Latest AI and machine learning research in addictions for healthcare professionals.
BACKGROUND : Reliable documentation is essential for maintaining quality standards in endoscopy; however, in clinical practice, report quality varies. We developed an artificial intelligence (AI)-based prototype for the measurement of withdrawal and intervention times, and automatic photodocumentation. METHOD: A multiclass deep learning algorithm distinguishing different endoscopic image content ...
This article is a theoretical discourse about technological machines and artificial intelligence, highlighting their effective interactive outcomes in nursing. One significant influence is technological efficiency which positively affects nursing care time, enabling nurses to focus more on their patients as the core of nursing. The article examines the impact of technology and artificial intellige...
The artificial intelligence (AI) revolution has arrived, as AI systems are increasingly being integrated across organizational functions into the work...
The purpose of this study was to compare the clinical outcomes of bladder cancer patients treated with extended pelvic lymph node dissection (ePLND) ...
Understanding and optimizing adolescent-specific engagement with behavior change interventions will open doors for providers to promote healthy change...
BACKGROUND: Analgesia after robot assisted radical cystectomy aims to reduce postoperative pain and opioid consumption, while facilitating early mobil...
Capnography monitors trigger high priority 'no breath' alarms when CO measurements do not exceed a given threshold over a specified time-period. False...
The detection of tumour gene mutations by DNA or RNA sequencing is crucial for the prescription of effective targeted therapies. Recent developments s...
Conductive hydrogels have promising applications in flexible electronic devices and artificial intelligence, which have attracted much attention in re...
ChatGPT has been a frequent topic of discussion lately. All over the Internet, from YouTube to blogs, there have been reports about how ChatGPT is abl...
Conductive hydrogels as promising candidates of wearable electronics have attracted considerable interest in health monitoring, multifunctional electr...
The identification of drug-target relations (DTRs) is substantial in drug development. A large number of methods treat DTRs as drug-target interaction...
Machine learning (ML) has emerged as a method to determine patient-specific risk for prolonged postoperative opioid use after orthopedic procedures. ...
Few empirical studies have examined how people understand counterfactual explanations for other people's decisions, for example, "if you had asked for...
Cytochrome P450 enzymes aid in the elimination of a preponderance of small molecule drugs, but can generate reactive metabolites that may adversely re...
Three-dimensional (3D) printing, digitalization, and artificial intelligence (AI) are gaining increasing interest in modern medicine. All three aspect...
Although Native (American Indian and Alaska Native [AI/AN]) populations have high rates of abstinence from alcohol, health problems associated with su...
The genetic etiologies of common diseases are highly complex and heterogeneous. Classic methods, such as linear regression, have successfully identifi...
The El Niño Southern Oscillation (ENSO) is a semi-periodic fluctuation in sea surface temperature (SST) over the tropical central and eastern Pacific ...
High-sensitivity early fire detection is an essential prerequisite to intelligent building safety. However, due to the small changes and erratic fluct...