Results 111 to 120 of about 30,014,955 (237)

Artificial Intelligence–Based Online Symptom Assessment Tools for Systemic Lupus Erythematosus Diagnosis: Patient Perspectives

Arthritis Care &Research, EarlyView.
Objective The objective of this article is to identify perceptions of patients with systemic lupus erythematosus (SLE) regarding artificial intelligence (AI)–based online symptom assessment tools, and the potential of these tools to address diagnostic barriers.
Olivia A. Stein, Jennifer L. F. Lee, Evelyne Vinet, Arielle Mendel, Christian A. Pineau, Fares Kalache, Louis‐Pierre Grenier, Sasha Bernatsky   +7 more
wiley   +1 more source

Eras of bioinformatics technologies from command-line interfaces to artificial intelligence (AI) chatbots. [PDF]

Brief Bioinform
Truong VQ, Ritchie MD.
europepmc   +1 more source

Computer Science Concepts

, 2010
This assignment forms part of the Computer Science Concepts module.
Rong Yang, UKOER, Open Educational Repository in Support of Computer Science   +2 more
core  

Immunosuppressive Drug Use in Limited Systemic Sclerosis: An International Survey

Arthritis Care &Research, EarlyView.
Objective Current guidelines recommend immunosuppressive treatment for diffuse cutaneous systemic sclerosis but are less clear on their use in limited cutaneous systemic sclerosis (lcSSc) in the absence of internal organ complications. We conducted an international survey to understand current immunosuppressive drug prescribing patterns in lcSSc ...
Sabrina Hoa, Yicheng Mu, Marie Hudson, Janet Pope   +3 more
wiley   +1 more source

Development and implementation of a unified curriculum in math, statistics, computing, and informatics with financial considerations for medical physics graduate programs. [PDF]

J Appl Clin Med Phys
Chang J, Vaccarelli MJ.
europepmc   +1 more source

Applied computer science. Practical exercises for learning to program in the C language

This manual offers a practical approach to learning the C programming language through applied exercises. It emphasizes the fundamental process of acquiring programming skills by actively coding, compiling, debugging, and improving simple programs. Structured in progressive stages, it covers essential theoretical concepts, starting from basic computer ...
openaire   +2 more sources

The Lupus Damage Index Revision Program: Results From the Item Generation and Reduction Phases

Arthritis Care &Research, EarlyView.
Objective A data‐driven and expert/patient consensus‐based project to develop a revised Systemic Lupus International Collaborating Clinics (SLICC)/American College of Rheumatology (ACR) Damage Index (SDI) is under way supported by SLICC, ACR, and the Lupus Foundation of America. Our objective is to report the item generation and reduction phase results
Burak Kundakci, Megan R. W. Barber, Ann E. Clarke, Sindhu R. Johnson, Anselm Mak, Hermine I. Brunner, Murat Inanc, Rosalind Ramsey‐Goldman, Guillermo Ruiz‐Irastorza, Ellen M. Ginzler, John G. Hanly, Alexandra Legge, Cynthia Aranow, Laurent Arnaud, Nathalie Costedoat‐Chalumeau, Dafna D. Gladman, Søren Jacobsen, Michelle Petri, Clovis A. Silva, Évelyne Vinet, Alexandre E. Voskuyl, SDI Revision Literature Review Groups, SDI Revision Delphi Panel, SDI Revision Item Reduction Committee, SDI Revision Clinical Domain Groups, Ian N. Bruce   +25 more
wiley   +1 more source

Challenges and Opportunities for Theory-Grounded Data Visualization in Extended Reality. [PDF]

IEEE Comput Graph Appl
Bueckle A, Hutter CVR, Raidou RG, Bryan C, Mindek P, Kaufmann H, Elmqvist N, Menche J, Borner K, Rhyne TM.   +9 more
europepmc   +1 more source

Engagement Patterns With an Artificial Intelligence Health Coach for Systemic Sclerosis Self‐Management: A Mixed Methods Study

Arthritis Care &Research, EarlyView.
Objective To evaluate utility of an artificial intelligence (AI) health coach for systemic sclerosis (SSc) self‐management and identify patterns associated with participant engagement. Methods We conducted a mixed methods study in which an AI health coach, powered by a large language model (LLM), was used to support self‐management for SSc.
Nirali Shah, Melanie Morris, Cristina Daraban, Sophia Johnson, Susan L. Murphy   +4 more
wiley   +1 more source

A dataset for human-written and AI-generated code source classification. [PDF]

Data Brief
Boukili G, Garouani SE, Riffi J.
europepmc   +1 more source