Devices and Vaccines

Artificial intelligence to automatically identify reverse shoulder arthroplasty implant brands on postoperative radiographs including uncertainty quantification.

BACKGROUND: Identifying the brand of reverse shoulder arthroplasty (rTSA) implanted is key in the postoperative evaluation of patients, a process that can be time-consuming and prone to error. This is particularly relevant when rTSA is considered for shoulders where the implant brand is not available or accessible in the patient record. Identification of the prosthesis model by subjective assessme...

Nanomotion-based technology for rapid antibiotic susceptibility testing among adult patients admitted to a tertiary-care hospital with Gram-negative bacteraemia: a prospective, single arm, comparative diagnostic accuracy study.

OBJECTIVE: Investigate performances and turnaround time of Resistell Phenotech antibiotic susceptibility testing (AST), a device using the new nanomotion technology, compared with reference methods. METHODS: This is a prospective, observational, and comparative diagnostic accuracy study including adult patients, who signed informed consent, hospitalized at a single 1200-bed tertiary-care centre in...

Interface engineering in optoelectronic hafnium oxide-based heterojunction synaptic device for neuromorphic computing.

With the exponential growth of information data, there is an urgent demand for emerging computing architectures that integrate memory and computation,...

A systematic review of the role of wearable devices and artificial intelligence applications in assessing functional outcomes after lumbar fusion.

BACKGROUND CONTEXT: As the population ages, rates of lumbar spine disease have risen, and lumbar fusion surgeries have become more prevalent. There ha...

Real-Time Artificial Intelligence-Assisted Middle Meningeal Artery Embolization Using Liquid Embolic Agents for Chronic Subdural Hematoma: A Preliminary Experience.

BACKGROUND AND OBJECTIVES: Middle meningeal artery (MMA) embolization is an emerging treatment option for chronic subdural hematoma. Surgeons must pay...

Effectiveness of automated segmentation of maxillofacial structures in cone-beam computed tomography images using artificial intelligence: A systematic review.

BACKGROUND: The automated segmentation of maxillary and mandibular bones in cone-beam computed tomography (CBCT) using artificial intelligence (AI) is...

Transistor-like iontronics device based on MXene/Bi 2D heterojunction for human-machine intelligent interaction.

Human-machine intelligent interaction (HMII) technology, which is an advanced iteration of human-machine interaction technology, has garnered widespre...

Robust detection of femtogram-level Alzheimer's biomarkers using machine learning-enhanced graphene biosensors.

Early diagnosis of Alzheimer's disease (AD) requires blood biomarker tests sensitive to femtogram/mL concentrations. Graphene field-effect transistors...

Predicting treatment pathways in Class II malocclusion patients using machine learning: A comparative study of four algorithms for classifying camouflage, growth modulation, and surgical decisions.

OBJECTIVES: The aim of this study was to develop a machine-learning model to assist in treatment decision-making for surgery, camouflage, and growth m...

Detection and classification of medical images using deep learning for chronic kidney disease.

Chronic kidney disease (CKD) is an advancing disease which significantly impacts global healthcare, requiring early detection and prompt treatment is ...

Performance of a Novel Frameless and Maskless Robotic Head Motion Compensation System for Stereotactic Radiosurgery in a Realistic Clinical Environment with Healthy Volunteers.

PURPOSE: Stereotactic radiosurgery (SRS) is a nonsurgical method for treating brain abnormalities and small tumors. Traditional high-accuracy SRS requ...

AI-driven innovations for dental implant treatment planning: A systematic review.

PURPOSE: This systematic review evaluates the effectiveness of artificial intelligence (AI) models in dental implant treatment planning, focusing on: ...

Deep learning-based cross-device standardization of surface-enhanced Raman spectroscopy for enhanced bacterial recognition.

Surface-enhanced Raman spectroscopy (SERS) is a powerful, label-free technique for pathogen detection; however, its broader adoption in clinical diagn...

Machine learning models for predicting recurrence and malignant transformation of oral leukoplakia.

OBJECTIVE: This study aimed to evaluate machine learning models for predicting the recurrence and malignant transformation of oral leukoplakia (OL). M...

Expandable, But at What Cost? Failure Patterns in Corpectomy Cages From 373 Real-World Adverse Events.

STUDY DESIGN: Cross-sectional study. OBJECTIVE: This study aimed to analyze the failure patterns of expandable corpectomy cages. SUMMARY OF BACKGROUND...

Acceptability and feasibility of a new-generation alcohol biosensor: A mixed methods evaluation in a large community sample.

Wearable alcohol biosensors offer an innovative solution for real-time alcohol monitoring, yet concerns about comfort, privacy, and social acceptabili...

Central venous catheters tip positioning: Insights from a retrospective analysis.

BACKGROUND: Tunneled central venous catheters (tCVCs) are essential in hemodialysis when arteriovenous access is not feasible. Their correct positioni...

Assessment of ChatGPT's Performance on the ACP 2024 National Prosthodontics Resident Exam (NPRE).

PURPOSE: To evaluate the performance of ChatGPT on the National Prosthodontics Resident Exam (NPRE). METHODS: Two separate OpenAI accounts were used f...

Navigating Medical Device Safety: Current Status, Challenges, and Future Regulatory Directions.

Medical devices are indispensable in modern healthcare. They enable the prevention, diagnosis, and treatment of diseases while enhancing patient outco...

LYnet: Computational identification of tumor T cell antigens using convolutional and recurrent neural networks.

BACKGROUND: Immunotherapy represents a paradigm shift in oncology, offering advantages in efficacy and specificity over traditional therapies. Key to ...