Radiology/Anatomy teaching series: Episode 3 - Gastrointestinal system

Name: Radiology/Anatomy teaching series: Episode 3 - Gastrointestinal system
Start: 2025-02-13T18:00:00+00:00
End: 2025-02-13T20:00:00+00:00

13th Feb 2025

6:00 - 8:00pm (GMT)

Clinical radiology

Gastrointestinal radiology

Human Anatomy

Radiology

13th Feb 2025

6:00 - 8:00pm (GMT)

Hosted on MedAll

Attendance certificate available

This event has ended. Similar events

Free

ONLINE

Description

I hope you can stomach this week's teaching session on the GASTROINTESTINAL SYSTEM 👀💊

Bristol Radsoc are excited to announce our THIRD teaching session which will be led by Sajjan Mann and Dr Basil Raju. 🩺

This week we continue our partnership with SWANSEA RADSOC to deliver you guys an amazing session!

The session will start on Thursday 13th February at 6pm so make sure you’re ready for it‼️

We’ve taken on your feedback from last session and we hope you enjoy this session even more!

Thanks,

BristolRadsoc team

Summary

Learn about the gastrointestinal system in a thoroughly engaging way with the third episode of the Radiology/Anatomy teaching series! This joint effort between Bristol Radsoc and Swansea Radsoc will be led by experts Sajjan Mann and Dr. Basil Raju. Taking student feedback into consideration, this session promises to be even better than the last. Don’t miss out and mark your calendars for Thursday 13th February at 6pm.

Generated by MedBot

Learning objectives

Understand detailed imaging and anatomical structures of the gastrointestinal system, including the esophagus, stomach, small intestine, large intestine, and related organs.
Understand common pathologies of the gastrointestinal system and how they present on different radiological imaging modalities.
Learn to interpret radiologic findings in gastrointestinal cases in clinical practice and make a radiologic diagnosis.
Develop skills to recognize key features in radiology imaging, as well as being able to explain and present these findings.
Gain knowledge on how to provide accurate diagnostic information based on the radiological images to aid in patient treatment and management plans.

Generated by MedBot

63 people attended this event. Sign up today and join your colleagues at future events.

Speaking at this event

View all