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Selected Publications


Extracting Critical Information from Unstructured Clinicians' Notes Data to Identify Dementia Severity Using a Rule-Based Approach: Feasibility Study.

Journal Article JMIR Aging · September 24, 2024 BACKGROUND: The severity of Alzheimer disease and related dementias (ADRD) is rarely documented in structured data fields in electronic health records (EHRs). Although this information is important for clinical monitoring and decision-making, it is often u ... Full text Link to item Cite

A blinded study using laser induced endogenous fluorescence spectroscopy to differentiate ex vivo spine tumor, healthy muscle, and healthy bone.

Journal Article Sci Rep · January 22, 2024 Ten patients undergoing surgical resection for spinal tumors were selected. Samples of tumor, muscle, and bone were resected, de-identified by the treating surgeon, and then scanned with the TumorID technology ex vivo. This study investigates whether Tumor ... Full text Open Access Link to item Cite

Brain-Mimicking Phantom for Photoablation and Visualization.

Journal Article Int Symp Med Robot · April 2023 While the use of tissue-mimicking (TM) phantoms has been ubiquitous in surgical robotics, the translation of technology from laboratory experiments to equivalent intraoperative tissue conditions has been a challenge. The increasing use of lasers for surgic ... Full text Open Access Link to item Cite

3D Laser-and-Tissue Agnostic Data-Driven Method for Robotic Laser Surgical Planning

Conference IEEE International Conference on Intelligent Robots and Systems · January 1, 2023 In robotic laser surgery, shape prediction of an one-shot ablation crater is an important problem for minimizing errant overcutting of healthy tissue during the course of pathological tissue resection and precise tumor removal. Since it is difficult to phy ... Full text Cite