Towards federated transfer learning in electrocardiogram signal analysis.

Modern methods in artificial intelligence perform very well on many healthcare datasets, at times outperforming trained doctors. However, many assumptions made in model training are not justifiable in clinical settings. In this work, we propose a method to train classifiers for electrocardiograms, able to deal with data of disparate input dimensions, distributed across different institutions, and able to protect patient privacy.

AttentionCovidNet: Efficient ECG-based diagnosis of COVID-19.

The novel coronavirus caused a worldwide pandemic. Rapid detection of COVID-19 can help reduce the spread of the novel coronavirus as well as the burden on healthcare systems worldwide. The current method of detecting COVID-19 suffers from low sensitivity, with estimates of 50%-70% in clinical settings.

Continuous peritoneal dialysis and the extended care facility.

The projected disproportionate increase in the number of elderly patients reaching end-stage renal disease constitutes a dramatic change in dialysis demographics. The nursing home or extended care facility (ECF) will become an increasingly important feature of care for both rehabilitation and long-term patient management. For continuous peritoneal dialysis (CPD), the ECF has been critically evaluated in only a single specialized, university-based, geriatric facility that included trained peritoneal dialysis nurses providing care.

Tidal peritoneal dialysis to achieve comfort in chronic peritoneal dialysis patients.

Patients with end-stage renal disease on chronic peritoneal dialysis (CPD) can usually tolerate continuous ambulatory peritoneal dialysis (CAPD) or continuous cycling peritoneal dialysis (CCPD) without abdominal discomfort or pain. In some patients, pain or discomfort occurs with complete drain of the peritoneal dialysis solution or upon initiation of dialysis filling when the peritoneal cavity is empty. We report on the use of tidal peritoneal dialysis (TPD) as a modality to alleviate this pain.