Artificial Intelligence Medical Compendium

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

Showing 47,431 to 47,440 of 224,199 articles

Can you smell what AI is advising? Human, machine, or both: A comparative experimental study on financial advice.

Acta psychologica
The study tested if the source of financial advice (Human, AI or Human-AI Hybrid) impacted the outcome of a long-term financial portfolio using a quasi-experimental design with 93 participants. We objectively measured the financial outcomes. By groun... read more 

Apps for people with vision impairment: an international review of practitioner suggestions and app availability.

Clinical & experimental optometry
CLINICAL RELEVANCE: Assistive smartphone apps play an integral role in supporting people with vision impairment (VI). Low vision rehabilitation (LVR) professionals need an understanding of these tools to provide effective, up-to-date guidance to help... read more 

Non-pharmacological treatment of AECOPD.

Seminars in respiratory and critical care medicine
Acute exacerbations of chronic obstructive pulmonary disease (AECOPDs) are acute events characterized by rapid worsening of dyspnea, cough, and sputum production, often leading to gas exchange impairment, ventilatory failure, and hospitalization. Whi... read more 

Artificial Intelligence for Single-Image Diagnosis of Autoimmune Gastritis Using Gastric Corpus Atrophy Images: A Multicenter Retrospective Diagnostic Study.

Journal of gastroenterology and hepatology
BACKGROUND AND AIMS: Endoscopic differentiation between autoimmune gastritis (AIG) and Helicobacter pylori-associated atrophic gastritis (HpAG) remains clinically challenging, often leading to misdiagnosis and inappropriate treatment. We aimed to dev... read more 

Generative artificial intelligence in dementia care: a scoping review protocol on nursing roles, experiences and ethical perspectives.

BMJ open
INTRODUCTION: Generative artificial intelligence (GAI), including large language models and multimodal generative systems, is rapidly emerging in healthcare with growing interest in its potential applications for dementia care. These technologies off... read more 

Bringing AI to the OR: integrating a machine learning predictive model in the EHR - a pilot on user-friendliness.

BMJ health & care informatics
OBJECTIVES: Evaluate the technical integration and usability of an intraoperative predictive machine learning model for colorectal anastomotic leakage within the Epic electronic health records (EHRs) at a single academic centre, with outputs blinded.... read more 

Longitudinal multisource clinical model for early lung cancer risk stratification and screening.

BMJ health & care informatics
OBJECTIVES: Lung cancer is the leading cause of cancer-related mortality worldwide, with poor prognosis largely due to late-stage diagnosis. Current screening methods such as low-dose CT face accessibility and cost barriers in resource-limited settin... read more 

Predicting low oxygen in patients with acute COVID-19 infection isolating at home: a clinical prediction model.

BMJ open respiratory research
RATIONALE: Identifying patients who could be safely managed at home versus those needing hospitalisation was a particular concern during early COVID-19. Respiratory viruses remain a concern, including new COVID-19 variants, influenza and respiratory ... read more 

Protocol for the development and validation of a questionnaire to evaluate user-robot interaction in the compounding of hazardous drugs in a hospital setting.

Farmacia hospitalaria : organo oficial de expresion cientifica de la Sociedad Espanola de Farmacia Hospitalaria
INTRODUCTION: The automation of hazardous drug preparation in hospitals using robotic systems is an effective strategy to enhance safety, quality, and process efficiency. However, its implementation introduces a novel user-robot interaction that tran... read more 

ChemTorch: A Deep Learning Framework for Benchmarking and Developing Chemical Reaction Property Prediction Models.

Journal of chemical information and modeling
Modeling of chemical reactions is essential for understanding kinetic mechanisms and predicting possible outcomes of reacting systems. Quantum mechanical calculations are accurate but often prohibitively expensive. Deep learning has emerged as a fast... read more