Artificial intelligence in assisting pathogenic microorganism diagnosis and treatment: a review of infectious skin diseases.

The skin, the largest organ of the human body, covers the body surface and serves as a crucial barrier for maintaining internal environmental stability. Various microorganisms such as bacteria, fungi, and viruses reside on the skin surface, and densely arranged keratinocytes exhibit inhibitory effects on pathogenic microorganisms. The skin is an essential barrier against pathogenic microbial infections, many of which manifest as skin lesions. Therefore, the rapid diagnosis of related skin lesions is of utmost importance for early treatment and intervention of infectious diseases. With the continuous rapid development of artificial intelligence, significant progress has been made in healthcare, transforming healthcare services, disease diagnosis, and management, including a significant impact in the field of dermatology. In this review, we provide a detailed overview of the application of artificial intelligence in skin and sexually transmitted diseases caused by pathogenic microorganisms, including auxiliary diagnosis, treatment decisions, and analysis and prediction of epidemiological characteristics.

Effects of Different Durations and Frequencies of Vestibular Rehabilitation in Patients With Residual Symptoms After Benign Paroxysmal Positional Vertigo Repositioning.

OBJECTIVES: This study aimed to explore the effects of different duration and daily frequency of vestibular rehabilitation (VR) in patients with residual symptoms after benign paroxysmal positional vertigo (BPPV) successful repositioning. METHOD: Patients with successful BPPV repositioning (n = 118) were divided into 3 groups according to VR duration and frequency: group A (n = 30; 15 minutes, 3 times/day), group B (n = 30; 30 minutes, 3 times/day), group C (n = 28; 15 minutes, 6 times/day), and control group D (n = 30; no VR). All patients completed the dizziness handicap inventory (DHI) and vestibular rehabilitation benefit questionnaire (VRBQ) at baseline and after 2 and 4 weeks. RESULTS: The emotional scores and the proportion of severe dizziness disability in the DHI scores were significant differences between VR groups A to C and control group D after 2 and 4 weeks (all P < .05). There were significant differences in total DHI and VRBQ scores among the VR groups A to C after 2 and 4 weeks (all P < .05). Interestingly, emotion scores were not significantly different in group A (P = .385), group B (P = .569), and group C (P = .340) between 2 and 4 weeks. Meanwhile at 2 weeks, the difference in motion-provoked dizziness score between group A and B was statistically significant (P = .02). CONCLUSIONS: A total VR duration over 4 weeks can reduce dizziness and improve VR benefits in routine therapy in patients with residual dizziness after successful BPPV repositioning. Emotional improvement can be observed after 2 weeks. VR may help to relieve motion-provoked dizziness earlier if patients are willing to consider increasing the duration to more than 15 minutes.

A case-control study of microRNA polymorphisms in gastric cancer screening by SNP chip combined with time of flight mass spectrometry.

Aims: To explore new SNP sites of miRNAs associated with gastric cancer, thereby providing valuable biomarkers to diagnose and screen gastric cancer. Materials & methods: A 1:1 case-control study was carried out. Microarrays were used to screen the SNP loci of miRNAs in the genomes of matched pairs of patients, 96 with gastric cancer and 96 healthy controls. For validation, mass spectrometry was used to classify miRNA SNP loci in 622 pairs of subjects. Results: rs7143252 was linked to a higher occurrence of gastric cancer. Conclusion: These results suggest that rs7143252 could be used as a specific biomarker to diagnose and screen gastric cancer.