Artificial Intelligence Medical Compendium

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

Showing 61,901 to 61,910 of 230,319 articles

Empowering the pharmaceutical workforce for the digital future.

European journal of pharmaceutical sciences : official journal of the European Federation for Pharmaceutical Sciences
The pharmaceutical industry is undergoing a rapid digital transformation. These changes are reshaping drug substance and drug product development and manufacturing, creating both opportunities and challenges that span pharmaceutical sciences, data sc... read more 

Deep learning architectures for modeling and forecasting stroke cases in Ghana.

Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association
INTRODUCTION: Stroke remains a leading cause of global morbidity and mortality, ranking second in deaths and third in disability-adjusted life years (DALYs). Its burden is particularly severe in low- and middle-income countries such as Ghana, where s... read more 

Spatial and spatiotemporal pattern of stroke relative risk in Ghana using Bayesian modelling approach.

Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association
INTRODUCTION: Stroke ranks as the second-leading cause of death and third in combined death and disability globally. In Ghana, there is a significant incidence of stroke, yet systematic reviews highlight a lack of comprehensive data on stroke in Sub-... read more 

BrinjalFruitX: A field-collected image dataset for machine learning and deep learning-based disease identification in brinjal fruits.

Data in brief
Brinjal (Solanum melongena) or eggplant is one of the four most essential vegetable crops that are grown in Bangladesh and contribute significantly to the agricultural industry of the country. Brinjal supports the livelihood of numerous small farmers... read more 

Integrating thermal liquid biopsy, clinical data, and mass spectrometry for early diagnosis and biomarker discovery in colorectal cancer.

iScience
Early detection of colorectal cancer is essential to improving survival, where yet current diagnostic tools show limited performance. This study aimed to enhance diagnostic accuracy by integrating clinical variables with thermogram profiles obtained ... read more 

Evaluating deep learning time series models for PM2.5 forecasting across diverse horizons.

iScience
Air pollution, particularly PM2.5, poses a major health challenge in urban areas such as Chengdu, China, where basin topography and intense emission sources exacerbate pollutant concentrations. This study evaluates four deep-learning time series algo... read more 

Identification of antihypertensive, antidiabetic, and antioxidant peptides derived from hydrolysates of dairy white wastewaters containing milk proteins using machine learning insights.

Food research international (Ottawa, Ont.)
Dairy white wastewater (WW), a by-product of industrial cleaning processes, contains residual milk proteins that can be enzymatically converted into bioactive peptides. In this study, WW proteins were hydrolyzed using four enzymes, pepsin, trypsin, t... read more 

Patient-specific deep offline artificial pancreas for blood glucose regulation in type 1 diabetes.

Smart health (Amsterdam, Netherlands)
Due to insufficient insulin secretion, patients with type 1 diabetes mellitus (T1DM) are prone to blood glucose fluctuations ranging from hypoglycemia to hyperglycemia. While dangerous hypoglycemia may lead to coma immediately, chronic hyperglycemia ... read more 

Deep Learning-Based Classification of Slit-Lamp Photograph Quality in Microbial Keratitis.

Ophthalmology science
OBJECTIVE: Microbial keratitis (MK) is one of the leading causes of blindness in low- and middle-income countries that often requires timely diagnosis and subsequent treatment. Literature has shown that poor-quality slit-lamp photos (SLPs) can negati... read more 

Generative Artificial Intelligence-Enabled Saliency Analysis of Eye Tracking in Cerebral/Cortical Visual Impairment (SET-CVI).

Ophthalmology science
PURPOSE: Children with cerebral/cortical visual impairment (CVI) have neurological conditions that impact visual pathways in the brain, leading to deficits in both lower- and higher-order visual function that can be challenging to measure, especially... read more