AIMC Topic: Humans

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Integration of biological data via NMF for identification of human disease-associated gene modules through multi-label classification.

PloS one
Proteins associated with multiple diseases often interact, forming disease modules that are critical for understanding disease mechanisms. This study integrates protein-protein interactions (PPIs) and Gene Ontology data using non-negative matrix fact...

Comprehensive financial health assessment using Advanced machine learning techniques: Evidence based on private companies listed on ChiNext.

PloS one
This study develops a specific and measurable framework for assessing the financial health (FH) of privately-owned companies listed on ChiNext, aimed at identifying financially sound enterprises and helping investors avoid losses caused by financial ...

Evaluating generative artificial intelligence's limitations in health policy identification and interpretation.

PloS one
Policy epidemiology utilizes human subject-matter experts (SMEs) to systematically surface, analyze, and categorize legally-enforceable policies. The Analysis and Mapping of Policies for Emerging Infectious Diseases project systematically collects an...

PHyPO: Priority-based Hybrid task Partitioning and Offloading in mobile computing using automated machine learning.

PloS one
With the increasing demand for mobile computing, the requirement for intelligent resource management has also increased. Cloud computing lessens the energy consumption of user equipment, but it increases the latency of the system. Whereas edge comput...

Gastric ultrasound: Enhancing preoperative risk assessment and patient safety.

Journal of perioperative practice
Perioperative pulmonary aspiration is a critical complication linked to significant morbidity and mortality, particularly in high-risk populations such as patients with diabetes, obesity, gastroparesis, or those using Glucagon-Like-Peptide-1 receptor...

Artificial intelligence in surgical pathology - Where do we stand, where do we go?

European journal of surgical oncology : the journal of the European Society of Surgical Oncology and the British Association of Surgical Oncology
Surgical and neuropathologists continuously search for new and disease-specific features, such as independent predictors of tumor prognosis or determinants of tumor entities and sub-entities. This is a task where artificial intelligence (AI)/machine ...

VIIDA and InViDe: computational approaches for generating and evaluating inclusive image paragraphs for the visually impaired.

Disability and rehabilitation. Assistive technology
BACKGROUND: Existing image description methods when used as Assistive Technologies often fall short in meeting the needs of blind or low vision (BLV) individuals. They tend to either compress all visual elements into brief captions, create disjointed...

Exploring Shared and Unique Predictors of Positive and Negative Risk-Taking Behaviors Among Chinese Adolescents Through Machine-Learning Approaches: Discovering Gender and Age Variations.

Journal of youth and adolescence
Despite extensive research on the impact of individual and environmental factors on negative risk-taking behaviors, the understanding of these factors' influence on positive risk-taking, and how it compares to negative risk taking, remains limited. T...

Evaluation of the mandibular canal and the third mandibular molar relationship by CBCT with a deep learning approach.

Oral radiology
OBJECTIVE: The mandibular canal (MC) houses the inferior alveolar nerve. Extraction of the mandibular third molar (MM3) is a common dental surgery, often complicated by nerve damage. CBCT is the most effective imaging method to assess the relationshi...