Harshita Sharma

Transforming obstetric ultrasound into data science using eye tracking, voice recording, transducer motion and ultrasound video

2021 · 60 Zit. · Scientific Reports

Multimodal Healthcare AI: Identifying and Designing Clinically Relevant Vision-Language Applications for Radiology

2024 · 59 Zit.

Knowledge representation and learning of operator clinical workflow from full-length routine fetal ultrasound scan videos

2021 · 44 Zit. · Medical Image Analysis

Clinical workflow of sonographers performing fetal anomaly ultrasound scans: deep‐learning‐based analysis

2022 · 31 Zit. · Ultrasound in Obstetrics and Gynecology

Exploring the Boundaries of GPT-4 in Radiology

2023 · 21 Zit.

Exploring scalable medical image encoders beyond text supervision

2024 · 8 Zit. · arXiv (Cornell University)

MedHELM: Holistic Evaluation of Large Language Models for Medical Tasks

2025 · 7 Zit. · ArXiv.org

Challenges for Responsible AI Design and Workflow Integration in Healthcare: A Case Study of Automatic Feeding Tube Qualification in Radiology

2025 · 5 Zit. · ACM Transactions on Computer-Human Interaction

Exploring the Boundaries of GPT-4 in Radiology

2023 · 2 Zit. · arXiv (Cornell University)

Challenges for Responsible AI Design and Workflow Integration in Healthcare: A Case Study of Automatic Feeding Tube Qualification in Radiology

2024 · 1 Zit. · arXiv (Cornell University)

Comprehensive language-image pre-training for 3D medical image understanding

2025 · 0 Zit. · ArXiv.org

OC10.11: The data science of obstetric ultrasound: automatic analysis of full‐length anomaly scans using machine learning algorithms

2020 · 0 Zit. · Ultrasound in Obstetrics and Gynecology

A picture is worth a thousand words: textual analysis of the routine 20‐week scan

2022 · 0 Zit. · Ultrasound in Obstetrics and Gynecology