What is he best known for?
The fields of study he is best known for:
- Cancer
- Internal medicine
- Artificial intelligence
His primary areas of study are Surgery, Internal medicine, Cancer, Chemotherapy and Randomized controlled trial.
His work on Lung cancer expands to the thematically related Surgery.
Steven Piantadosi interconnects Gastroenterology, Oncology and Pathology in the investigation of issues within Internal medicine.
He works mostly in the field of Cancer, limiting it down to topics relating to Endocrinology and, in certain cases, Anemia and Cisplatin, as a part of the same area of interest.
The various areas that Steven Piantadosi examines in his Chemotherapy study include Hemoglobin, Newly diagnosed and Hypoxemia.
His Randomized controlled trial study combines topics in areas such as Permissive hypercapnia, Clinical trial, Cerebral palsy, Placebo and Tidal volume.
His most cited work include:
- The prevalence of psychological distress by cancer site (1878 citations)
- A randomized trial comparing lung-volume-reduction surgery with medical therapy for severe emphysema. (1595 citations)
- Treatment of Colonic and Rectal Adenomas with Sulindac in Familial Adenomatous Polyposis (1561 citations)
What are the main themes of his work throughout his whole career to date?
His main research concerns Internal medicine, Surgery, Oncology, Clinical trial and Artificial intelligence.
His Internal medicine research integrates issues from Gastroenterology and Pathology.
He studied Surgery and Lung cancer that intersect with Adverse effect.
Many of his studies on Oncology apply to Immunology as well.
Clinical trial is closely attributed to Intensive care medicine in his work.
His research in Artificial intelligence intersects with topics in Concept learning, Machine learning and Natural language processing.
He most often published in these fields:
- Internal medicine (28.33%)
- Surgery (25.37%)
- Oncology (16.01%)
What were the highlights of his more recent work (between 2017-2021)?
- Artificial intelligence (10.10%)
- Clinical trial (11.82%)
- Cognition (4.19%)
In recent papers he was focusing on the following fields of study:
Steven Piantadosi mainly focuses on Artificial intelligence, Clinical trial, Cognition, Cognitive psychology and Bayesian probability.
Steven Piantadosi combines subjects such as Text mining, Natural language processing, Pattern recognition and Machine learning with his study of Artificial intelligence.
His Clinical trial research includes themes of Physical therapy, Randomized controlled trial, Performance status and Process management.
His work in Performance status addresses subjects such as Tolerability, which are connected to disciplines such as Cancer.
Oncology and Internal medicine are fields of study that overlap with his Wearable technology research.
Steven Piantadosi applies his multidisciplinary studies on Internal medicine and Veliparib in his research.
Between 2017 and 2021, his most popular works were:
- Wearable activity monitors to assess performance status and predict clinical outcomes in advanced cancer patients. (47 citations)
- Wearable activity monitors in oncology trials: Current use of an emerging technology. (47 citations)
- A phase 1 study of veliparib, a PARP-1/2 inhibitor, with gemcitabine and radiotherapy in locally advanced pancreatic cancer. (27 citations)
In his most recent research, the most cited papers focused on:
- Cancer
- Internal medicine
- Artificial intelligence
Steven Piantadosi focuses on Artificial intelligence, Bayesian probability, Clinical trial, Information theory and Natural language processing.
His Artificial intelligence research is multidisciplinary, incorporating perspectives in Accumulator, Causal model, Numerical cognition and Pattern recognition.
Steven Piantadosi conducts interdisciplinary study in the fields of Clinical trial and Medical care through his research.
His Information theory study also includes
- Composition that intertwine with fields like Context, Mutual information, Syntax, Semantics and Language network,
- Syntax that connect with fields like Upper and lower bounds, Lexical semantics and Language acquisition.
The various areas that Steven Piantadosi examines in his Natural language processing study include Phonology and Word lists by frequency.
The Performance status study combines topics in areas such as Adverse effect, Quality of life, Randomized controlled trial, Activities of daily living and Outcomes research.
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