Adapted large language models can outperform medical experts in clinical text summarization

Dave Van Veen, Cara Van Uden, Louis Blankemeier, +16

Nature Medicine

Natural Language ProcessingLarge Language ModelsClinical LanguageEngineeringMulti-modal Summarization +13

Multimodal fusion with deep neural networks for leveraging CT imaging and electronic health record: a case-study in pulmonary embolism detection

Shih-Cheng Huang, Anuj Pareek, Roham T. Zamanian, +2

Scientific Reports

Combining Automatic Labelers and Expert Annotations for Accurate Radiology Report Labeling Using BERT

Akshay Smit, Saahil Jain, Pranav Rajpurkar, +3

Benchmarking saliency methods for chest X-ray interpretation

Adriel Saporta, Xiaotong Gui, Ashwin Agrawal, +9

Nature Machine Intelligence

Medical Image SegmentationEngineeringMachine LearningDiagnostic ImagingImage Classification +19

Magnetic Resonance Imaging of Tumor-Associated Macrophages: Clinical Translation

Maryam Aghighi, Ashok J. Theruvath, Anuj Pareek, +11

Clinical Cancer Research

Clinical Text Summarization: Adapting Large Language Models Can Outperform Human Experts

Dave Van Veen, Cara Van Uden, Louis Blankemeier, +16

Deep learning and its role in COVID-19 medical imaging

Sudhen B. Desai, Anuj Pareek, Matthew P. Lungren

Intelligence-Based Medicine

Benchmarking saliency methods for chest X-ray interpretation

Adriel Saporta, Xiaotong Gui, Ashwin Agrawal, +9

Medical Image SegmentationEngineeringMachine LearningDiagnostic ImagingImage Analysis +18

Multi-task weak supervision enables anatomically-resolved abnormality detection in whole-body FDG-PET/CT

Sabri Eyuboglu, Geoffrey Angus, Bhavik N. Patel, +5

Nature Communications

CheXbert: Combining Automatic Labelers and Expert Annotations for Accurate Radiology Report Labeling Using BERT

Akshay Smit, Saahil Jain, Pranav Rajpurkar, +3

arXiv (Cornell University)

Structured PredictionData AnnotationEngineeringMachine LearningAutomatic Annotation Tool +20