Artificial Intelligence Medical Compendium

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

Showing 1,581 to 1,590 of 200,546 articles

Occupational therapists' perceptions of artificial intelligence: Potential, preparedness, and training needs.

Australian occupational therapy journal
INTRODUCTION: Artificial intelligence (AI) is transforming health care, yet its impact on occupational therapy remains underexplored. This study investigated occupational therapists' perceptions of AI's potential, preparedness, and training needs and... read more 

Digital Health in Midwifery Practice: A Qualitative Review of Midwives' Experiences and Perceptions.

International nursing review
AIM: To synthesize qualitative evidence on midwives' experiences and perceptions regarding the use of digital health technologies in clinical maternity care. BACKGROUND: Although digital health technologies are rapidly transforming maternity care, th... read more 

ConvCGP: A convolutional neural network to predict genetic values of agronomic traits from compressed genome-wide polymorphisms.

The plant genome
The growing size of genome-wide polymorphism data in animal and plant breeding has raised concerns regarding computational load and time, particularly when predicting genetic values for target traits using genomic prediction. Several deep learning an... read more 

Applying natural language processing and large language models to clinical notes for phenotyping and diagnosing rare diseases: a systematic review.

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVES: Patients with rare diseases often face long delays before receiving a diagnosis. Using electronic health records for automated phenotyping and diagnosis of rare diseases is a promising approach but can be challenging because critical info... read more 

How to Teach Generative Artificial Intelligence in Undergraduate Medical Education.

The clinical teacher
Generative artificial intelligence (AI) refers to computational systems capable of analysing data, recognising patterns and generating outputs that may support decisions. In healthcare, AI has the potential to improve diagnostic accuracy and provide ... read more 

Automating infection indicator extraction in home healthcare through instruction-tuned large language models.

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVE: Home healthcare (HHC) clinical notes contain critical infection indicators that clinicians need in structured "indicator + context" pairs. Data sparsity and limited computing resources hinder automated extraction in decentralized HHC setti... read more 

Harnessing Artificial Intelligence to Counter Microbial Immune Evasion Strategies.

Clinical laboratory
BACKGROUND: Microbial pathogens deploy sophisticated mechanisms to evade host immune responses, complicating the development of effective therapeutics. Artificial intelligence (AI) offers innovative tools to analyze complex host-pathogen interactions... read more 

Leveraging clinical epidemiology concepts to strengthen machine learning fairness evaluations.

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVES: The increasing use of machine learning (ML) in clinical care makes fairness a central issue. Fairness, defined as the absence of disparities across individuals or subgroups, shares several parallels with concepts in clinical epidemiology.... read more 

Perceptions of Intensive Care Nurses Toward Artificial Intelligence Technologies: A Qualitative Study.

Nursing & health sciences
Intensive care nurses play a pivotal role in patient care; however, their perceptions and concerns regarding artificial intelligence (AI) in intensive care units remain limited. This study aimed to explore ICU nurses' views on AI to support effective... read more