Latest AI and machine learning research in domestic violence for healthcare professionals.
Radiology reporting is narrative, and its content depends on the clinician's ability to interpret the images accurately. A tertiary hospital, such as anonymous institute, focuses on writing reports narratively as part of training for medical personnel. Nevertheless, free-text reports make it inconvenient to extract information for clinical audits and data mining. Therefore, we aim to convert unstr...
The progress of computational toxicology (CompTox) in drug safety research is highly anticipated. CompTox provides toxicity screening methods for drug discovery in the early stages. CompTox also contributes to fostering the application of the principles of the 3Rs in toxicity testing by expanding non-animal test methods. The mechanism of toxicity is complex and varied, and drug discovery modalitie...
Recent developments have enabled daily accumulated medical information to be converted into medical big data, and new evidence is expected to be creat...
Aortofemoral bypass surgery is still the «gold standard» for aortoiliac lesions with excellent results and long-term patency despite improvement of en...
INTRODUCTION: Various minimally invasive spine surgery (MISS) techniques have been developed with the goal of reducing approach-related soft-tissue tr...
Despite the achievements obtained worldwide in the control of tuberculosis in recent years, many countries and regions including China still face chal...
Rigorous evaluation of artificial intelligence (AI) systems for image classification is essential before deployment into health-care settings, such as...
Fentanyl and its analogues are psychoactive substances and the concern of fentanyl abuse has been existed in decades. Because the structure of fentany...
Due to factors such as medical resources, public awareness, funding for general screening, or optimized screening models, community-based screening is...
Breast cancer screening has evolved substantially over the past few decades because of advancements in new image acquisition systems and novel artific...
PURPOSE: In patients with ophthalmic disorders, psychosocial risk factors play an important role in morbidity and mortality. Proper and early psychiat...
Artificial intelligence (AI) is, in essence, the concept of 'computer thinking', encompassing methods that train computers to perform and learn from e...
Cancer screening and timely follow-up of abnormal results can reduce mortality. One barrier to follow-up is the failure to identify abnormal results. ...
OBJECTIVE: Vital signs and laboratory values are used to guide decisions to use damage control techniques in lieu of early definitive fracture fixatio...
Successful resection of all visible lesions may effectively treat endometriosis-related infertility and pelvic pain. Minimally invasive surgery provid...
Target prediction and virtual screening are two powerful tools of computer-aided drug design. Target identification is of great significance for hit d...
An appropriate screening approach and quality care are crucial for TB programmes in prisons. This study assessed crude TB prevalence, accuracy of the...
To perform a systematic review (SR) and meta-analysis (MA) of outcomes of robot-assisted laparoscopic pyeloplasty (RALP) for ureteropelvic junction (...
BACKGROUND: Existing mortality prediction models have attempted to quantify injury burden following trauma-related admissions with the most notable be...