Advancements in AI based healthcare techniques with FOCUS ON diagnostic techniques

N Kalra, P Verma, S Verma - Computers in Biology and Medicine, 2024 - Elsevier
Since the past decade, the interest towards more precise and efficient healthcare techniques
with special emphasis on diagnostic techniques has increased. Artificial Intelligence has …

A scoping review of using large language models (llms) to investigate electronic health records (ehrs)

L Li, J Zhou, Z Gao, W Hua, L Fan, H Yu… - arXiv preprint arXiv …, 2024 - arxiv.org
Electronic Health Records (EHRs) play an important role in the healthcare system. However,
their complexity and vast volume pose significant challenges to data interpretation and …

[HTML][HTML] A comprehensive evaluation of large language models on benchmark biomedical text processing tasks

I Jahan, MTR Laskar, C Peng, JX Huang - Computers in biology and …, 2024 - Elsevier
Abstract Recently, Large Language Models (LLMs) have demonstrated impressive
capability to solve a wide range of tasks. However, despite their success across various …

The role of artificial intelligence in improving patient outcomes and future of healthcare delivery in cardiology: a narrative review of the literature

D Gala, H Behl, M Shah, AN Makaryus - Healthcare, 2024 - mdpi.com
Cardiovascular diseases exert a significant burden on the healthcare system worldwide.
This narrative literature review discusses the role of artificial intelligence (AI) in the field of …

TA-RNN: An attention-based time-aware recurrent neural network architecture for electronic health records

M Al Olaimat, S Bozdag… - …, 2024 - academic.oup.com
Abstract Motivation Electronic health records (EHRs) represent a comprehensive resource of
a patient's medical history. EHRs are essential for utilizing advanced technologies such as …

Artificial Intelligence-based Suicide Prevention and Prediction: A Systematic Review (2019-2023)

A Atmakuru, A Shahini, S Chakraborty, S Seoni… - Information …, 2024 - Elsevier
Suicide is a major global public health concern, and the application of artificial intelligence
(AI) methods, such as natural language processing (NLP), machine learning (ML), and deep …

[PDF][PDF] Natural Language Processing (NLP) in the Extraction of Clinical Information from Electronic Health Records (EHRs) for Cancer Prognosis

P Thatoi, R Choudhary, A Shiwlani… - International …, 2023 - researchgate.net
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 …

[HTML][HTML] Artificial Intelligence in Head and Neck Cancer: Innovations, Applications, and Future Directions

TD Pham, MT Teh, D Chatzopoulou, S Holmes… - Current …, 2024 - mdpi.com
Artificial intelligence (AI) is revolutionizing head and neck cancer (HNC) care by providing
innovative tools that enhance diagnostic accuracy and personalize treatment strategies. This …

Diabetes prediction using Shapley additive explanations and DSaaS over machine learning classifiers: a novel healthcare paradigm

P Guleria, PN Srinivasu, M Hassaballah - Multimedia Tools and …, 2024 - Springer
Technologies like cloud computing, Artificial Intelligence (AI), and Machine intelligence
technologies must combine to accomplish computational intelligence. To deliberate the …

Artificial intelligence: a new field of knowledge for nephrologists?

L Fayos De Arizón, ER Viera, M Pilco… - Clinical Kidney …, 2023 - academic.oup.com
Artificial intelligence (AI) is a science that involves creating machines that can imitate human
intelligence and learn. AI is ubiquitous in our daily lives, from search engines like Google to …