Background Postpartum depression (PPD) presents a serious health problem among
women and their families. Machine learning (ML) is a rapidly advancing field with increasing …

Modern medicine, both in clinical practice and research, has become more and more based
on data, which is changing equally in type and quality with the advent and development of …

Abstract» The application of artificial intelligence (AI) in the field of orthopaedic surgery
holds potential for revolutionizing health care delivery across 3 crucial domains:(I) …

Background Substance use and overdose deaths make up a substantial portion of injury-
related deaths in the United States, with the state of Ohio leading the nation in rates of …

Background The development of artificial intelligence (AI), machine learning (ML) and deep
learning (DL) has advanced rapidly in the medical field, notably in trauma medicine. We …

Background Digital health has been taught at medical faculties for a few years. However, in
general, the teaching of digital competencies in medical education and training is still …

Background Identification of prognostic variables for poor outcomes following open
reduction internal fixation (ORIF) of displaced proximal humerus fractures have been limited …

Artificial intelligence (AI), machine learning, neural networks, and shallow and deep learning
are all forms of data analytics that are creeping into the orthopaedic lexicon 1—with good …

Background: The development of artificial intelligence (AI), machine learning (ML) and deep
learning (DL) has advanced rapidly in the medical field, notably in trauma medicine. We …

Phononic crystals are artificial materials comprised of periodic structures that can
manipulate propagating mechanical waves. They have potential applications in various …