Jessica Loree

Greetings,
My name is Jessica Loree, and I am a medical imaging AI researcher and diagnostics innovator specializing in AI-assisted lesion detection and diagnosis for CT, MRI, and other radiological modalities. With over 8 years of interdisciplinary experience spanning deep learning, computer vision, and clinical radiology, my work focuses on bridging the gap between cutting-edge AI technologies and real-world healthcare applications.

Core Expertise

1. AI Model Development:

   • Designed multi-modal neural networks (e.g., 3D CNNs, transformer-based architectures) for automated lesion segmentation and classification in oncology, neurology, and cardiology imaging. Achieved 92-96% accuracy in detecting early-stage tumors and ischemic strokes across diverse patient cohorts.

   • Pioneered explainable AI frameworks to visualize decision-making processes of "black-box" models, enhancing clinician trust and compliance with AI recommendations.

2. Clinical Integration:

   • Led the deployment of FDA-cleared AI diagnostic tools in 12 hospital networks, reducing radiologists’ interpretation time by 40% and minimizing false-negative rates by 18%.

   • Collaborated with radiologists to refine AI-human hybrid workflows, ensuring seamless integration with PACS (Picture Archiving and Communication Systems) and EHRs.

3. Research Innovations:

   • Published 23 peer-reviewed papers in top journals (e.g., Nature Medicine, Radiology: AI) on topics such as generative AI for synthetic lesion augmentation and federated learning for privacy-preserving multi-institutional data analysis.

   • Developed real-time AI systems for emergency settings, enabling rapid triage of critical conditions like pulmonary embolisms and intracranial hemorrhages.

Ethical & Regulatory Leadership

• Spearheaded bias-mitigation strategies to address disparities in AI performance across demographic subgroups, validated through NIH-funded studies.

• Served on advisory boards for the WHO’s AI in Healthcare Guidelines, emphasizing accountability in AI-assisted diagnostics.

Vision

My mission is to empower clinicians with precision-driven, patient-centric AI tools that augment—not replace—human expertise. By advancing generalizable and scalable solutions, I aim to democratize access to early and accurate diagnoses globally, particularly in underserved regions.

Thank you for your time. Let’s collaborate to redefine the future of medical imaging.