Latest AI and machine learning research in work force for healthcare professionals.
When the mutation affects the melanocytes of the body, a condition called melanoma results which is one of the deadliest skin cancers. Early detection of cutaneous melanoma is vital for raising the chances of survival. Melanoma can be due to inherited defective genes or due to environmental factors such as excessive sun exposure. The accuracy of the state-of-the-art computer-aided diagnosis system...
BACKGROUND AND AIMS: It is important to diagnose cerebral infarction at an early stage and select an appropriate treatment method. The number of stroke-trained physicians is unevenly distributed; thus, a shortage of specialists is a major problem in some regions. In this retrospective design study, we tested whether an artificial intelligence (AI) we built using computer-aided detection/diagnosis ...
The last few years have seen the development of numerous deep learning-based protein-ligand docking methods. They offer huge promise in terms of speed...
Although great progress has been made in the diagnostic and treatment options for dyslipidemias, unawareness, underdiagnosis and undertreatment of the...
Lagophthalmos is the incomplete closure of the eyelids posing the risk of corneal ulceration and blindness. Lagophthalmos is a common symptom of vario...
In healthcare facilities, answering the questions from the patients and their companions about the health problems is regarded as an essential task. W...
Recent advancements in generative artificial intelligence, particularly using large language models (LLMs), are gaining increased public attention. We...
Dermatological conditions impact many people globally, including those with melanin-rich skin. However, insufficient medical education contributes to ...
Ginsenoside Rg3 is reported to contribute to the traditionally known diverse effects of red ginseng extracts. Significant individual variations in the...
Nervous system has distinct anisotropy and some intrinsic biophysical properties enable neurons present various firing modes in neural activities. In ...
In this paper, we propose a deep-learning-based algorithm for screening neurological diseases. We proposed various examination protocols for screening...
PURPOSE: High volumes of chest radiographs (CXR) remain uninterpreted due to severe shortage of radiologists. These CXRs may be informally reported by...
Given the shortage of cytologists, women in low-resource regions had inequitable access to cervical cytology which plays an pivotal role in cervical c...
BACKGROUND: The widespread adoption of telehealth services necessitates accurate online department selection based on patient medical records, a task ...
The development of artificial intelligence and virtual reality technology has enabled rehabilitation service systems based on virtual scenarios to pro...
Deep learning in medical imaging has the potential to minimize the risk of diagnostic errors, reduce radiologist workload, and accelerate diagnosis. T...
Handwashing is a vital skill for maintaining health and hygiene. For individuals with intellectual and developmental disabilities (IDD), such as autis...
ChatGPT is a variant of the generative pre-trained transformer (GPT) language model that uses large amounts of text-based training data and a transfor...
This review synthesises past research into how machine and deep learning can improve the cyto- and histopathology processing pipelines for thyroid can...
BACKGROUND: Diabetes mellitus is the most challenging and fastest-growing global public health concern. Approximately 10.5% of the global adult popula...