Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 53,261 to 53,270 of 225,548 articles

Interpretable AI-driven prediction of early postoperative recurrence in locally advanced rectal cancer using the Systemic Inflammatory-Nutritional Index (SINTI): A multi-center study and clinical web tool.

International journal of colorectal disease
BACKGROUND: Patients with locally advanced rectal cancer (LARC) who undergo neoadjuvant chemoradiotherapy (NCRT) and subsequently experience early recurrence (ER) within two years post-surgery tend to have unfavorable prognoses. Therefore, the accura... read more 

Extracellular vesicles in colorectal cancer: immunomodulation, diagnostics, and therapeutic perspectives.

Medical oncology (Northwood, London, England)
Colorectal cancer (CRC) remains a significant global health concern and is among the leading causes of cancer-related mortality. The disease often progresses to more advanced and treatment-resistant stages. By 2040, the incidence of CRC is projected ... read more 

Breast Cancer Brain Metastases: Current Understanding and Future Directions.

Current oncology reports
PURPOSE OF REVIEW: To examine recent advances in understanding breast cancer brain metastases (BCBM), with emphasis on metastatic mechanisms, tumour-microenvironment interactions, receptor discordance between primary breast tumours and brain metastas... read more 

Explainable and physics-informed machine learning for seasonal water quality prediction in the monsoon-driven Padma River Basin, Bangladesh.

Environmental geochemistry and health
River water quality in monsoon-driven subtropical basins exhibits strong seasonal variability driven by hydroclimatic forcing and increasing anthropogenic pressure, posing challenges for reliable assessment and management. Despite advances in water q... read more 

Shaping consumer behavior with artificial intelligence and brand elements.

Carbon balance and management
This study is one of the few contextual and integrative empirical studies examining how artificial intelligence marketing efforts (AI MEs) can shape consumers' green purchasing behavior (GPB), particularly among Generation Z consumers in developing c... read more 

An automated detection system of autism spectrum disorder using meta-heuristic approach of adaptive LSTM with bayesian learning technique.

Physical and engineering sciences in medicine
Autism spectrum disorder (ASD) is one of the major neurological symptoms affecting young children. Most neurological diseases are captured through speech, voice and changes in sbrain activity. Research leading to ASD diagnosis is done in different wa... read more 

Dual elastography ultrasound for classifying metabolic dysfunction-associated steatotic liver disease: a cross-sectional study within a prospective cohort.

Hepatology international
BACKGROUND: The binary diagnostic approach does not reflect the entire spectrum of metabolic dysfunction associated steatotic liver disease (MASLD. We used an elastography technology, dual elastography ultrasound (DEUS), to discriminate the different... read more 

AI-augmented decision-making in face matching: comparing concurrent and non-concurrent advice presentation.

Cognitive research: principles and implications
A primary aim of human-AI teaming is to achieve better collaborative performance than either can achieve alone. Despite considerable efforts in this direction, issues such as overreliance of users on decision aids continue to be a challenge which pre... read more 

Evaluating guideline adherence in LLM studies using LLMs.

Japanese journal of radiology
PURPOSE: To evaluate the capability of large language models (LLM), specifically GPT-4 and o1, in assessing adherence to the MI-CLEAR-LLM checklist in previously published studies. MATERIALS AND METHODS: A total of 159 medical research articles relat... read more