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Hi there This is Amir (Seyed Amir Ahmad Safavi-Naini, 👯 I would challenge you for the longest name ever), and I am doing my postdoc on developing ✨ AI/ML/DL/NN (or any other fancy abbreviation) solutions in gastroenterology practice at Research Institute for Gastroenterology and Liver Diseases. I coded in Python and R to do some whimsy works and finally get them published somewhere (isn't that the ultimate goal of a researcher?). I believe in open science, and I will not bury my data with me, I promise. I am interested in developing and deploying cross-modality models in clinicians' daily practice.

👨🏻‍💻 My Coding Experiences

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Amir's Github Stats   sdamirsa
Note: Top languages is only a metric of the languages my public code consists of and doesn't reflect experience or skill level.

🤝 Connect With Me

Seyed Amir Ahmad Safvi-Naini's Projects

ai-and-abdominal-ct-resources icon ai-and-abdominal-ct-resources

Resources for people working on Artificial Intelligence (AI) and Machine Learning (ML) projects in computed tomography (CT) scan.

antibioticresitance_hpylori icon antibioticresitance_hpylori

Investigating Antibiotic Resistance to H.pylori using gene expression from whole genome sequence data with unsupervised and supervised methods

bariatricsurgery_analysis icon bariatricsurgery_analysis

Code for statistical analysis and visualization of scientific project entitled "Benefit of Exercise after Laparoscopic Sleeve Gastrectomy Surgery: 4-Year Follow-up of Weight Regain and Glucose Profile"

covid-19_pregnancy icon covid-19_pregnancy

This code is used for analysis of a research project entitled "Radiologic and Clinical Features of COVID-19 Pneumonia in Pregnancy: A Comparison with Matched Non-Pregnant Control in Tehran, Iran."

covid19_seriallabratory icon covid19_seriallabratory

This is the code used for the article entitled "Serial and Admittance Laboratory Profile of COVID-19: Dynamic Trend of Poor Prognostic Biomarkers"

exminer icon exminer

creating MCQs from your PDFs by leveraging LLMs.

extract_telegram_contact_to_csv icon extract_telegram_contact_to_csv

This repo is created for other people looking to convert their telegram exported contacts to CSV (so they can import in in google account or elsewhere)

happytreeresearchfriends icon happytreeresearchfriends

Here I will store some learning contents, learning pathways, and opportunities so that I can re-use them. Happy Tree Research Friends is a group that I started three years ago with my mentee and friends.

llms_in_gi icon llms_in_gi

Papers, models, and datasets aiming at evaluation of Large Language Models (LLM) in gastroenterology

medqa-bby icon medqa-bby

MedQA-but-better-yield (MedQA-BBY) is build on top of MedQA dataset but enriched with labels, as well as two correct options and one negative point option, and three 0 point options. The labels include:(1) question topic regarding system, discipline, and subspeciality, (2) token length, (3) Bloom taxonomy

meta-analysis icon meta-analysis

This is a sample code to do meta-analysis of systematic review studies. Useful link to vides are also embedded in the code.

mychatgpt icon mychatgpt

This is how I am using chatGPT without using their interface (through API).

no-code-app-for-gpt-research icon no-code-app-for-gpt-research

No code streamlit app for running GPT models on excel file (and ground truth). This could be used for (1) generating unstructured output, or (2) structured output (for extraction or generating variables).

pancanaid icon pancanaid

Pancreas Cancer AI-Driven Diagnosis in CT scan and EUS Imaging: A protocol for an Observational Multicentric Ambispective Study

parsbench-biomedical icon parsbench-biomedical

This repository contains multiple-choice questions and real-world scenarios for benchmarking large language models in Persian (Farsi) and English. The content is designed to evaluate the performance and capabilities of various language models across these two languages.

sink_in_ct_project icon sink_in_ct_project

In this repor, I will share my codes during past three years wokring on a multi-institutional project on CT scan (PanCanAID).

tehran_covid_cohort icon tehran_covid_cohort

Code for data extraction and analysis of a COVID project with 10,000 participants (COVID-19 inpatients)

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