Results 121 to 130 of about 23,492,034 (304)

National Intelligence Daily 13 July 1983 [PDF]

, 1983
Declassified on 2017-11 ...
United States. Central Intelligence Agency.
core  

Artificial Intelligence in Systemic Sclerosis: Clinical Applications, Challenges, and Future Directions

Arthritis Care &Research, EarlyView.
Systemic sclerosis (SSc) is a rare autoimmune disease defined by immune dysregulation, vasculopathy, and progressive fibrosis of the skin and internal organs. Despite advances in care, major complications such as interstitial lung disease (ILD) and myocardial involvement remain the leading causes of morbidity and mortality.
Cristiana Sieiro Santos, José Miguel Sequí‐Sabater, Diego Benavent   +2 more
wiley   +1 more source

A Hybrid Intelligent Decision Support Method for Abnormal Situation Management

Big Data and Cognitive Computing
Nowadays, the volume of heterogeneous data in situational analysis centers is growing exponentially, leading to information overload for decision makers (DMs) and a decrease in the effectiveness of traditional decision support systems (DSS).
Rasul A. Kochkarov, Sergey V. Matseevich, Aleksandr V. Timoshenko, Aleksandr S. Zakharov   +3 more
doaj   +1 more source

Reorganizing U.S. domestic intelligence : assessing the options /

, 2008
"One of the questions in the fight against terrorism is whether the United States needs a dedicated domestic intelligence agency separate from law enforcement, on the model of many comparable democracies. To examine this issue, Congress directed that the
Intelligence Policy Center (U.S.), Treverton, Gregory F., Rand Homeland Security (Program)   +2 more
core   +1 more source

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

National Intelligence Daily 25 July 1983 [PDF]

, 1983
Declassified on 2017-11 ...
United States. Central Intelligence Agency.
core  

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

National Intelligence Daily 2 March 1981

, 1981
Declassified on 2017-11 ...
United States. Central Intelligence Agency.
core  

National Intelligence Daily (Cable) 11 March 1982 [PDF]

, 1982
Declassified on 2017-11 ...
United States. Central Intelligence Agency.
core  

Factors Associated With Fibromyalgia Diagnosis Among People Meeting Criteria: Results From UK Biobank

Arthritis Care &Research, EarlyView.
Objective The diagnosis of fibromyalgia (FM) is challenging due to the absence of definitive biomarkers, numerous overlapping comorbidities, and its reliance on patient‐reported symptoms. Discrepancies between diagnostic criteria and clinical practice imply the possibility of diagnostic biases, complicating timely and accurate identification.
Sung‐A Kim, Gary J. Macfarlane, Marcus J. Beasley   +2 more
wiley   +1 more source