Background Artificial intelligence (AI) has already revolutionized the analysis of image, text,
and tabular data, bringing significant advances across many medical sectors. Now, by …

Objective We developed an artificial intelligence decision support algorithm (AI-DSA) that
uses routine echocardiographic measurements to identify severe aortic stenosis (AS) …

Background Only a subset of patients with gastric cancer experience long-term benefits from
immune checkpoint inhibitors (ICIs). Currently, there is a deficiency in precise predictive …

Heart rate variability (HRV) is the physiological variation in the intervals between
consecutive heartbeats that reflects the activity of the autonomic nervous system. This …

Objective: The development of an accurate, non-invasive method for the diagnosis of
peripheral artery disease (PAD) from accelerometer contact microphone (ACM) recordings …

Objective: To develop a cuffless method for estimating blood pressure (BP) from fingertip
strain plethysmography (SPG) recordings. Methods: A custom-built micro-electromechanical …

Objective: Development of a contact microphone-driven screening framework for the
diagnosis of coexisting valvular heart diseases (VHDs). Methods: A sensitive accelerometer …

Background Breast-conserving surgery is aimed at removing all cancerous cells while
minimizing the loss of healthy tissue. To ensure a balance between complete resection of …

The indexes of cardiac mechanics can be derived from the cardiac time intervals, CTIs, ie,
the timings among the opening and closure of the aortic and mitral valves and the Q wave in …

Data limitation is a significant challenge in applying deep learning to medical images.
Recently, the diffusion probabilistic model (DPM) has shown the potential to generate high …