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The rapid expansion of conversational artificial intelligence (AI) usage in healthcare, nutrition, and digital health education has made prompting a routine part of professional and personal practice. However, each AI pr...

ObjectivesThis research aims to engineer a specialized, high-speed database architecture tailored for intelligent video surveillance in critical healthcare environments. The primary objective is to overcome the input/out...

Abstract Background The internet has become an important source of information for cancer patients. Numerous websites provide nutritional advice that promises benefits for the outcome of cancer therapy. The aim of our st...

Abstract Introduction Suicide is a serious public health problem that affects the whole world. This study describes development of the prototype for an mHealth application (app) intended to assist healthcare profession...

Abstract BackgroundMedlinePlus, developed by the National Library of Medicine (NLM) in the United States, is one of the most widely used, authoritative, consumer-grade health information resources on the web....

Abstract Background In China, the informed consent for thrombolysis in patients with AIS tends to be primarily signed by proxy decision-makers, generally for the family members of patients. The decision-making process is...

Migraine is a complicated genetic disorder characterized by episodes of moderate-to-severe headaches that are usually unilateral and are frequently accompanied by nausea and increased sensitivity to sound and light. A mi...

The huge rise in the number of medical images has caused a major problem in radiology departments. Radiologists are now working harder than ever, which affects the quality of their diagnoses and patient care. It takes 15...

The integration of the Internet of Things (IoT) into healthcare would mean a revolutionized approach in patient monitoring, diagnosis, and treatment, making this quite some development in healthcare delivery. This review...

The increasing complexity of pharmaceutical management in pharmacies demands efficient systems to streamline drug classification and inventory control. As pharmacies handle a diverse range of formulations, including tabl...

BackgroundPredicting enterocutaneous fistula (ECF)–associated sepsis and mortality poses significant challenges in digital health care due to the disease’s complexity and heterogeneous clinical manifestations. Curren...

Abstract Background Malnutrition among hospitalized older adults in the United States is a growing public health concern associated with poor quality of life, increased mortality, higher readmission rates, and loss of in...

Sophia E Yu,1 Diep Tran,1 Dingfen Han,2 Cindy X Cai1,3 1Wilmer Eye Institute, Johns Hopkins School of Medicine, Baltimore, MD, USA; 2Department of Medicine, Johns Hopkins School of Medicine, Baltimore, MD, USA; 3Biomedic...

Diabetes is prevalent globally, expected to increase in the next few years. This includes people with different types of diabetes including type 1 diabetes and type 2 diabetes. There are several causes for the increase: ...

Objectives Medical device calibration underpins accuracy, precision, and reliability, which are critical to optimal device performance and quality healthcare delivery. Despite its importance, little empirical evidence ex...

This work primarily focuses on diagnosis of heart disease before explicit visit to the expert doctor. Machine learning based systems have been found useful in medical diagnosis applications because of their ability to le...

Abstract Background Postoperative complications of mediastinal tumors significantly impact patients’ quality of life and long-term outcomes; however, a notable gap in the development of predictive tools for their occur...

Abstract Background Tuberculous pericardial effusion (TPE) presents significant diagnostic challenges due to its nonspecific clinical presentation and similarities with other types of pericardial effusion. The available ...

Abstract Clinical text de-identification enables the use of electronic health records while protecting patient privacy, but public training data remain scarce and often have mismatched documentation styles. Recent works ...

Abstract Efficient operating room (OR) time management is critical for healthcare quality, yet the precise relationships among key OR metrics remain underexplored. This study analyzed data from 3,423 patients treated in ...

Abstract Purpose MELD Graph is a state-of-the-art artificial intelligence (AI) model for automated detection of focal cortical dysplasia (FCD), but its performance remains limited, highlighting the need to investigate wh...

Abstract Background Chronic conditions cause millions of deaths annually worldwide. Remote patient monitoring using wearable devices and sensors, combined with machine learning (ML), offers promising strategies for disea...

BACKGROUND: Many interventions found to be effective in health services research studies fail to translate into meaningful patient care outcomes across multiple contexts. Health services researchers recognize the need to...

Materias / palabras clave: medical informatics, nursing, patient care, information systems; Medicine: Medicine (General): Computer applications to medicine. Medical informatics