Evaluation of artificial intelligence techniques in disease diagnosis and prediction
A broad range of medical diagnoses is based on analyzing disease images obtained
through high-tech digital devices. The application of artificial intelligence (AI) in the …
through high-tech digital devices. The application of artificial intelligence (AI) in the …
Large language models in health care: Development, applications, and challenges
Recently, the emergence of ChatGPT, an artificial intelligence chatbot developed by OpenAI,
has attracted significant attention due to its exceptional language comprehension and …
has attracted significant attention due to its exceptional language comprehension and …
[HTML][HTML] The potential of ChatGPT as a self-diagnostic tool in common orthopedic diseases: exploratory study
Background Artificial intelligence (AI) has gained tremendous popularity recently, especially
the use of natural language processing (NLP). ChatGPT is a state-of-the-art chatbot capable …
the use of natural language processing (NLP). ChatGPT is a state-of-the-art chatbot capable …
[HTML][HTML] A review of deep learning in dentistry
Oral diseases have a significant impact on human health, often going unnoticed in their
early stages. Deep learning, a promising field in artificial intelligence, has shown remarkable …
early stages. Deep learning, a promising field in artificial intelligence, has shown remarkable …
[PDF][PDF] Natural language processing (NLP) in the extraction of clinical information from electronic health records (EHRs) for cancer prognosis
Abstracts: NLP has become an important tool in healthcare, particularly in extracting clinical
information from EHRs in order to help enhance cancer prognosis. EHRs store vast amounts …
information from EHRs in order to help enhance cancer prognosis. EHRs store vast amounts …
Diversity, equity, and inclusivity in observational ambulatory assessment: Recommendations from two decades of Electronically Activated Recorder (EAR) research
Ambient audio sampling methods such as the Electronically Activated Recorder (EAR) have
become increasingly prominent in clinical and social sciences research. These methods …
become increasingly prominent in clinical and social sciences research. These methods …
From Machine Learning to Patient Outcomes: A Comprehensive Review of AI in Pancreatic Cancer
Pancreatic cancer is a highly aggressive and difficult-to-detect cancer with a poor prognosis.
Late diagnosis is common due to a lack of early symptoms, specific markers, and the …
Late diagnosis is common due to a lack of early symptoms, specific markers, and the …
Recent advances in artificial intelligence applications for supportive and palliative care in cancer patients
V Reddy, A Nafees, S Raman - Current Opinion in Supportive and …, 2023 - journals.lww.com
This literature review indicates that AI tools can be used to support SPC clinicians in
decision-making and reduce manual workload, leading to potentially improved care and …
decision-making and reduce manual workload, leading to potentially improved care and …
[HTML][HTML] Applications of Large Language Models in the Field of Suicide Prevention: Sco** Review
Background Prevention of suicide is a global health priority. Approximately 800,000
individuals die by suicide yearly, and for every suicide death, there are another 20 estimated …
individuals die by suicide yearly, and for every suicide death, there are another 20 estimated …
OptimCLM: Optimizing clinical language models for predicting patient outcomes via knowledge distillation, pruning and quantization
Abstract Background Clinical Language Models (CLMs) possess the potential to reform
traditional healthcare systems by aiding in clinical decision making and optimal resource …
traditional healthcare systems by aiding in clinical decision making and optimal resource …