From the 1 of 15 linked papers with an AI index.
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Evaluation Of P300 Speller Performance Using Large Language Models Along With Cross-Subject Training
Nithin Parthasarathy, James Soetedjo, Saarang Panchavati +4
Amyotrophic lateral sclerosis (ALS), a progressive neuromuscular degenerative disease, severely restricts patient communication capacity within a few years of onset, resulting in a…
Reducing Overtreatment of Indeterminate Thyroid Nodules Using a Multimodal Deep Learning Model
Shreeram Athreya, Andrew Melehy, Sujit Silas Armstrong Suthahar +9
Objective: Molecular testing (MT) classifies cytologically indeterminate thyroid nodules as benign or malignant with high sensitivity but low positive predictive value (PPV), only…
Digital Volumetric Biopsy Cores Improve Gleason Grading of Prostate Cancer Using Deep Learning
Ekaterina Redekop, Mara Pleasure, Zichen Wang +5
Prostate cancer (PCa) was the most frequently diagnosed cancer among American men in 2023. The histological grading of biopsies is essential for diagnosis, and various deep learnin…
High Performance P300 Spellers Using GPT2 Word Prediction With Cross-Subject Training
Nithin Parthasarathy, James Soetedjo, Saarang Panchavati +4
Amyotrophic lateral sclerosis (ALS) severely impairs patients' ability to communicate, often leading to a decline in their quality of life within a few years of diagnosis. The P300…
Predicting Thrombectomy Recanalization from CT Imaging Using Deep Learning Models
Haoyue Zhang, Jennifer S. Polson, Eric J. Yang +3
For acute ischemic stroke (AIS) patients with large vessel occlusions, clinicians must decide if the benefit of mechanical thrombectomy (MTB) outweighs the risks and potential comp…