Vanya Gant – författare

The incidence of developing infection in prosthetic joints remains low after primary arthroplasty, but owing to the growing success of joint replacement surgery as a procedure to alleviate pain and improve mobility, infection numbers are increasing. The impact on the patient is immense, and surgical options are challenging. Prevention and reducing the incidence is the key to addressing this problem. Pathways in Prosthetic Joint Infection covers the most common incidences where the risk of PJI is elevated (such as following revision arthroplasty), and indicates suitable approaches to aid the improvement of outcomes. Featuring clearly-illustrated clinical cases on the typical presentation of established and latent infections, the microbiology profiles, assessment, and definitive management are all highlighted. Taking a team-based approach that includes the ortho-plastic surgery team, physiotherapists, and microbiologists, this new book provides a concise summary of the current literature and an essential overview of the management options for those with PJI. Endorsed by the Royal College of Surgeons, BAPRAS, The Vascular Society, and BASK, Pathways in Prosthetic Joint Infection is an indispensable title for all those working with patients who may face PJI.

Artificial neural networks provide a powerful tool to help doctors analyse, model and make sense of complex clinical data across a broad range of medical applications. Their potential in clinical medicine is reflected in the diversity of topics covered in this volume. In addition to looking at applications the book looks forward to exciting future prospects. A section on theory looks at approaches to validate and refine the results generated by artificial neural networks. The volume also recognizes that concerns exist about the use of 'black-box' systems as decision aids in medicine, and the final chapter considers the ethical and legal conundrums arising out of their use for diagnostic or treatment decisions. Taken together, this eclectic collection of chapters provides an exciting overview of harnessing the power of artificial neural networks in the investigation and treatment of disease.