Shachar Z. Shemesh

Highly motivated and committed medical intern with a proven history of superior performance at individual, team, and organizational levels. Thrives in multitasking and prioritizing workloads with little or no supervision, ensuring efficient completion of tasks. Detail-oriented professional seeking to leverage medical background and team-building skills in a deadline-driven environment.

• Recognized as an Outstanding Researcher by the Arrow Program for exceptional contributions to medical research (2022, 2023).

• Awarded First Place for research presentation at the Israeli Neurosurgery Association Conference (2022).

• Achieved Third Place at the Eurospine Conference for presenting innovative research (2023).

Clinical Observation – Cleveland Clinic, USA (June – September 2022)

• Engaged in an intensive observation program within the Department of Neurosurgery, focusing on advanced neurosurgical procedures, particularly in spinal surgery.

• Participated in multidisciplinary team discussions, case presentations, and surgical planning sessions, enhancing understanding of complex neurosurgical cases.

Participant – Cleveland Spine Review: Hands-On 2022

• Completed the Cleveland Spine Review: Hands-On course, a comprehensive program emphasizing the fundamentals of spine surgery, including biomechanical considerations and surgical decision-making processes.

• Engaged in intensive, hands-on cadaver sessions studying surgical techniques and strategies for procedures such as occipitocervical, cervical, thoracic, and lumbar fixation techniques.

• Examined multiple adjuncts to surgery, including soft tissue and bone retractors and distractors, minimally invasive surgical techniques, spinal implants, and dissection tools.

• Participated in problem-based decision-making discussions, developing logical algorithms for solving complex spinal problems.

Published:

• MRI-based Detection of Cervical Ossification of the Posterior Longitudinal Ligament Using a Novel Automated Machine Learning Diagnostic Tool

Published in Neurosurgical Focus, Volume 54, Issue 6, June 2023

• Developed an AI-based model to identify cervical OPLL on MRI scans, reducing reliance on CT imaging.

Under Review:

• AI-based Predictive Model for Postoperative Airway Obstruction Risk Following Anterior Cervical Spine Surgery

• Introduced an AI model predicting the risk of airway obstruction after anterior cervical spine surgery, enhancing perioperative management.

In Progress:

Development of an AI-based Model for Optimal Trajectory Selection in Brain Needle Biopsy Procedures

• Creating a tool to optimize trajectory selection for brain biopsies, improving safety and accuracy.

AI Model for Differentiating Between Radiation Necrosis and Brain Tumors

• Developing a system to distinguish between radiation necrosis and tumor tissue for improved diagnostic precision.

Automated Detection and Classification of Brain Tumors Using AI

• Working on an AI model to identify and classify brain tumors from imaging data to assist clinicians.

Automatic Fluoroscopic Level Detection During Spine Surgery

• Designing a system for automatic level detection in fluoroscopic images during surgery, aiming to improve surgical precision.

Synergy Innovations Program, Tel Aviv University (2023)

• Took part in a multidisciplinary entrepreneurship program focused on healthcare innovation.

• Collaborated with experts in technology, medicine, and business to develop innovative solutions for pressing healthcare challenges.

• Gained hands-on experience in project development, business planning, and cross-disciplinary teamwork.