AI vs GI Board Exam: Watch ChatGBT Tackle Sample Questions

AI vs GI Board Exam: Watch ChatGBT Tackle Sample Questions

Table of Contents:

1. Introduction
2. The Challenge of Answering Medical Questions
3. Testing the Open AI Chat Bot
4. Question 1: Diagnosing a 22-year-old woman with repeated episodes of regurgitation
5. Question 2: Diagnosing a 32-year-old male with a history of recurrent vomiting
6. Question 3: Identifying the diagnosis for a 72-year-old man with recent onset dysphagia
7. Question 4: Determining the most likely diagnosis for an 83-year-old man with long-standing dysphagia
8. Question 5: Discovering the cause of a 52-year-old man's vomiting of a long white tube of tissue
9. Question 6: Identifying the condition causing dysphagia in a 36-year-old woman with progressive symptoms
10. Question 7: Recognizing the diagnosis for a 50-year-old woman with pemphigus vulgaris and vomiting
11. Question 8: Understanding the diagnosis for a 56-year-old male with long-standing GERD
12. Question 9: Diagnosing the condition of a 17-year-old recent immigrant with swallowing difficulties
13. Question 10: Identifying the diagnosis for a 62-year-old woman with heart failure and diarrhea
14. Question 11: Determining the appropriate time to restart aspirin in a patient with peptic ulcer hemorrhage
15. Question 12: Recognizing the diagnosis for a 72-year-old with heart failure and diarrhea
16. Conclusion

Article: Answering Medical Questions with Open AI Chat Bot

Introduction

The development of artificial intelligence (AI) has brought significant advancements in various fields, including medicine. One intriguing application is the use of AI chat bots to answer medical questions. In this article, we will explore the capabilities of an Open AI chat bot in answering a series of medical questions.

The Challenge of Answering Medical Questions

As a physician and gastroenterologist, I am frequently faced with complex medical questions from patients and colleagues. To test the capabilities of the Open AI chat bot, I will pose a series of questions sourced from a Board review book that I authored. These questions cover a range of gastroenterological conditions, testing the bot's knowledge and understanding.

Testing the Open AI Chat Bot

To begin the testing, I will input the first question into the chat bot's interface. This question revolves around a 22-year-old woman who presents with repeated episodes of regurgitation. The bot successfully identifies her condition as rumination, showcasing its ability to answer relatively straightforward questions.

Next, I will pose a trickier question involving a 32-year-old male who experiences vomiting of a fleshy tissue that snaps out of his mouth like a lizard's tongue. The bot's response suggests esophageal prolapse, which is incorrect. This highlights the bot's limitations in accurately answering more challenging questions.

The subsequent questions Continue to present a mix of straightforward and complex scenarios. The bot correctly identifies some conditions, such as laryngeal cancer and Zenker's diverticulum, while also providing incorrect answers for others, including scleroderma and gastric lymphangioma.

Overall, the bot's performance is inconsistent, with occasional correct answers but also numerous incorrect or incomplete responses. It often lacks the ability to interpret essential clues and fails to provide accurate diagnoses Based on the presented information.

Question 1: Diagnosing a 22-year-old woman with repeated episodes of regurgitation

In this case, the chat bot correctly identifies the condition as rumination. Rumination is characterized by effortless regurgitation that occurs soon after eating. It is impressive that the bot accurately recognizes this condition, although it may not be widely known among non-specialists.

Question 2: Diagnosing a 32-year-old male with a history of recurrent vomiting

The bot's response suggests esophageal prolapse, which is incorrect. The correct diagnosis would be a fibrovascular polyp, a large polyp that can cause choking and is often associated with vomiting. This discrepancy highlights the bot's limitations in answering more complex questions accurately.

Question 3: Identifying the diagnosis for a 72-year-old man with recent onset dysphagia

The bot's response suggests the possibility of gastroesophageal reflux disease (GERD). However, the correct diagnosis would be eosinophilic esophagitis (EoE). EoE is an allergic condition characterized by dysphagia and inflammation of the esophagus. The bot's incorrect answer indicates its limited understanding of this specific condition.

Question 4: Determining the most likely diagnosis for an 83-year-old man with long-standing dysphagia

The bot suggests the presence of Zenker's diverticulum, which is partially correct. However, the more specific and accurate diagnosis would be a cervical osteophyte. A cervical osteophyte is a bony outgrowth associated with repetitive neck trauma that can compress the esophagus. The bot's answer demonstrates its ability to approximate the correct diagnosis.

Question 5: Discovering the cause of a 52-year-old man's vomiting of a long white tube of tissue

The bot incorrectly suggests esophageal candidiasis, an infection of the esophagus caused by fungus. The correct diagnosis would be esophagitis desquamativa superficialis, a condition characterized by exfoliation of the esophageal epithelium. The bot's mistaken response indicates its lack of familiarity with this relatively rare condition.

Question 6: Identifying the condition causing dysphagia in a 36-year-old woman with progressive symptoms

The bot suggests intestinal pseudo-obstruction, a condition where the intestines are unable to properly absorb proteins. However, the correct diagnosis would be Chagas disease. Chagas disease is a tropical parasitic infection characterized by dysphagia and dilated lacteals in the intestinal lining. The bot's incorrect response highlights its limited knowledge of rare conditions.

Question 7: Recognizing the diagnosis for a 50-year-old woman with pemphigus vulgaris and vomiting

The bot correctly identifies the diagnosis as pemphigus vulgaris, an autoimmune disorder associated with blistering of the skin and mucous membranes. This demonstrates the bot's capability to answer questions regarding well-known conditions.

Question 8: Understanding the diagnosis for a 56-year-old male with long-standing GERD

The bot correctly identifies the diagnosis as Barrett's esophagus, a condition associated with chronic gastroesophageal reflux disease. However, it provides an incorrect surveillance interval recommendation, suggesting every one to three years instead of the recommended three to five years. The bot's inaccurate response indicates its limited understanding of Current guidelines.

Question 9: Diagnosing the condition of a 17-year-old recent immigrant with swallowing difficulties

The bot correctly identifies the condition as Chagas disease, a parasitic infection prevalent in Latin America. However, it fails to mention the specific symptom prompting the diagnosis, which is dysphagia. The bot's incomplete response highlights its difficulty in fully addressing complex questions.

Question 10: Identifying the diagnosis for a 62-year-old woman with heart failure and diarrhea

The bot suggests protein-losing enteropathy, a condition where the intestines are unable to properly absorb proteins. However, it does not mention the specific diagnosis, lymphangitis. Lymphangitis is a form of protein-losing enteropathy characterized by dilated lacteals in the small intestine. The bot's incomplete response demonstrates its limited familiarity with this specific condition and its associated diagnostic findings.

Question 11: Determining the appropriate time to restart aspirin in a patient with peptic ulcer hemorrhage

The bot's response suggests that the patient should not be restarted on aspirin. However, current guidelines recommend restarting aspirin promptly after successful management of peptic ulcer hemorrhage. By withholding aspirin, the patient may face increased mortality risk from cardiovascular events. The bot's inaccurate response demonstrates its lack of understanding regarding the importance of aspirin as secondary prophylaxis.

Question 12: Recognizing the diagnosis for a 72-year-old with heart failure and diarrhea

The bot suggests that the patient may have pernicious anemia, an autoimmune condition affecting the stomach's intrinsic factor production. While this is not an accurate answer, the bot correctly identifies that this condition is an example of a protein-losing enteropathy. Pernicious anemia is not associated with heart failure and diarrhea. The bot's partially correct response indicates incomplete understanding of the presented information.

Conclusion

Based on the assessment of the Open AI chat bot's performance in answering medical questions, it is evident that the bot's knowledge base and diagnostic capabilities still require improvement. While it demonstrates some level of understanding for certain conditions, it often fails to provide accurate or complete responses for more complex scenarios. The bot's limitations include its inability to interpret essential clues and its tendency to provide overly confident yet incorrect answers. Despite its initial shortcomings, further training and development could enhance its diagnostic accuracy and make it a valuable tool for healthcare professionals.