Latest AI and machine learning research in primary care for healthcare professionals.
Individual instances of nonadherence to reduced calorie dietary prescriptions, that is, dietary lapses, represent a key challenge for weight management. Just-in-time adaptive interventions (JITAIs), which collect and analyze data in real time to deliver tailored interventions during moments of need, may be well suited to promote weight loss by preventing dietary lapses. We developed OnTrack (OT), ...
Medical artificial intelligence (AI) promotes technological revolution and industrial transformation in the medical field, and the medical level of orbital disease will also be improved with the in-depth development of AI diagnosis and treatment. The problems should be solved in the orbital disease AI research at the initial stage include: the complex knowledge system of orbital disease requires c...
We investigated the prevalence and the most relevant features of nonalcoholic steatohepatitis (NASH), a stage of nonalcoholic fatty liver disease, (N...
Hypertension is persistent elevation in blood pressure for 3-4 weeks. Estimated global prevalence of hypertension suggested that by the Year 2025 (29%...
Hurricane Bob passed over the New England region in August 1991, causing significant damage to life, property, and the environment, making it one of t...
Alzheimer's disease (AD) is a typical neurodegenerative disease, which is clinically manifested as amnesia, loss of language ability and self-care abi...
Radiology reports contain a large amount of potentially valuable unstructured data. Recently, neural networks have been employed to perform classifica...
PURPOSE: The influence of preceding load and future perceived wellness of professional soccer players is unexamined. This paper simultaneously evaluat...
Recent advances in artificial intelligence (AI) are providing an opportunity to enhance existing clinical decision support (CDS) tools to improve pati...
The main objective of this research is to investigate a new fractional mathematical model involving a nonsingular derivative operator to discuss the c...
Historically, the practice of medicine has been a physically intimate endeavor. Physicians have used their hands to palpate and reveal the secrets hid...
NimbleMiner is a word embedding-based, language-agnostic natural language processing system for clinical text classification. Previously, NimbleMiner ...
In the 5P medicine (Personalized, Preventive, Participative, Predictive and Pluri-expert), the general trend is to process data by displacing the bary...
PURPOSE: Quantifying the risk of cancer associated with pathogenic mutations in germline cancer susceptibility genes-that is, penetrance-enables the p...
Currently, the development of medicines for complex diseases requires the development of combination drug therapies. It is necessary because in many c...
Use of artificial intelligence in medicine in an evolving technology which holds promise for mass screening and perhaps may even help in establishing ...
Glaucoma is the second leading cause of blindness worldwide. This paper proposes an automated glaucoma screening method using retinal fundus images vi...
Sleep apnea is a common chronic respiratory disorder which occurs due to the repetitive complete or partial cessations of breathing during sleep. The ...
Nowadays human activity recognition (HAR) plays an crucial role in the healthcare and wellness domains, for example, HAR contributes to context-aware ...