[HTML][HTML] Role of artificial intelligence in the diagnosis and treatment of diseases

M Rezaei, E Rahmani, SJ Khouzani, M Rahmannia… - Kindle, 2023 - preferpub.org
Artificial intelligence (AI) is rapidly transforming healthcare, and one of its most promising
applications is in the diagnosis and treatment of diseases. AI algorithms can analyze vast …

Artificial intelligence in digital pathology: a systematic review and meta-analysis of diagnostic test accuracy

C McGenity, EL Clarke, C Jennings, G Matthews… - npj Digital …, 2024 - nature.com
Ensuring diagnostic performance of artificial intelligence (AI) before introduction into clinical
practice is essential. Growing numbers of studies using AI for digital pathology have been …

The Use of Artificial Intelligence in the Liver Histopathology Field: A Systematic Review

F Grignaffini, F Barbuto, M Troiano, L Piazzo… - Diagnostics, 2024 - mdpi.com
Digital pathology (DP) has begun to play a key role in the evaluation of liver specimens.
Recent studies have shown that a workflow that combines DP and artificial intelligence (AI) …

Hybrid quantum image classification and federated learning for hepatic steatosis diagnosis

L Lusnig, A Sagingalieva, M Surmach, T Protasevich… - Diagnostics, 2024 - mdpi.com
In the realm of liver transplantation, accurately determining hepatic steatosis levels is crucial.
Recognizing the essential need for improved diagnostic precision, particularly for optimizing …

Improving HCC Prognostic Models after Liver Resection by AI-Extracted Tissue Fiber Framework Analytics

R Stulpinas, M Morkunas, A Rasmusson, J Drachneris… - Cancers, 2023 - mdpi.com
Simple Summary Prognosis of patients after surgical resection for hepatocellular carcinoma
(HCC) is often obscured by the variable impact of the tumor and remaining liver properties …

Deep learning classification and quantification of pejorative and non-pejorative architectures in resected hepatocellular carcinoma from digital histopathological …

A Laurent-Bellue, A Sadraoui, L Claude… - The American Journal of …, 2024 - Elsevier
Abstract (220 words) Liver resection is one of the best treatments for small hepatocellular
carcinoma, but post-resection recurrence is frequent. Biotherapies have emerged as an …

Prognostic Factors after Hepatectomy for Hepatocellular Carcinoma—The Importance of Pathological Immunophenotyping, the Steatohepatitic Subtype and the Impact …

L Viana, RC Oliveira, R Martins, H Alexandrino… - Gastrointestinal …, 2024 - mdpi.com
Introduction: Hepatectomy (HP) is, along with liver transplantation, the only potentially
curative treatment for Hepatocellular Carcinoma (HCC). The high prevalence of Metabolic …

Liver-Quant: Feature-Based Image Analysis Toolkit for Automatic Quantification of Metabolic Dysfunction-Associated Steatotic Liver Disease

M Farzi, C McGenity, A Cratchley, L Leplat… - medRxiv, 2024 - medrxiv.org
Introduction: The histological assessment of liver biopsies by pathologists serves as the gold
standard for diagnosing metabolic dysfunction-associated steatotic liver disease (MASLD) …

Diagnostic test accuracy (DTA) of artificial intelligence in digital pathology: a systematic review, meta-analysis and quality assessment

C McGenity, E Clarke, C Jennings, G Matthews… - arXiv preprint arXiv …, 2023 - arxiv.org
Ensuring diagnostic performance of AI models before clinical use is key to the safe and
successful adoption of these technologies. Studies reporting AI applied to digital pathology …

Analyzing Hepatotoxicity of Marine Venoms Using Artificial Intelligence: An Ecoinformatics Perspective

H Wahsheh, M Wahsha, T Al-Najjar… - … Arab Conference on …, 2023 - ieeexplore.ieee.org
Marine toxins present considerable challenges to public health due to their intricate
biochemical profiles that complicate effectual analysis. In addressing this, our study utilizes a …