AI Medical Compendium

Predicting endoscopic third ventriculostomy with choroid plexus cauterization success with machine learning: the importance of ventricle size and the irrelevance of etiology.

Journal of neurosurgery. Pediatrics May 8, 2026

OBJECTIVE: Endoscopic third ventriculostomy with choroid plexus cauterization (ETV/CPC) has decreased rates of shunt dependence in infants with hydrocephalus. The ETV Success Score (ETVSS) is the standard for predicting the 6-month success rate for E... read more

Age-related differences in surgical outcomes for traumatic central cord syndrome: a multi-institutional causal machine learning analysis.

Journal of neurosurgery. Spine May 8, 2026

OBJECTIVE: Traumatic central cord syndrome (TCCS) is the most common incomplete spinal cord injury, yet the optimal management strategy remains controversial, particularly for older adults who often present with worse outcomes. The authors aimed to d... read more

Principle-based multiphysics simulation for 3D bioprinting systems: modelling inkjet, extrusion, and DLP processes.

Biofabrication May 8, 2026

Among additive manufacturing (AM), 3D inkjet technology, materials extrusion (ME), and digital light processing (DLP), which are from dot and line to face printing, have been extensively investigated for biological and pharmaceutical applications. Th... read more

Oral squamous cell carcinoma diagnosis with time and frequency domain features from optical coherence tomography A-scan signals.

Biomedical physics & engineering express May 8, 2026

Optical coherence tomography (OCT) is extremely useful in the screening and detection of oral cancers. But various challenges, such as its subjectivity, operator dependence in interpretation, and lack of quantitative outcomes, have been delaying its ... read more

ScatterFusionNet: physics-informed deep scatter correction for dual-detector CT using Klein-Nishina prior.

Physics in medicine and biology May 8, 2026

Scatter artifacts degrade cone-beam CT image quality, yet acquiring ground-truth scatter-free data in clinical settings requires time-consuming measurements. Purely data-driven deep learning methods exhibit limited generalization across anatomical re... read more

Musculoskeletal Interventions: The Past, Present, and Future.

Seminars in musculoskeletal radiology May 8, 2026

Musculoskeletal radiology has transitioned to "musculoskeletal imaging and intervention," encompassing both traditional diagnostic roles and specialized interventional roles shared with our interventional radiology colleagues. As part of the 30th yea... read more

Generative chromoendoscopy for gastric neoplasms: A multicenter prospective study.

Endoscopy May 8, 2026

BACKGROUND AND STUDY AIMS: Generative indigo carmine chromoendoscopy (generative chromoendoscopy), produced using deep learning-based synthetic image transformation, is a novel image-enhanced endoscopic approach whose clinical feasibility has not bee... read more

OCT-based AI-assisted phenotyping of intermediate AMD in the prospective PINNACLE trial: PINNACLE Study Report 9.

The British journal of ophthalmology May 8, 2026

BACKGROUND/AIMS: PINNACLE is one of the largest prospective multicentre observational studies evaluating the progression of intermediate age-related macular degeneration (iAMD). This paper aims to provide an optical coherence tomography (OCT)-based q... read more

Seeing the unseen: AI radiomics unmasking occult pancreatic cancer?

Gut May 8, 2026

Automatic Classification of Functional Dysphonia Using Voc2Vec Speech Representations.

Journal of voice : official journal of the Voice Foundation May 8, 2026

OBJECTIVE: This study aims to develop a machine learning-based automatic classification framework for functional dysphonia using speech representations derived from a pre-trained Voc2Vec model. The proposed system targets three classes: healthy, hype... read more

Artificial Intelligence Medical Compendium