Latest AI and machine learning research in preventive care for healthcare professionals.
Radiomic features achieve promising results in cancer diagnosis, treatment response prediction, and ...
Machine learning techniques can be applied to MALDI-TOF mass spectral data of drug-treated cells to ...
This study aimed to screen for thyroid dysfunction using Raman spectroscopy combined with an improve...
The search for early biomarkers of mild cognitive impairment (MCI) has been central to the Alzheimer...
BACKGROUND: In the screening phase of systematic review, researchers use detailed inclusion/exclusio...
Recently, significant attention has been devoted to vaccine-derived poliovirus (VDPV) surveillance d...
Drug development is one of the most significant processes in the pharmaceutical industry. Various co...
Cell Population Data (CPD) provides various blood cell parameters that can be used for differential ...
This study was to assess the feasibility of using non-standardized single-lead electrocardiogram (EC...
Clinical trials often fail to recruit an adequate number of appropriate patients. Identifying eligib...
PURPOSE: In this paper, for the purpose of accurate and efficient mass detection, we propose a new d...
Liquid-based cytology (LBC) is a reliable automated technique for the screening of Papanicolaou (Pap...
Accessing patients' social needs is a critical challenge at emergency departments (EDs). However, mo...
IMPORTANCE: Mammography screening currently relies on subjective human interpretation. Artificial in...
There are two challenges associated with the interpretability of deep learning models in medical ima...
Early diagnosis of lung cancer via computed tomography can significantly reduce the morbidity and mo...
Glucose-6-Phosphate Dehydrogenase (G6PD) is a ubiquitous cytoplasmic enzyme converting glucose-6-pho...
The diagnosis of cervical dysplasia, carcinoma in situ and confirmed carcinoma cases is more easily ...
OBJECTIVE: Osteoporosis is a prevalent and treatable condition, but it remains underdiagnosed. In th...
Ultrafast Shape Recognition (USR), along with its derivatives, are Ligand-Based Virtual Screening (L...
BACKGROUND: We developed a system to automatically classify stance towards vaccination in Twitter me...