AI Medical Compendium

Development of a Deep Learning Algorithm for Posterior Fossa Abnormality Recognition on First-Trimester US Screening Scans: AIRFRAME Study Part 1.

Radiology. Artificial intelligence Jan 21, 2026

Purpose To develop a deep learning algorithm to automatically assess the posterior fossa on first-trimester US screening scans and identify open spina bifida (OSB) and cystic posterior fossa (CPF) anomalies. Materials and Methods This is the retrospe... read more

Next-generation cancer therapies: translating experimental advances into clinical practice.

Postgraduate medical journal Jan 21, 2026

Recent advancements in cancer therapy have led to the emergence of innovative approaches that offer new hope to patients. This review provides a comprehensive overview of the latest cutting-edge technologies and strategies in cancer treatment, includ... read more

A Smartphone-Read, Machine Learning-Enhanced Lanthanide Hydrogel Sensor for Multimodal and On-Site Detection of Kanamycin in Food Safety.

Analytical chemistry Jan 21, 2026

Residual kanamycin from veterinary use poses a persistent threat to environmental safety and public health, as its accumulation in water systems and animal-derived foods can foster antibiotic resistance and induce toxic effects. To address the urgent... read more

Is ChatGPT a reliable informant? Dermatologists review AI-generated answers to frequently asked questions about melanoma.

Dermatology reports Jan 21, 2026

Dear Editor, In recent years, many individuals have turned to the Internet for health-related information, a phenomenon commonly referred to as "Dr. Google". While accessible, this practice often exposes users to unverified content, potentially leadi... read more

Real-Time Characterization of Colonic Polyps: A Multicenter Prospective Study Evaluating the CAD-EYE System in Screening Colonoscopies.

Clinical and translational gastroenterology Jan 21, 2026

BACKGROUND AND STUDY AIMS: Polypectomy-related costs could potentially be reduced through optical diagnosis strategies, such as 'diagnose-and-leave' and 'resect-and-discard.' Artificial intelligence, using computer-aided diagnosis (CAD), may provide ... read more

Strategic Screening of Dopants for Na0.67Ni0.33Mn0.67O2 Cathodes: A Computational Roadmap for Sodium-Ion Battery Innovation.

Small (Weinheim an der Bergstrasse, Germany) Jan 21, 2026

P2-type cobalt-free Na0.67Ni0.33Mn0.67O2 (NNMO) compound has attracted significant attention as a cathode material for sodium-ion batteries, due to its relatively high energy density. Recent experimental investigations on doped NNMO cathodes have dem... read more

Evolving strategies may facilitate oral pathology and cancer surveillance, monitoring, and detection for patients at risk.

Journal of the American Dental Association (1939) Jan 21, 2026

BACKGROUND: Oral cancers account for considerable morbidity and mortality worldwide, and their incidence has increased in the past several years, despite growing awareness and screening and preventive efforts advocated in articles and guidelines. Vis... read more

Multi-omics integrative analysis of stemness-associated pathological signatures to guide prognosis and therapeutic strategies in uveal melanoma.

International journal of surgery (London, England) Jan 21, 2026

BACKGROUND: Uveal melanoma (UVM) is the most common intraocular malignancy in adults and exhibits poor prognosis upon metastasis. Stemness, a hallmark of cancer aggressiveness, remains understudied in UVM, especially in relation to pathology-derived ... read more

A critical methodological consideration in machine learning for predicting gallbladder cancer metastasis.

International journal of surgery (London, England) Jan 21, 2026

Clinical and economic impact of deep learning-enhanced opportunistic osteoporosis screening using chest radiographs with and without the osteoporosis self-assessment tool for Asians (OSTA).

Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA Jan 21, 2026

UNLABELLED: Opportunistic analysis of chest radiographs with deep learning detects osteoporosis cost-effectively in women aged ≥ 50 years in Singapore. Adding OSTA marginally improves efficiency, but DL "deep learning" screening alone already reduces... read more

Artificial Intelligence Medical Compendium