Article
Immunology
Xi Feng, Elma S. Frias, Maria S. Paladini, David Chen, Zoe Boosalis, McKenna Becker, Sonali Gupta, Sharon Liu, Nalin Gupta, Susanna Rosi
Summary: The study found that brain-engrafted macrophages, originating from circulating monocytes, show an intermediate phenotype resembling both monocytes and embryonic microglia after a combination of whole-brain radiotherapy and microglia depletion. Additionally, brain-engrafted macrophages exhibit reduced phagocytic activity for synaptic compartments compared to normal microglia in response to a secondary concussive brain injury. These findings suggest that brain-engrafted macrophages can prevent radiation- and concussion-induced brain injuries and cognitive deficits.
JOURNAL OF NEUROINFLAMMATION
(2021)
Article
Multidisciplinary Sciences
Christina Boyce-Jacino, Ellen Peters, Alison P. Galvani, Gretchen B. Chapman
Summary: Four studies show that the public's understanding of government budgetary expenditures is hindered by large numerical magnitudes. However, when the numbers are rescaled to smaller magnitudes, the public's understanding improves, as seen through increased sensitivity to numerical ratios and more accurate ranking of expenses.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
(2022)
Article
Computer Science, Interdisciplinary Applications
Zachary N. Flamholz, Andrew Crane-Droesch, Lyle H. Ungar, Gary E. Weissman
Summary: The study quantified tradeoffs in performance, reproducibility, and resource demands across several strategies for developing clinically relevant word embeddings. Results showed that clinical corpora consistently outperformed non-clinical corpora, and different corpora performed differently in various tasks.
JOURNAL OF BIOMEDICAL INFORMATICS
(2022)
Article
Radiology, Nuclear Medicine & Medical Imaging
Jackson Steinkamp, Charles Chambers, Darco Lalevic, Tessa Cook
Summary: The study introduces a neural network architecture that is capable of extracting fully contextualized recommendations from any type of radiology report. By annotating 2272 radiology reports and evaluating the model performance, it demonstrates the feasibility of extracting all types of recommendations in real-time from arbitrary reports.
JOURNAL OF DIGITAL IMAGING
(2021)
Article
Psychiatry
Alice Medalia, Alice Saperstein, Daniel C. Javitt, Min Qian, Shanique Meyler, Sarah Styke
Summary: This report describes the clinical feasibility and utility of using the Tone Matching Test to assess early auditory processing (EAP) in adults with schizophrenia. Results showed that the TM Test was included in all baseline assessments, with 51.72% identified as EAP impaired. There were significant positive relationships between TM Test performance and cognitive summary scores, confirming its instrumental validity. All clinicians found the TM Test useful for cognitive remediation treatment planning.
PSYCHIATRY RESEARCH
(2023)
Review
Neurosciences
Piril Hepsomali, Arno Greyling, Andrew Scholey, David Vauzour
Summary: The study suggests that acute polyphenol consumption may improve speed in rapid visual information processing task in young participants, but other analyses did not reach significance. Further acute intervention studies are warranted to achieve more conclusive results due to the inconsistent and limited current literature.
FRONTIERS IN NEUROSCIENCE
(2021)
Article
Computer Science, Interdisciplinary Applications
Kento Sugimoto, Toshihiro Takeda, Jong-Hoon Oh, Shoya Wada, Shozo Konishi, Asuka Yamahata, Shiro Manabe, Noriyuki Tomiyama, Takashi Matsunaga, Katsuyuki Nakanishi, Yasushi Matsumura
Summary: The study proposed an information model containing three types of clinical entities and utilized deep learning models to extract clinical terms from radiology reports, achieving high performance. The results indicated that the entities defined in the information model were suitable for extracting clinical terms from the reports and the model had good generalizability.
JOURNAL OF BIOMEDICAL INFORMATICS
(2021)
Article
Medicine, General & Internal
Victor M. Torres-Lopez, Grace E. Rovenolt, Angelo J. Olcese, Gabriella E. Garcia, Sarah M. Chacko, Amber Robinson, Edward Gaiser, Julian Acosta, Alison L. Herman, Lindsey R. Kuohn, Megan Leary, Alexandria L. Soto, Qiang Zhang, Safoora Fatima, Guido J. Falcone, M. Seyedmehdi Payabvash, Richa Sharma, Aaron F. Struck, Kevin N. Sheth, M. Brandon Westover, Jennifer A. Kim
Summary: A named entity recognition (NER) NLP model named BrainNERD was developed to automatically extract acute brain injury data from head CT reports. The model showed high accuracy in performance evaluation, with precision, recall, and F1 scores ranging from 96% to 99%. The findings suggest that the BrainNERD model could advance clinical research by accurately extracting acute brain injury terms and properties from head CT reports.
Review
Multidisciplinary Sciences
Yair Ziv, Bat Sheva Hadad
Summary: The paper proposes ways to assess currently unattended levels of processing to further understand the mental mechanisms driving social information processing and consequent social behaviors.
Article
Sport Sciences
Timo Hanninen, Jari Parkkari, David R. Howell, Vili Palola, Arttu Seppanen, Markku Tuominen, Grant L. Iverson, Teemu M. Luoto
Summary: This study aimed to examine the short-term test-retest reliability of the SCAT5. The results showed high reliability in symptoms but lower reliability in SAC and mBESS tests. Athletes may exhibit significant performance fluctuations in the short term, even without injury. Recommendations for interpreting changes in SCAT5 scores were provided.
JOURNAL OF SCIENCE AND MEDICINE IN SPORT
(2021)
Article
Medical Informatics
Donghyeong Seong, Yoon Ho Choi, Soo-Yong Shin, Byoung-Kee Yi
Summary: This study applied deep learning-based natural language processing methods to extract information from colonoscopy reports. The bidirectional LSTM model was selected as the best performing model. Using pre-trained word embeddings improved the performance and the model achieved high F1 scores for various colonoscopic findings.
BMC MEDICAL INFORMATICS AND DECISION MAKING
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Katharina Jeblick, Balthasar Schachtner, Jakob Dexl, Andreas Mittermeier, Anna Theresa Stueber, Johanna Topalis, Tobias Weber, Philipp Wesp, Bastian Oliver Sabel, Jens Ricke, Michael Ingrisch
Summary: Although further adaptation to the medical field is needed, the initial insights from this study suggest a significant potential in using large language models like ChatGPT to improve patient-centered care in radiology and other medical domains. The use of ChatGPT by patients to simplify and explain their medical reports raises opportunities and challenges for clinical practice, emphasizing the need for supervision by medical experts and adaptation to the medical field.
EUROPEAN RADIOLOGY
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Wilson Lau, Kevin Lybarger, Martin L. Gunn, Meliha Yetisgen
Summary: This paper presents a study on semantic annotation of radiology reports using deep learning models. The authors built a corpus of 500 annotated reports and extracted trigger words and argument entities using the advanced deep learning architecture BERT. They predicted the linkages between triggers and argument entities and demonstrated the model's generalizability through testing on an external validation set.
JOURNAL OF DIGITAL IMAGING
(2023)
Article
Computer Science, Artificial Intelligence
Humza Naseer, Sean B. Maynard, Kevin C. Desouza
Summary: The study investigates how organizations utilize business analytics to develop, process, and exploit analytical information in cybersecurity incident response, highlighting the importance of using analytical information processing capability to enhance enterprise security performance. The findings contribute valuable insights to both BA and cybersecurity literature, shedding light on the facilitation of analytics-driven decision making in CSIR.
DECISION SUPPORT SYSTEMS
(2021)
Article
Ecology
Carlos Gershenson
Summary: The author points out the lack of a unified definition of intelligence and the inability to simply determine whether different systems possess intelligence. Instead, information theory is utilized to compare cognitive systems' potential intelligence, emphasizing the significance of organization.
FRONTIERS IN ECOLOGY AND EVOLUTION
(2021)
Article
Neurosciences
Thomas M. Gates, Ian J. Baguley, Melissa T. Nott, Grahame K. Simpson
Article
Public, Environmental & Occupational Health
Melissa T. Nott, Kristy M. Robson, Kylie Murphy, Rodney P. Pope, Tana Cuming, Michael Curtin
AUSTRALIAN JOURNAL OF RURAL HEALTH
(2019)
Review
Clinical Neurology
Ian James Baguley, Hannah Louise Holman Barden, Emmanuel Jesulola, Melissa Therese Nott
Article
Rehabilitation
Melissa Nott, Leah Wiseman, Tanya Seymour, Shannon Pike, Tana Cuming, Gemma Wall
Summary: This study examined the impact of a 12-week stroke self-management program on occupational performance and satisfaction, finding significant improvements in both areas. Self-efficacy was identified as a key mediator for these improvements. Thematic analysis revealed barriers and facilitators related to transitioning home, returning to normal activities, and reflecting on shared experiences.
DISABILITY AND REHABILITATION
(2021)
Article
Rehabilitation
Melissa T. Nott, Hannah L. H. Barden, Chris Chapparo, Judy L. Ranka
AUSTRALIAN OCCUPATIONAL THERAPY JOURNAL
(2020)
Article
Neurosciences
Melissa Therese Nott, Christine Chapparo
Article
Rehabilitation
Jocelyn White, Melissa T. Nott, Chris Barr, Christine J. Chapparo, Stacey George
BRITISH JOURNAL OF OCCUPATIONAL THERAPY
(2020)
Article
Neurosciences
Ian J. Baguley, Hannah L. Barden, Melissa T. Nott
Review
Psychology, Developmental
Kate Freire, Rod Pope, Kate Jeffrey, Kristen Andrews, Melissa Nott, Tricia Bowman
Summary: This review examines the methods and approaches used in participatory research with children and adolescents for the development of health resources and interventions. The commonly reported participatory approaches include community-based participatory research, codesign, participatory design, coproduction, and user-centred design. It was found that more involvement of co-researchers is needed in the later stages of participatory approaches.
ADOLESCENT RESEARCH REVIEW
(2022)
Article
Rehabilitation
Marieke Lindenschot, Saskia Koene, Melissa T. Nott, Maria W. G. Nijhuis-van der Sanden, Imelda J. M. de Groot, Esther M. J. Steultjens, Maud J. L. Graff
Summary: This study investigated the reliability and validity of the PRPP-Assessment using parent-provided videos of children with mitochondrial disorders. The results showed that the PRPP-Assessment demonstrated good psychometric properties in terms of internal consistency, intra-rater reliability, and inter-rater reliability. The PRPP-Assessment also showed good construct validity when compared to the Canadian Occupational Performance Measure. Rasch analysis further supported the validity of the PRPP-Assessment. Therefore, using parent-provided videos for the assessment of the PRPP-Assessment is a feasible approach.
DISABILITY AND REHABILITATION
(2023)
Article
Sociology
Natasha Brusco, Andrea Voogt, Melissa Nott, Libby Callaway, Mae Mansoubi, Natasha Layton
Summary: Rehabilitation technologies are rapidly advancing but access is limited in rural areas. This study examines the economic feasibility of robotics-based therapy (RBT) in rural Victoria, Australia and finds that establishing an RBT program may be cost-effective with similar clinical outcomes compared to traditional rehabilitation. The research demonstrates the economic viability of delivering RBT in a regional public health stroke service and reducing the capability gap between rural and metropolitan stroke survivors by tackling the access disadvantage.
Article
Rehabilitation
Rebecca Leanne Smith, Judy Ranka, Melissa Nott
Summary: This paper explores the use of the PRPP Assessment in Aboriginal and Torres Strait Islander peoples in Australia. Through a case study, it was found that the PRPP Assessment can measure changes in cognitive strategy use and their impact on task performance. This assessment method can inform goal setting and guide intervention to support cognitive strategy use during task performance.
AUSTRALIAN OCCUPATIONAL THERAPY JOURNAL
(2023)
Article
Education & Educational Research
Tracey Parnell, Kate Fiske, Kellie Stastny, Sarah Sewell, Melissa Nott
Summary: Meaningful involvement of people with lived experience is an invaluable approach to education that facilitates the development of knowledge, skills and attitudes for collaborative, compassionate and person-centred healthcare practice. The purpose of this evaluation was to gather perspectives of health professional educators on an online learning resource that presents the lived experiences of people who have been consumers of the Australian mental health system. The results showed that the resource was well-received and perceived to be effective in achieving learning outcomes related to understanding the experiences of people with mental health issues.
BMC MEDICAL EDUCATION
(2023)
Article
Rehabilitation
Ingrid H. W. M. Sturkenboom, Melissa T. Nott, Bastiaan R. Bloem, Christine Chapparo, Esther M. J. Steultjens
JOURNAL OF REHABILITATION MEDICINE
(2020)
Article
Neurosciences
Thomas Munro Gates, Ian James Baguley, Grahame Kenneth Simpson, Hannah Louise Holman Barden, Melissa Therese Nott