to a peak of 3.99 in Fall 2022, and finishing at 3.93 in Spring 2025.
View data as a table
SemesterGPACredits

02 — Experience

Clinical & professional path

  1. Current

    Orthopedic Surgery Resident — PGY-2

    Akfa Medline University Hospital, Tashkent, Uzbekistan

    • Participate in orthopedic inpatient, outpatient, and operative care under supervision.
    • Assist with clinical assessment, perioperative workflow, documentation, and patient education.
    • Developing focused interests in trauma, arthroplasty, arthroscopy, and evidence-based orthopedic practice.
    • Helped optimize hospital operations planning using AI-driven scheduling and workflow tools.
    • Developing a calibrated deep learning model for automated knee osteoarthritis grading, accepted as a poster at the 2026 AAHKS Annual Meeting.
  2. Apr 2025 – Present

    Research Assistant

    Akfa Medline, Tashkent, Uzbekistan

    • Conduct literature reviews on PubMed and Google Scholar for journal club sessions.
    • Develop patient education materials, including surgery information brochures.
    • Publish medical articles and educational content on the Akfa Medline website.
  3. Apr 2025 – May 2025

    Call Centre Agent

    CAU Pulse, Tashkent, Uzbekistan

    • Collaborated with team members to streamline processes and improve service delivery.
  4. Jun 2024 – Aug 2024

    Physician Assistant

    Neuronet Ultra, Andijan, Uzbekistan

    • Conducted supervised patient assessments to support diagnosis and treatment planning.
    • Assisted in management of patients with back pain and medication administration.
    • Created a patient record management platform.
  5. Sep 2022 – Present

    Teacher

    Muzaffar Online Education, Andijan, Uzbekistan

    • Helped cofound one of the largest English learning platforms in Uzbekistan.
    • Interacted with students and provided structured feedback on writing.

03 — Research

Research & scholarly work

Publications

Published paper

Assessing medication adherence and identifying barriers to adherence among patients with type 2 diabetes mellitus in Uzbekistan

Asadbek Sultonov, Mukhammadbektosh Khaydarov, Malika Oblokulova, Zulaykho Shamansurova, Zamira Khalimova

Conference Abstracts

Poster · Accepted

Transfer Learning for Automated KL Grading of Knee Osteoarthritis: A Calibrated Deep Learning Study

Abstract A574 · Accepted as a poster at the 2026 AAHKS Annual Meeting, Nov 5–8, Gaylord Texan Resort & Convention Center, Grapevine, TX

Selected as 1 of 355 posters from over 2,400 submitted abstracts; presented as an ePoster with recorded audio/video.

Poster presentation

Telemedicine in the Treatment and Control of Diabetes

Presented at an endocrinology conference, Central Asian University

Applied AI Projects

Applied AI project

Automated KL Grading for Knee Osteoarthritis

Trained and calibrated a transfer-learning deep learning model to grade knee osteoarthritis severity from X-rays on the Kellgren-Lawrence scale — the work behind the AAHKS 2026 accepted abstract.

Applied AI project

AI-Assisted Operations Planning

Helped optimize clinical operations planning at Akfa Medline University Hospital using AI-driven scheduling and workflow tools.

Innovation & Examinations

Group innovation project

Using Telegram Bots and 3D-Printed Pill Boxes to Improve Medication Adherence

Group leader · Gold Medal, AKFA MEDINNOVA Expo 2023

Examination

USMLE Step 1 — Passed

Test date: September 3, 2024 · USMLE ID 1-294-267-8

Extracurricular & organizing

CAEC25 Congress Website management, doctor registration support, programme brochure, and logo design support.
Center of Endocrinology Volunteer medical interpreter and case presenter.
“Oddiy Talaba” Interviewer and social media manager, voluntary organization.
Harvard Business Case Competition Participated and qualified for the semifinals.

04 — Achievements

Awards & certifications

🥇

1st Place — Medical Olympiad “Medicine of the Future 2024”

Central Asian University

🥇

Gold Medal — AKFA MEDINNOVA Expo 2023

Best science project & poster, group leader

🥇

1st Place — Samarkand-2020 Olympiad (Neurology), 2024

V International Olympiad for Medical Students · Samarkand State Medical University

🥉

3rd Place — Samarkand-2020 Olympiad (Neurology), 2023

IV International Olympiad for Medical Students · Samarkand State Medical University

  • Meta-analysis Academy graduate
  • Introduction to Machine Learning — SoloLearn
  • UpToDate CME — AMA PRA Category 1 Credit, Oct 2025
  • “Healthcare of the Future” conference (12 h), CAU 2024
  • Regular attendance at Healio & Cleveland Clinic webinars

05 — Skills

Tools of the trade

Clinical

  • Patient interaction
  • Clinical communication
  • Evidence-based medicine
  • Perioperative documentation

Research

  • Literature review (PubMed / Google Scholar)
  • Meta-analysis
  • Data visualization
  • Journal club preparation

Technical

  • Python
  • NumPy / SciPy / Pandas
  • Statistical software
  • Canva design

06 — Contact

Let's connect.

Open to conversations on orthopedic research, trauma care, and collaborative clinical projects.