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The Targeted HealthcaRe InnoVation & Entrepreneurship (THRIVE) Fellowship was created to bridge the gap between healthcare professionals, who often lack experience in technology development and entrepreneurship, and engineers or technology experts, who may not fully understand clinical needs. This eight-month extracurricular program introduces medical and graduate students to the process of health technology innovation. Fellows form multidisciplinary teams to identify and address an unmet clinical need, following Biodesign principles. The program consists of three phases: (1) introduction to healthcare innovation and foundational skills; (2) team formation, mentor selection, and customer discovery; and (3) solution prototyping, pitching, and business plan development. A retrospective analysis of the 2022–2023 cohort evaluated participant demographics, subjective outcomes (Likert-scale surveys on skill acquisition and program satisfaction), and objective metrics (e.g., milestones completed, funds raised, technology disclosures). Descriptive statistics and paired t-tests for pre-post comparisons were used in the analysis. Of the 56 applicants, 29 were accepted, and 20 completed the program. Fellows rated overall satisfaction at 4.45/5, with 85% planning to incorporate healthcare innovation into their future careers. On average, teams met 10.4 of 12 milestones, raised$10,250 in additional funds (in addition to the $ 5,000 fellowship grant), and filed multiple technology disclosures. Fellows reported significant gains in key innovation skills (p = 1.3E-5) and spent an average of 7.4 hours per week on their projects. The THRIVE Fellowship fosters interdisciplinary collaboration, practical skill development, and a heightened commitment to healthcare innovation. Early successes include strong participant satisfaction, measurable skill acquisition, and substantial external funding. Future program refinements will focus on expanded mentor engagement, enhanced skill-building resources, and long-term tracking of career outcomes. This model may serve as a scalable approach to training future clinicians and researchers in healthcare technology innovation.

Abstract BACKGROUND The use of intraoperative navigation during microscope cases can be limited when attention needs to be divided between the operative field and the navigation screens. Heads-up display (HUD), also referred to as augmented reality, permits visualization of navigation information during surgery workflow. OBJECTIVE To detail our initial experience with HUD. METHODS We retrospectively reviewed patients who underwent HUD-assisted surgery from April 2016 through April 2017. All lesions were assessed for accuracy and those from the latter half of the study were assessed for utility. RESULTS Seventy-nine patients with 84 pathologies were included. Pathologies included aneurysms (14), arteriovenous malformations (6), cavernous malformations (5), intracranial stenosis (3), meningiomas (27), metastasis (4), craniopharygniomas (4), gliomas (4), schwannomas (3), epidermoid/dermoids (3), pituitary adenomas (2) hemangioblastoma (2), choroid plexus papilloma (1), lymphoma (1), osteoblastoma (1), clival chordoma (1), cerebrospinal fluid leak (1), abscess (1), and a cerebellopontine angle Teflon granuloma (1). Fifty-nine lesions were deep and 25 were superficial. Structures identified included the lesion (81), vessels (48), and nerves/brain tissue (31). Accuracy was deemed excellent (71.4%), good (20.2%), or poor (8.3%). Deep lesions were less likely to have excellent accuracy (P = .029). HUD was used during bed/head positioning (50.0%), skin incision (17.3%), craniotomy (23.1%), dural opening (26.9%), corticectomy (13.5%), arachnoid opening (36.5%), and intracranial drilling (13.5%). HUD was deactivated at some point during the surgery in 59.6% of cases. There were no complications related to HUD use. CONCLUSION HUD can be safely used for a wide variety of vascular and oncologic intracranial pathologies and can be utilized during multiple stages of surgery.

PurposeMedically refractory epilepsy patients commonly require surgical alternatives for diagnosis and treatment. Stereoelectroencephalography (SEEG) is a useful diagnostic procedure in seizure focus elucidation. Modern techniques involve the use of robotics and neuronavigation for SEEG. A steep learning curve combined with multiple complex technologies employed during the case makes this procedure a perfect candidate for surgical rehearsal. This paper tests the feasibility of the use of patient-specific 3D-printed model for surgical rehearsal of robotic SEEG. MethodsA 3D-printed model was created using the patient’s cranial computed tomography and computed tomography angiography radiological imaging. A rehearsal in an operating room (OR) prior to the actual procedure date was used for surgical planning of SEEG electrodes, education of the residents and fellows as well as training of the support staff. Attention was paid to assure precise recreation of the surgical procedure.ResultsThe patient-specific 3D-printed model tolerated each step of the procedure from facial registration, to drilling, bolt insertion and lead placement. Accuracy of the designed trajectory to the electrode final position was visually confirmed at the end of procedure. Important modification to the plan of eventual surgery improved the efficiency of the real operation.ConclusionFor surgical planning, education and training purposes in robotic SEEG, 3D-printed models may be utilized as a realistic anatomy tool. Potential applications of this technique include trajectory feasibility evaluation, patient positioning optimization, increasing OR efficiency, as well as neurosurgical education and patient counseling.

ABSTRACT IMPACT: Implement and evaluate a fellowship program to foster a new generation of entrepreneurial and collaboratively-minded team scientists, equipped with the knowledge and skills to innovate technology-based solutions for COVID-19 to advance human health OBJECTIVES/GOALS: Mount Sinai Targeted Healthcare Innovation Fellowship (THRIVE) is a 9-month program for participants from diverse professional backgrounds to develop HealthTech innovations related to COVID-19. The program is designed to provide an experiential team science platform for fellows to take an idea from concept to commercially viable innovation. METHODS/STUDY POPULATION: Following a competitive application process, 16 THRIVE fellows comprise four teams working collaboratively in an online forum with input from experts in the field. Success of the program will be evaluated by: assessing pre- and post- collaborative research orientation among THRIVE fellows using the ROI scale1 using social network analysis (SNA) to investigate the social networks of THRIVE fellows to capture patterns of communication and collaboration related to innovation development exploring participant experiences of group formation, teamwork and collaboration related to innovation development using one-to-one semi-structured interview determining team success in innovation development, measured by number of publications, funding awarded, provisional patents and viable products. RESULTS/ANTICIPATED RESULTS: Paired t-tests will determine whether collaborative orientation of THRIVE fellows changes pre- vs. post- program participation, indicating changes in attitude toward multidisciplinary team work. SNA will be used to describe structural patterns of communication that occur at individual and group levels. Network-level indices will provide insight into patterns of communication that exist in innovation development: degree centrality (number of connections per individual), betweenness centrality (number of bridges to others in a network), closeness centrality (closeness to others in a network). We will also test for associations between network characteristics and team success. DISCUSSION/SIGNIFICANCE OF FINDINGS: Understanding patterns of formal and informal relationships, interactions, and perceptions of the collaborative process among individuals in THRIVE teams will elucidate whether such a program can provide an effective forum for team science and innovation development related to COVID-19.

[This corrects the article DOI: 10.1371/journal.pone.0328153.].

The Targeted HealthcaRe InnoVation & Entrepreneurship (THRIVE) Fellowship was created to bridge the gap between healthcare professionals, who often lack experience in technology development and entrepreneurship, and engineers or technology experts, who may not fully understand clinical needs. This eight-month extracurricular program introduces medical and graduate students to the process of health technology innovation. Fellows form multidisciplinary teams to identify and address an unmet clinical need, following Biodesign principles. The program consists of three phases: (1) introduction to healthcare innovation and foundational skills; (2) team formation, mentor selection, and customer discovery; and (3) solution prototyping, pitching, and business plan development. A retrospective analysis of the 2022-2023 cohort evaluated participant demographics, subjective outcomes (Likert-scale surveys on skill acquisition and program satisfaction), and objective metrics (e.g., milestones completed, funds raised, technology disclosures). Descriptive statistics and paired t-tests for pre-post comparisons were used in the analysis. Of the 56 applicants, 29 were accepted, and 20 completed the program. Fellows rated overall satisfaction at 4.45/5, with 85% planning to incorporate healthcare innovation into their future careers. On average, teams met 10.4 of 12 milestones, raised $10,250 in additional funds (in addition to the $5,000 fellowship grant), and filed multiple technology disclosures. Fellows reported significant gains in key innovation skills (p = 1.3E-5) and spent an average of 7.4 hours per week on their projects. The THRIVE Fellowship fosters interdisciplinary collaboration, practical skill development, and a heightened commitment to healthcare innovation. Early successes include strong participant satisfaction, measurable skill acquisition, and substantial external funding. Future program refinements will focus on expanded mentor engagement, enhanced skill-building resources, and long-term tracking of career outcomes. This model may serve as a scalable approach to training future clinicians and researchers in healthcare technology innovation.

Abstract The application of navigation integrated virtual reality (VR) in neurosurgery is an emerging paradigm that may offer improved situational awareness for the surgeon. Here, we present a case of a complex arteriovenous malformation (AVM) with complex venous drainage and observe how VR impacted structural delineation during approach, resection, and overall strategic planning. The patient was a 30-yr-old female with no past medical history who presented with headaches and a generalized tonic clonic seizure. Workup included computed tomography, computed tomography angiography, magnetic resonance imaging, magnetic resonance angiography, and magnetic resonance venography; a high flow right frontal AVM was found. The AVM was safely resected using navigation integrated with VR; careful arterial devascularization preceded resection of the draining veins and then the AVM nidus. Postoperative scans confirmed complete resection of the AVM. This case outlines the application of a current state-of-the-art VR platform to assist the craniotomy for resection of an AVM.