Artificial intelligence for stepwise diagnosis and monitoring of COVID-19.

Background: Main challenges for COVID-19 include the lack of a rapid diagnostic test, a suitable tool to monitor and predict a patient's clinical course and an efficient way for data sharing among multicenters. We thus developed a novel artificial intelligence system based on deep learning (DL) and federated learning (FL) for the diagnosis, monitoring, and prediction of a patient's clinical course.

Methods: CT imaging derived from 6 different multicenter cohorts were used for stepwise diagnostic algorithm to diagnose COVID-19, with or without clinical data.

Adverse effects associated with photodynamic therapy (PDT) of port-wine stain (PWS) birthmarks.

Background: Several Chinese studies suggest that Hemoporfin-mediated photodynamic therapy (PDT) is an alternative treatment for port-wine stain (PWS) birthmarks.

Objective: To evaluate treatment responses and adverse effects associated with Hemoporfin PDT for the treatment of PWS and their management.

Method: The medical records of 700 patients who underwent PDT treatment in our center were retrospectively examined.

[Gene expression profile of refractory acute myeloid leukemia (M2a)].

Background & Objective: Recurrence is the major cause of treatment failure of acute myeloid leukemia (AML). At recurrence, some patients show changes in immunophenotype and cytogenetics. Drug resistance, the main cause of refractoriness of AML, is related to abnormal genes expression.

Spatiotemporal analysis of ERP during chinese idiom comprehension.

The objective of the present study was to elucidate the neural underpinning of Chinese idiom comprehension with spatiotemporal patterns of ERP. Thirteen subjects were required to decide whether the last character of each viewed Chinese four-character idiom was correct or not. Fuzzy c-means algorithm based on shape similarity was applied to segmenting spatiotemporal patterns of ERP.