SERS‐Based Biosensors Combined with Machine Learning for Medical Application**

Y Ding, Y Sun, C Liu, QY Jiang, F Chen… - ChemistryOpen, 2023 - Wiley Online Library
Surface‐enhanced Raman spectroscopy (SERS) has shown strength in non‐invasive, rapid,
trace analysis and has been used in many fields in medicine. Machine learning (ML) is an …

Artificial intelligence in veterinary diagnostic imaging: A literature review

E Hennessey, M DiFazio… - Veterinary Radiology …, 2022 - Wiley Online Library
Artificial intelligence in veterinary medicine is an emerging field. Machine learning, a
subfield of artificial intelligence, allows computer programs to analyze large imaging …

Artificial intelligence and public health: an exploratory study

D Jungwirth, D Haluza - … Journal of Environmental Research and Public …, 2023 - mdpi.com
Artificial intelligence (AI) has the potential to revolutionize research by automating data
analysis, generating new insights, and supporting the discovery of new knowledge. The top …

[HTML][HTML] Artificial intelligence in public health: current trends and future possibilities

D Giansanti - International Journal of Environmental Research and …, 2022 - mdpi.com
3. It must behave (act and think) in a rational way: the method that leads the intelligent
system to solve a problem is a formal structured process following the logic. 4. It must obtain …

Therapeutic peptide development revolutionized: Harnessing the power of artificial intelligence for drug discovery

S Hashemi, P Vosough, S Taghizadeh… - Heliyon, 2024 - cell.com
Due to the spread of antibiotic resistance, global attention is focused on its inhibition and the
expansion of effective medicinal compounds. The novel functional properties of peptides …

Neuroimaging and artificial intelligence for assessment of chronic painful temporomandibular disorders—a comprehensive review

M Shrivastava, L Ye - International journal of oral science, 2023 - nature.com
Abstract Chronic Painful Temporomandibular Disorders (TMD) are challenging to diagnose
and manage due to their complexity and lack of understanding of brain mechanism. In the …

[HTML][HTML] Artificial intelligence (AI) meets biomaterials and biomedicine

S Han, J Wu - Smart Materials in Medicine, 2024 - Elsevier
With the rapid progress of information technology and life sciences, artificial intelligence (AI)
technology has substantially changed the way in many areas of biomaterials and …

Investigation of nurses' general attitudes toward artificial intelligence and their perceptions of ChatGPT usage and influencing factors

GZ Tuncer, M Tuncer - Digital Health, 2024 - journals.sagepub.com
Purpose This study aimed to investigate professional nurses' general attitudes toward
artificial intelligence, their knowledge and perceptions of ChatGPT usage, and the …

Development of an AI-driven system for neurosurgery with a usability study: a step towards minimal invasive robotics

RA Zeineldin, D Junger, F Mathis-Ullrich… - at …, 2023 - degruyter.com
Recent advances in artificial intelligence have enabled promising applications in
neurosurgery that can enhance patient outcomes and minimize risks. This paper presents a …

Decipherable for artificial intelligence in medicare: A review

A Raj, A Kumar, V Sharma, S Rani… - 2023 4th …, 2023 - ieeexplore.ieee.org
The major research areas in the field of artificial intelligence is categorized into three parts.
The first areas are related to explainability of AI, the second area is related to applications of …