Prediction of pulp exposure before caries excavation using artificial intelligence: Deep learning-based image data versus standard dental radiographs.

OBJECTIVES: The objective was to examine the effect of giving Artificial Intelligence (AI)-based radiographic information versus standard radiographic and clinical information to dental students on their pulp exposure prediction ability. METHODS: 292 preoperative bitewing radiographs from patients previously treated were used. A multi-path neural network was implemented. The first path was a convolutional neural network (CNN) based on ResNet-50 architecture. The second path was a neural network trained on the distance between the pulp and lesion extracted from X-ray segmentations. Both paths merged and were followed by fully connected layers that predicted the probability of pulp exposure. A trial concerning the prediction of pulp exposure based on radiographic input and information on age and pain was conducted, involving 25 dental students. The data displayed was divided into 4 groups (G): GX-ray, GX-ray+clinical data, GX-ray+AI, GX-ray+clinical data+AI. RESULTS: The results showed that AI surpassed the performance of students in all groups with an F1-score of 0.71 (P < 0.001). The students' F1-score in GX-ray+AI and GX-ray+clinical data+AI with model prediction (0.61 and 0.61 respectively) was slightly higher than the F1-score in GX-ray and GX-ray+clinical data (0.58 and 0.59 respectively) with a borderline statistical significance of P = 0.054. CONCLUSIONS: Although the AI model had much better performance than all groups, the participants when given AI prediction, benefited only 'slightly'. AI technology seems promising, but more explainable AI predictions along with a 'learning curve' are warranted.

Vaccine preparation by radiation processing.

A new radiation biotechnology for the acquirement of a commercial vaccine, designed for prophylaxis of ruminant infectious pododermatitis (IP), produced by gram negative bacteria Fusobacterium necrophorum (F.n.), is presented. Two different processes for preparing F.n. vaccine are used: a) the inactivation of F.n. bacteria exotoxins by microwave (MW) or/and electron beams (EB) irradiation; b) the isolation of exotoxins from F.n. cultures irradiated with MW or/and EB and the inactivation of isolated F.n. exotoxins with formalin. The EB irradiation of F.n. cultures produced simultaneously with the cells viability decrease an increasing of exotoxin quantity released in the culture supranatant as compared with classical methods. The MW irradiation is able to reduce the cells viability to zero but without an increase of exotoxin quantity in cultures supranatant. Instead of this MW irradiation, for certain conditions, is able to induce an important stimulation degree of the F.n. proliferation in cultures, from two to three log10. Two vaccine types were prepared: A1 vaccine that contains whole cell culture irradiated with MW/EB and A2 vaccine that contains cell-free culture supernatant of an MW/EB irradiated F.n. strain producing exotoxins. Also, other two vaccines are prepared: B1 and B2 that contain the same materials as A1 and A2 respectively, but without using MW/EB exposure. The vaccine efficiency is tested in ruminant farms in which IP evolves. It is expected that this new vaccine to offer a better protection, more than 60%, which is the best presently obtained result in ruminant farms.