Artificial Intelligence Medical Compendium

Diabetic retinopathy (DR) is a leading cause of vision impairment globally, necessitating early and accurate detection through effective screening methods. We focus on the integration of artificial intelligence (AI) techniques in automating and enhan... read more 

BACKGROUND & AIMS: Immune checkpoint inhibitor-based combination therapy has demonstrated high objective response rates in patients with hepatocellular carcinoma (HCC) and may improve clinical outcomes as neoadjuvant or perioperative therapy. This st... read more 

This study investigates the potential of integration of confocal micro-Raman and UV-Vis spectroscopy with machine learning and deep learning algorithms to assess biochemical responses of mung bean plants exposed to silicon dioxide nanoparticles (SiO2... read more 

The resource evaluation and development of non-medicinal parts of traditional medicinal herbs have significant implications. However, the traditional detection methods and analytical techniques are hindered by their complex operations and time-consum... read more 

Offline reinforcement learning provides the capability to learn a policy only from pre-collected datasets, but its performance is often limited by the quality of the offline dataset and the coverage of the state-action space. Offline-to-online reinfo... read more 

INTRODUCTION: Despite recent technological advancements, documentation within the electronic health record (EHR) remains a time-consuming task within orthopaedic surgery and may contribute to provider inefficiency, prolonged work hours, and increased... read more 

Automated machine learning (AutoML) is a promising solution for building a machine learning framework without human assistance and has attracted significant attention throughout the computational intelligence research community. Although there has be... read more 

INTRODUCTION: This study aimed to create a survival prediction model for breast cancer(BC) using perioperative anesthesia - related drug target genes(PARDTGs). It explored their immune microenvironment and drug sensitivity for personalized therapy. M... read more 

Rice blast is a fungal disease that threatens rice yield and quality, and timely detection methods are essential to control its spread. Unmanned aerial vehicle (UAV)-based optical Remote Sensing offers a promising approach for monitoring disease in f... read more 

Hospitals face significant challenges in parking management and assessing ambulances due to fast-growing urbanization, high population density, and traffic load in metro cities. The healthcare delivery system is impacted by inappropriate parking faci... read more