Artificial Intelligence (AI) is well-suited to help support complex decision-making tasks within clinical medicine, including clinical imaging applications like radiographic differential diagnosis of central nervous system (CNS) tumors. So far, there have been numerous examples of theoretical AI solutions for this space, for example, large-scale corporate efforts like IBM's Watson AI. However, clinical implementation remains limited due to factors related to the alignment of this technology in the clinical setting. User-Centered Design (UCD) is a design philosophy that focuses on developing tailored solutions for specific users or user groups. In this study, we applied UCD to develop an explainable AI tool to support clinicians in our use case. Through four design iterations, starting from basic functionality and visualizations, we progressed to functional prototypes in a realistic testing environment. We discuss our motivation and approach for each iteration, along with key insights gained. This UCD process has advanced our conceptual idea from feasibility testing to interactive functional AI interfaces designed for specific clinical and cognitive tasks. It has also provided us with directions to develop further an AI system for the non-invasive diagnosis of CNS tumors.
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http://dx.doi.org/10.1109/vahc60858.2023.00008 | DOI Listing |
J Med Internet Res
January 2025
Department of Radiation Oncology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Background: Primary intracranial germ cell tumors (iGCTs) are highly malignant brain tumors that predominantly occur in children and adolescents, with an incidence rate ranking third among primary brain tumors in East Asia (8%-15%). Due to their insidious onset and impact on critical functional areas of the brain, these tumors often result in irreversible abnormalities in growth and development, as well as cognitive and motor impairments in affected children. Therefore, early diagnosis through advanced screening techniques is vital for improving patient outcomes and quality of life.
View Article and Find Full Text PDFPLoS One
January 2025
Aston Institute of Health and Neurodevelopment, Aston University, Birmingham, United Kingdom.
Survivors of pediatric brain tumours are at a high risk of cognitive morbidity. Reliable individual-level predictions regarding the likelihood, degree, and affected domains of cognitive impairment would be clinically beneficial. While established risk factors exist, quantitative MRI analysis may enhance predictive value, above and beyond current clinical risk models.
View Article and Find Full Text PDFJ Neurooncol
January 2025
Cancer Surveillance Branch, International Agency for Research On Cancer (IARC), 25 Avenue Tony Garnier, CS 90627, 69366 LYON CEDEX 07, Lyon, France.
Background: Global comparisons of the burden and impact of cancers of the brain and central nervous system (CNS) are critical for developing effective control strategies and generating etiological hypotheses to drive future research.
Methods: National incidence estimates were obtained from GLOBOCAN 2022, and recorded incidence data from the Cancer in Five Continents series, both developed and compiled by the International Agency for Research on Cancer. We examined the estimated age-standardized incidence rates in 185 countries, as well as time trends in recorded incidence in 35 countries, quantifying the direction and change in the magnitude of the rates using the estimated average percentage change (EAPC).
Neurosurg Rev
January 2025
Department of Neurosurgery, Sana Kliniken Duisburg, Academic Teaching Hospital of University Duisburg-Essen, Duisburg, Germany.
Pineal gland lesions pose a significant surgical challenge due to the deep-seated nature of the pineal gland, as well as the limited field of view, and the complex vascular anatomy. The mainstay of surgical treatment, when necessary, is always histopathological clarity and gross total resection (GTR). We evaluate the surgical outcomes for pineal gland lesions, shedding light on functional outcomes, histological findings, and surgical complications.
View Article and Find Full Text PDFNeurosurg Rev
January 2025
Department of Neurosurgery, University Medical Centre, Johannes Gutenberg University, Mainz, Germany.
The aim of this study was to investigate the level of distress and the quality of life of operated and non-operated patients with pituitary tumors. Patients who presented to a neurosurgical center and two endocrinological services for outpatient follow-up after surgical treatment, as well as those under medical therapy or radiological follow-up without treatment, were invited to participate in the study. Sociodemographic, health-related quality of life and clinical data were assessed.
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