Oral acute graft-versus-host disease.

Oral acute graft-versus-host disease (aGVHD) is rare and with no diagnostic criteria. We report a case of oral aGVHD with three clinical phases. A self-limited prodrome of largely subjective oral symptoms was followed by concurrent oral and upper gastrointestinal aGVHD.

A sex-dependent salivary bacterium influences oral mucositis severity after allogeneic hematopoietic cell transplantation.

The success of allogeneic hematopoietic cell transplantation (alloHCT) in curing hematologic disorders is limited by its short- and long-term toxicities. One such toxicity is oral mucositis (OM), causing pain, speech/swallowing difficulty, and prolonged hospitalization. Although conditioning chemoradiotherapy is the direct cause of OM, potential host-intrinsic mediators of mucosal injury remain elusive.

Pseudo-subarachnoid haemorrhage: An unusual presentation of hyperviscosity syndrome.

Hyperviscosity syndrome can present with haematological, neurological or cardiovascular manifestations. The common differential diagnoses for severe headache and altered sensorium in a patient with Eisenmenger syndrome include brain abscess, meningitis, cortical venous thrombosis and subarachnoid haemorrhage (SAH). We report a patient with Eisenmenger syndrome with hyperviscosity, presenting as pseudo-SAH, which was successfully treated with phlebotomy.

How I treat newly diagnosed acute lymphoblastic leukemia.

Treatment algorithms differ for adult patients with Philadelphia-negative (Ph-) and Philadelphia-positive (Ph+) acute lymphoblastic leukemia (ALL). For Ph- ALL intensive induction-consolidation chemotherapy using "pediatric-inspired" protocols is a standard of care. Allogeneic hematopoietic cell transplantation (allo-HCT) from either an HLA-matched sibling, unrelated or haploidentical donor should be considered for patients with high estimated risk of relapse.

Persuading Patients Using Rhetoric to Improve Artificial Intelligence Adoption: Experimental Study.

Background: Artificial intelligence (AI) can transform health care processes with its increasing ability to translate complex structured and unstructured data into actionable clinical decisions. Although it has been established that AI is much more efficient than a clinician, the adoption rate has been slower in health care. Prior studies have pointed out that the lack of trust in AI, privacy concerns, degrees of customer innovativeness, and perceived novelty value influence AI adoption.