From test-taking to test-building: Using artificial intelligence to strengthen board examination preparation

No abstractAnn Pediatr Cardiol. 2026 Sep-Oct;19(5):616. doi: 10.4103/apc.apc_159_26. Epub 2026 Sep 8.NO ABSTRACTPMID:42819696 | PMC:PMC13626628 | DOI:10.4103/apc.apc_159_26

Authors, reviewers, editors smitten and bitten by the artificial intelligence (AI) bug!

No abstractIndian J Anaesth. 2026 Sep;70(9):981-984. doi: 10.4103/ija.ija_1374_26. Epub 2026 Sep 17.NO ABSTRACTPMID:42819627 | PMC:PMC13626495 | DOI:10.4103/ija.ija_1374_26

The relative importance of neighborhood environment features in explaining preeclampsia risk using machine learning

Pregnancy (Hoboken). 2026 Sep 29;2(6):e70347. doi: 10.1002/pmf2.70347. eCollection 2026 Nov.ABSTRACTINTRODUCTION: Disentangling the role of the neighborhood environment in preeclampsia pathogenesis is crucial for addressing social and structural determinants of pregnancy health. Building on epidemio

The Verification Gap: Artificial Intelligence Adoption, Hallucination Awareness, and Verification Practices Among Medical Trainees and Professionals in Pakistan

Cureus. 2026 Sep 30;18(9):e117238. doi: 10.7759/cureus.117238. eCollection 2026 Sep.ABSTRACTBackground Artificial intelligence (AI) tools have been rapidly adopted by medical researchers, yet whether medical trainees and professionals in low- and middle-income countries possess the awareness and hab

Ethical readiness and trust in artificial intelligence-assisted anaesthesia: A cross-sectional survey study among anaesthesia professionals in India

Indian J Anaesth. 2026 Sep;70(9):1019-1025. doi: 10.4103/ija.ija_106_26. Epub 2026 Sep 17.ABSTRACTBACKGROUND AND AIMS: Perioperative anaesthesia is progressively integrating decision support systems based on artificial intelligence (AI). Safe AI use requires not only technical validation but also et

Ferroptosis in retinal neurodegeneration: mechanistic vulnerability, therapeutic targeting, and translational barriers

Front Med (Lausanne). 2026 Sep 16;13:1890483. doi: 10.3389/fmed.2026.1890483. eCollection 2026.ABSTRACTProgressive retinal neurodegeneration remains a major therapeutic challenge in ophthalmology because structural and functional loss may continue despite control of the primary insult, including int

Artificial intelligence for white matter hyperintensity segmentation: performance, determinants, and clinical implications

Front Aging Neurosci. 2026 Sep 16;18:1930675. doi: 10.3389/fnagi.2026.1930675. eCollection 2026.ABSTRACTOBJECTIVE: White matter hyperintensities (WMH) are key neuroimaging markers of cerebral small vessel disease, associated with cognitive decline and stroke risk. Accurate quantification is essentia

Imago Hominis: Artificial Intelligence as Moral Mirror and the Recovery of Creator Responsibility

Linacre Q. 2026 Sep 29:00243639261487904. doi: 10.1177/00243639261487904. Online ahead of print.ABSTRACTThe growing literature on artificial intelligence (AI) and the imago Dei has focused primarily on whether AI systems can or might share in the image of God, asking whether machines possess propert

Chimeric antigen receptor T-cell therapy in neuroimmune diseases: mechanistic rationale, clinical experience, and translational challenges

Front Immunol. 2026 Sep 16;17:1913956. doi: 10.3389/fimmu.2026.1913956. eCollection 2026.ABSTRACTNeuroimmune diseases comprise a heterogeneous group of disorders in which B cells, plasmablasts, plasma cells, autoantibodies, and T cells contribute differently to tissue injury. Although B-cell-directe

Artificial Intelligence in the Management of Facial Palsy: A Narrative Review Across the Care Continuum

Plast Surg (Oakv). 2026 Sep 29:22925503261490552. doi: 10.1177/22925503261490552. Online ahead of print.ABSTRACTINTRODUCTION: Facial paralysis produces substantial functional and psychosocial impairment which facial reanimation surgery seeks to mitigate by restoring facial movement and improving sym

Full shuffle and p-rectified semi-inner powerful IoU-based chili pepper flower recognition with environment-aware YOLO11

Front Plant Sci. 2026 Sep 16;17:1935123. doi: 10.3389/fpls.2026.1935123. eCollection 2026.ABSTRACTAs a common greenhouse-grown commercial crop, chili pepper yields have always been a focus of attention. Effective management is essential for both environmental sustainability and high productivity in

Artificial Intelligence in Medical Education: A Cross-Sectional Study of Usage Patterns and Perceptions Among Medical Students at a Brazilian Public University

Adv Med Educ Pract. 2026 Sep 26;17:649442. doi: 10.2147/AMEP.S649442. eCollection 2026.ABSTRACTPURPOSE: To describe self-reported artificial intelligence (AI) use and perceptions of benefits, risks, and curricular integration among medical students with previous AI contact at a Brazilian public univ

A cross-sectional evaluation of large language model chatbot interfaces for patient-facing herpes zoster information: safety, information quality, and readability

Front Public Health. 2026 Sep 16;14:1955701. doi: 10.3389/fpubh.2026.1955701. eCollection 2026.ABSTRACTBACKGROUND: Large language model (LLM) chatbots are increasingly used to obtain health information. However, fluent and clinically plausible responses may still contain safety-relevant omissions, i

Fibrosis-Driven Cardiovascular Risk in Metabolic Dysfunction-Associated Steatotic Liver Disease: Emerging Links With Atherosclerotic Cardiovascular Disease

Cureus. 2026 Aug 31;18(8):e115501. doi: 10.7759/cureus.115501. eCollection 2026 Aug.ABSTRACTMetabolic dysfunction-associated steatotic liver disease (MASLD) is increasingly recognized as a multisystem cardiometabolic disorder with major implications for atherosclerotic cardiovascular disease (ASCVD)

Ending maternal deaths in Africa: An agenda for the African Academy of Sciences

Afr J Reprod Health. 2026 Oct 1;(18). doi: 10.29063/ajrh2026/v30i18.1.ABSTRACTMaternal death remains one of Africa's most painful and unacceptable public health failures. In an era in which African countries are producing world-class scientists, developing sophisticated health technologies and embra

The convergence paradox: a constructivist account of perceived template convergence and originative agency under generative artificial intelligence

Front Psychol. 2026 Sep 16;17:1924628. doi: 10.3389/fpsyg.2026.1924628. eCollection 2026.ABSTRACTGenerative artificial intelligence (AI) has raised a widely shared concern that human cognitive and creative output is drifting toward common templates. The terms used to describe this drift, including a

A CCL4-enriched NK-cell transcriptional state is associated with inflammatory and myeloid-stromal programs in colorectal cancer liver metastasis

Front Immunol. 2026 Sep 16;17:1923511. doi: 10.3389/fimmu.2026.1923511. eCollection 2026.ABSTRACTBACKGROUND: Colorectal cancer liver metastasis (CRLM) develops within a liver-specific immune and stromal microenvironment, yet the natural killer (NK)-cell adaptations associated with this metastatic ni

Digital transformation in education: psychological perspectives on learning, engagement, and outcomes: a systematic review and meta-analysis

Front Psychol. 2026 Sep 16;17:1856031. doi: 10.3389/fpsyg.2026.1856031. eCollection 2026.ABSTRACTBACKGROUND: The process of digital transformation has developed new educational systems that use technology-based tools, including learning management systems, artificial intelligence, and gamified syste

CDTD-Agent: a retrieval-augmented multi-agent digital health framework for integrated diabetes care: a single-case expert-rated pilot study

Front Digit Health. 2026 Sep 16;8:1923975. doi: 10.3389/fdgth.2026.1923975. eCollection 2026.ABSTRACTBACKGROUND: Diabetes management increasingly requires coordination across Western medicine, traditional Chinese medicine (TCM), and lifestyle-based health management. General-purpose large language m

Enhanced Sampling of Protein Conformations in AlphaFold3 with Repulsive Bias in the Diffusion Generative Model

JACS Au. 2026 Aug 26;6(9):5010-5024. doi: 10.1021/jacsau.6c00596. eCollection 2026 Sep 28.ABSTRACTConformational changes in proteins are vital to their function yet remain challenging for state-of-the-art artificial intelligence, such as AlphaFold3 (AF3), to predict. It has been observed that AF3 so

Preoperative differentiation of spinal tuberculosis, pyogenic, and brucellar spondylitis: a multimodal machine learning study across five centers

Front Cell Infect Microbiol. 2026 Sep 16;16:1925786. doi: 10.3389/fcimb.2026.1925786. eCollection 2026.ABSTRACTBACKGROUND: Infectious spondylitis, encompassing spinal tuberculosis (STB), pyogenic spondylitis (PS), and brucellar spondylitis (BS), is difficult to diagnose preoperatively because the th

Pathogen prevalence, feature composition and cross-centre generalisability of machine learning diagnostic models for multi-pathogen respiratory infection

Front Public Health. 2026 Sep 16;14:1961816. doi: 10.3389/fpubh.2026.1961816. eCollection 2026.ABSTRACTOBJECTIVE: To evaluate the predictive information contained in the restricted surveillance feature set (demographic, temporal and specimen variables) for respiratory pathogen identification, and to

Integrating technology-assisted behavioral management into a summer obesity prevention intervention program: a pilot controlled trial

Front Physiol. 2026 Sep 16;17:1914161. doi: 10.3389/fphys.2026.1914161. eCollection 2026.ABSTRACTBACKGROUND: Adolescents commonly experience weight gain during summer months due to less structured daily schedules.OBJECTIVES: The pilot study aimed to assess (1) acceptability of the AI-assisted ProudM

From writing paragraphs to evaluating articles: academic vocabulary development in EFL health sciences students during the ChatGPT transition

Front Med (Lausanne). 2026 Sep 16;13:1895483. doi: 10.3389/fmed.2026.1895483. eCollection 2026.ABSTRACTINTRODUCTION: Evidence-based practice requires students to read, evaluate, and write about research, all of which depend on academic vocabulary. For English as a Foreign Language (EFL) health scien