Akademik Veri Yönetim Sistemi
3rd International Health Science and Life Congress, Burdur, Türkiye, 4 - 06 Mayıs 2020, ss.362, (Özet Bildiri)
Significant progress has been made in medical artificial intelligence (AI) in
previous ten years. The applications of AI, machine learning (ML) and Deep Learning (DL)
have gained attention and explored. Helicobacter pylori (HP) infection is globally spread in
the human population and may lead to severe gastrointestinal pathology including gastric and
duodenal ulcers, MALT (mucosa associated tissue lymphoma) and gastric adenocarcinoma.
Diagnosis of HP infection determines the patients at higher risk and eradication therapy
results in decrease in morbidity, including development of gastric cancer. This review
overviews rapid HP diagnosis and applications using AI. Computer-aided diagnosis is a
progressing area using images and ML to help in diagnosis. Recent advances developed DL to
analyze images resulting automation diagnosis. For a better prediction of the HP infection
status according to endoscopic results, prediction models have been made for AI. AI is also
anticipated to solve clinical problems that are hard to accomplish with current image
technology and may be a decision-support tool. Advances in microbiology provide new tools
such as AI in gene sequencing, artificial immune recognition system, wearable systems,
expert systems, electronic noses, pattern recognition, clinical decision support. Applications
of ML in microbiology are MALDITOF-MS, molecular diagnosis and identification,
antimicrobial resistance, Point-of-Care, panel-PCR, metagenomics, digital plate reading. This
review focuses on advances in HP diagnosis by AI which is very promising. Although there
is enormous potential of AI, there are still some topics that need to be studied to fully use the
capacity of AI in HP diagnosis.