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Found 13 papers, 7 papers with code
Gemini Goes to Med School: Exploring the Capabilities of Multimodal Large Language Models on Medical Challenge Problems & Hallucinations
Additionally, we facilitated future research and development by releasing a Python module for medical LLM evaluation and establishing a dedicated leaderboard on Hugging Face for medical domain LLMs.
Med-HALT: Medical Domain Hallucination Test for Large Language Models
This research paper focuses on the challenges posed by hallucinations in large language models (LLMs), particularly in the context of the medical domain.
Federated Learning for Healthcare Domain - Pipeline, Applications and Challenges
Federated learning is the process of developing machine learning models over datasets distributed across data centers such as hospitals, clinical research labs, and mobile devices while preventing data leakage.
MedMCQA : A Large-scale Multi-Subject Multi-Choice Dataset for Medical domain Question Answering
This paper introduces MedMCQA, a new large-scale, Multiple-Choice Question Answering (MCQA) dataset designed to address real-world medical entrance exam questions.
Ranked #7 on
Multiple Choice Question Answering (MCQA)
on MedMCQA
Small-Bench NLP: Benchmark for small single GPU trained models in Natural Language Processing
Small-Bench NLP benchmark comprises of eight NLP tasks on the publicly available GLUE datasets and a leaderboard to track the progress of the community.
BioELECTRA:Pretrained Biomedical text Encoder using Discriminators
We introduce BioELECTRA, a biomedical domain-specific language encoder model that adapts ELECTRA for the Biomedical domain.
Pay Attention to the cough: Early Diagnosis of COVID-19 using Interpretable Symptoms Embeddings with Cough Sound Signal Processing
COVID-19 (coronavirus disease 2019) pandemic caused by SARS-CoV-2 has led to a treacherous and devastating catastrophe for humanity.
Multi-Label Text Classification using Attention-based Graph Neural Network
The graph attention network uses a feature matrix and a correlation matrix to capture and explore the crucial dependencies between the labels and generate classifiers for the task.
Detecting Parking Spaces in a Parcel using Satellite Images
Remote Sensing Images from satellites have been used in various domains for detecting and understanding structures on the ground surface.
Saama Research at MEDIQA 2019: Pre-trained BioBERT with Attention Visualisation for Medical Natural Language Inference
Natural Language inference is the task of identifying relation between two sentences as entailment, contradiction or neutrality.
Ranked #5 on
Natural Language Inference
on MedNLI
Compositional Attention Networks for Interpretability in Natural Language Question Answering
Our experiments with 20 bAbI tasks demonstrate the value of MAC net as a data-efficient and interpretable architecture for Natural Language Question Answering.
PHI Scrubber: A Deep Learning Approach
Confidentiality of patient information is an essential part of Electronic Health Record System.
Convolutional Neural Networks In Classifying Cancer Through DNA Methylation
DNA Methylation has been the most extensively studied epigenetic mark.
