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Topic Review
Artificial Intelligence in the Diagnosis of Oral Diseases
Today, artificial intelligence (AI) has been suggested useful in disease diagnosis, predicting prognosis, or developing patient-specific treatment strategies. Particularly, AI can assist dentists in making time-sensitive critical decisions. It can remove the human element of error in decision-making, providing a superior and uniform quality of health care while reducing the stress load on the dentists.
  • 715
  • 13 May 2022
Topic Review
Artificial Intelligence in the Intensive Care Unit
The development of artificial intelligence (AI) allows for the construction of technologies capable of implementing functions that represent the human mind, senses, and problem-solving skills, leading to automation, rapid data analysis, and acceleration of tasks. These solutions has been initially implemented in medical fields relying on image analysis; however, technological development and interdisciplinary collaboration allows for the introduction of AI-based enhancements to further medical specialties. During the COVID-19 pandemic, novel technologies established on big data analysis experienced a rapid expansion. Yet, despite the possibilities of advancements with these AI technologies, there are number of shortcomings that need to be resolved to assert the highest and the safest level of performance, especially in the setting of the intensive care unit (ICU). Within the ICU, numerous factors and data affect clinical decision making and work management that could be managed by AI-based technologies. Early detection of a patient’s deterioration, identification of unknown prognostic parameters, or even improvement of work organization are a few of many areas where patients and medical personnel can benefit from solutions developed with AI.
  • 320
  • 05 Jun 2023
Topic Review
Artificial Intelligence in the Management of Hepatocellular Carcinoma
Artificial Intelligence (AI) can be a useful tool in the management of disease processes such as hepatocellular carcinoma (HCC) as treatment decisions are often complex and multifaceted. AI applications in medicine are expanding with the ongoing advances in AI including more sophisticated machine learning and deep learning processes.
  • 205
  • 25 Jan 2024
Topic Review
Artificial Intelligence in Translational Medicine
Between preclinical and clinical research, translational research is benefitting from computer-based approaches like Artificial Intelligence, resulting in breakthroughs for advancing human health. 
  • 1.0K
  • 17 Dec 2021
Topic Review
Artificial Intelligence Integration in Medical Imaging
Radiology, since its inception, has experienced a revolutionary journey, punctuating modern medicine with its profound influence. From the discovery of X-rays to the subsequent integration of artificial intelligence (AI) and machine learning (ML), this multifaceted discipline continually evolves, transforming itself and the healthcare ecosystem it underpins.
  • 646
  • 30 Aug 2023
Topic Review
Artificial Intelligence into Clinical Practice
Artificial intelligence has revolutionized the field of medicine and healthcare by providing innovative solutions to complex problems. One of the most important benefits of AI in clinical practice is its ability to investigate extensive volumes of data with efficiency and precision. This has led to the development of various applications that have improved patient outcomes and reduced the workload of healthcare professionals. AI can support doctors in making more accurate diagnoses and developing personalized treatment plans. 
  • 200
  • 10 Jan 2024
Topic Review
Artificial Intelligence Methods for Spinal Metastasis Imaging
Spinal metastasis is the most common malignant disease of the spine, and its early diagnosis and treatment is important to prevent complications and improve quality of life. The main clinical applications of AI techniques include image processing, diagnosis, decision support, treatment assistance and prognostic outcomes. In the realm of spinal oncology, artificial intelligence technologies have achieved relatively good performance and hold immense potential to aid clinicians, including enhancing work efficiency and reducing adverse events. 
  • 541
  • 29 Sep 2022
Topic Review
Artificial Intelligence Techniques in Medicine
Machine learning (ML), artificial neural networks (ANNs), and deep learning (DL) are all topics that fall under the heading of artificial intelligence (AI). ML involves the application of algorithms to automate decision-making processes using models that have not been manually programmed but have been trained on data. ANNs that are a part of ML aim to simulate the structure and function of the human brain. DL, on the other hand, uses multiple layers of interconnected neurons. This enables the processing and analysis of large and complex databases. In medicine, these techniques are being introduced to improve the speed and efficiency of disease diagnosis and treatment. 
  • 210
  • 10 Aug 2023
Topic Review
Artificial Intelligence-Assisted Discrimination of Oral Cancerous Lesions
Early detection of oral cancer is important to increase the survival rate and reduce morbidity. For the past few years, the early detection of oral cancer using artificial intelligence (AI) technology based on autofluorescence imaging, photographic imaging, and optical coherence tomography imaging has been an important research area. 
  • 383
  • 01 Aug 2022
Topic Review
Artificial-Intelligence-Based Clinical Decision Support Systems in Primary Care
Primary care stands as a cornerstone in healthcare, serving as the first point of contact and managing the most significant number of patients in the United States and worldwide. AI can mimic human reasoning and behavior and handle the increasing volume of medical data within healthcare systems. Machine learning (ML) is the most common AI technique used.
  • 276
  • 27 Mar 2024
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